Snowflake Integrations

Reveal empowers Partnership, Marketing, and Sales teams to enhance their win rates by as much as threefold through the integration of their CRM systems into a broader ecosystem, allowing for the identification and conversion of key strategic leads. This approach is not only user-friendly but also as enlightening as a sudden realization. The strength of collaboration is undeniable, impacting both business and other areas of life. Hence, we assist B2B companies in propelling their growth through collective efforts. By analyzing CRM data from both parties, Reveal uncovers shared, high-potential accounts along with new qualified leads. Embracing the idea that creating value together is essential, we champion a concept we call Collaborative Growth, which we believe should remain free indefinitely. This principle defines our pricing model. Engage with key businesses in your ecosystem to forge new long and short-term connections, or let us propose beneficial connections. Our innovative algorithm is eager to assist you in comparing your CRM against others in your ecosystem in real-time, ensuring you never miss an opportunity for growth.

You can quickly create and share dynamic, customizable, and beautiful dashboards that showcase your data in just a few clicks. Explore your data with our no-code visualiser or perform deeper analysis using the state-of-the art SQL editor. A lightweight, powerful visualization layer will allow you to leverage the investments made in your data infrastructure. Superset doesn't require any additional ingestion layers and is independent of your underlying data architecture. Apache Superset is an open-source data visualization tool that was developed out of Airbnb. Preset was founded by the original creator and maintainer of Superset. It provides a complete, easy-to-use, enterprise-ready platform for Superset.

eRAG: The Power of ChatGPT with your Operational Data eRAG combines the power of real-time operational data with ChatGPT’s amazing user experience. With eRAG, you can get accurate, consistent answers and can carry out intuitive data exploration with your operational structured data. With its sophisticated semantic reasoning capabilities, eRAG lets you respond proactively to business as it happens with the confidence of knowing your decisions are grounded in concrete enterprise operational data. eRAG gives you immediate answers visualized as graphs, tables, and summaries. It gives you insights and explores additional angles. It even uses AI agents to suggest actions, based on situational data analysis. eRAG gives everyone in your organization—from IT leaders to frontline staff—the ability to easily engage with enterprise data in natural language, gain accurate insights instantly, and trigger actions when they matter most. With operational data at your fingertips, now is the time to change the way you work with data. With eRAG, you can query any number of live data sources without thinking about where the data is or how it’s stored. There’s no data prep, no aggregation, and no waiting. Just connect your data sources, and eRAG handles the rest. Delivered as a SaaS service, you can achieve fast time-to-value, with powerful insights at your fingertips.

Cube serves as a comprehensive platform that establishes a universal semantic layer aimed at streamlining and consolidating the management and analysis of enterprise data. By revolutionizing data management practices, Cube removes the challenges associated with inconsistent models and metrics, thereby providing users with reliable data that is also primed for AI applications. This innovative platform is instrumental for organizations seeking to expand their data infrastructure by harmonizing various data sources and generating uniform metrics applicable across different teams. Tailored for enterprises, Cube enhances analytical capabilities, ensures data accessibility, and facilitates effortless access to AI-driven insights. With Cube, companies can navigate the complexities of data management more effectively than ever before.

Uncover your data, evaluate potential risks, and keep an eye on unusual access patterns to streamline protection, enhance transparency, and improve response times, all through a single platform. Focus on bolstering investments in data privacy and protection initiatives, including policies, processes, and programs. Assess the value across various domains by utilizing metadata from specific database sources to provide insights into risk visibility. Establish a comprehensive subject registry and automate identity mapping to effectively manage data subject access requests (DSARs). Deliver thorough summaries through APIs that connect with third-party solutions, implementing controls for data objects and beyond. Identify the locations of sensitive data as well as its movement to different data repositories and cloud applications. Address risks based on their priority, simulate potential threats to evaluate impacts for informed decision-making, and introduce relevant controls. Leverage an extensive selection of dashboard drill-downs for a comprehensive view of data risks and control deficiencies. Additionally, generate integrated reports on data subjects, automate risk mitigation efforts, and utilize visualizations and alerts to maintain a proactive stance in data management. This approach ensures a holistic strategy for safeguarding sensitive information while navigating the complexities of data protection.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Outdoo is a unified AI roleplay and coaching platform that helps customer-facing teams practice, execute, and improve real customer conversations through integrated roleplay, feedback, and performance tracking. The system delivers AI-driven roleplay simulations based on real scenarios and deal context. Users receive structured feedback through unified scorecards that measure competencies across both simulated practice and live calls. Targeted micro-learning modules reinforce specific skill gaps, supporting onboarding, ongoing training, and continuous performance development. For managers and enablement leaders, Outdoo provides visibility into readiness, coaching activity, and skill progression across individuals and teams. Centralized dashboards connect practice data with execution outcomes. The platform integrates with learning management systems (LMS), customer relationship management (CRM) platforms, and conversation intelligence tools. It supports SCORM and xAPI standards and integrates with more than 120 enterprise systems. Key features include: * AI-powered roleplay simulations grounded in real customer scenarios * Unified scorecards for both practice sessions and live interactions * Personalized micro-learning tied to skill gaps * Manager dashboards for tracking readiness and coaching effectiveness * Enterprise integrations across LMS, CRM, and conversation intelligence platforms Outdoo is used by organizations seeking structured, measurable coaching processes that link training directly to real-world performance.

Gain a comprehensive perspective of your supplier network to enhance the management of relationships, risks, and operational workflows. Utilize our master data-driven business solution to effectively oversee supplier information. Facilitate the registration of new suppliers via the portal while ensuring they submit all necessary details. Effortlessly access and verify the information and documents provided by suppliers to confirm their eligibility for onboarding. Centrally validate, verify, and enhance email addresses, physical addresses, and phone numbers through Informatica Data as a Service. Enable vendors to upload updated product catalogs, utilizing Informatica Product 360 to guarantee that you possess thorough information. Gain insights into your suppliers' suppliers and the origins of their services and materials. Evaluate supplier performance and keep track of locations, products supplied, invoice statuses, and the duration of onboarding processes. By improving transparency within your supply chain, you can safeguard your brand and foster greater trust in relationships with third parties, ultimately leading to more robust partnerships and better business outcomes.

Renowned startpoint security software products in the IRI Data Protector suite and IRI Voracity data management platform will: classify, find, and mask personally identifiable information (PII) and other "data at risk" in almost every enterprise data source and sillo today, on-premise or in the cloud. Each IRI data masking tool in the suite -- FieldShield, DarkShield or CellShield EE -- can help you comply (and prove compliance) with the CCPA, CIPSEA, FERPA, HIPAA/HITECH, PCI DSS, and SOC2 in the US, and international data privacy laws like the GDPR, KVKK, LGPD, LOPD, PDPA, PIPEDA and POPI. Co-located and compatible IRI tooling in Voracity, including IRI RowGen, can also synthesize test data from scratch, and produce referentially correct (and optionally masked) database subsets. IRI and its authorized partners around the world can help you implement fit-for-purpose compliance and breach mitigation solutions using these technologies if you need help. ​

Promethium empowers data and analytics teams to enhance their efficiency, enabling them to keep pace with the increasing volumes of data and the evolving demands of the business landscape. Merely linking to a data warehouse or lake for raw data access falls short of meeting the required standards. The process of refining datasets demands considerable effort from data teams, which are not expanding at the same rate as the influx of data or the appetite for insights. By leveraging Promethium, burdened data teams can optimize their workflows, leading to faster deliveries. The platform minimizes reliance on traditional ETL processes, granting on-demand access to data in its original location. This reduction in data movement not only conserves time but also cuts costs. With Promethium, an individual can achieve in mere minutes what generally requires a team several months and multiple tools to accomplish. Users can effortlessly connect and catalog data sources, as well as create and query cross-source datasets with just a few clicks, all without needing to write any code. This significant decrease in custom coding and ETL processes allows for real-time validation of data accuracy, eliminating the delays often associated with extensive ETL efforts. Additionally, the ability to instantly share completed work fosters a culture of reuse, preventing the need for repetitive recreation of analyses. Such features not only streamline operations but also enhance collaboration among team members.

The Qlik Data Integration platform designed for managed data lakes streamlines the delivery of consistently updated, reliable, and trusted data sets for business analytics purposes. Data engineers enjoy the flexibility to swiftly incorporate new data sources, ensuring effective management at every stage of the data lake pipeline, which includes real-time data ingestion, refinement, provisioning, and governance. It serves as an intuitive and comprehensive solution for the ongoing ingestion of enterprise data into widely-used data lakes in real-time. Employing a model-driven strategy, it facilitates the rapid design, construction, and management of data lakes, whether on-premises or in the cloud. Furthermore, it provides a sophisticated enterprise-scale data catalog that enables secure sharing of all derived data sets with business users, thereby enhancing collaboration and data-driven decision-making across the organization. This comprehensive approach not only optimizes data management but also empowers users by making valuable insights readily accessible.

LOGIQ.AI's LogFlow offers a unified management system for your observability data pipelines. As data streams are received, they are efficiently categorized and optimized to serve the needs of your business teams and knowledge workers. XOps teams can streamline their data flow management, enhancing data EPS control while also improving the quality and relevance of the data. LogFlow’s InstaStore, built on any object storage solution, provides limitless data retention and allows for on-demand data playback to any observability platform you prefer. This enables the analysis of operational metrics across various applications and infrastructure, yielding actionable insights that empower you to scale confidently while ensuring consistent high availability. By collecting, transforming, and analyzing behavioral data and usage trends from business systems, you can enhance business decisions and improve user experiences. Furthermore, in an ever-evolving threat landscape, it's essential to stay ahead; with LogFlow, you can identify and analyze threat patterns coming from diverse sources, automating both threat prevention and remediation processes effectively. This proactive approach not only strengthens security but also fosters a resilient operational environment.

Bigeye is a platform designed for data observability that empowers teams to effectively assess, enhance, and convey the quality of data at any scale. When data quality problems lead to outages, it can erode business confidence in the data. Bigeye aids in restoring that trust, beginning with comprehensive monitoring. It identifies missing or faulty reporting data before it reaches executives in their dashboards, preventing potential misinformed decisions. Additionally, it alerts users about issues with training data prior to model retraining, helping to mitigate the anxiety that stems from the uncertainty of data accuracy. The statuses of pipeline jobs often fail to provide a complete picture, highlighting the necessity of actively monitoring the data itself to ensure its suitability for use. By keeping track of dataset-level freshness, organizations can confirm pipelines are functioning correctly, even in the event of ETL orchestrator failures. Furthermore, the platform allows you to stay informed about modifications in event names, region codes, product types, and other categorical data, while also detecting any significant fluctuations in row counts, nulls, and blank values to make sure that the data is being populated as expected. Overall, Bigeye turns data quality management into a proactive process, ensuring reliability and trustworthiness in data handling.

Discover the ideal business software that combines the affordability and speed of standard solutions with the bespoke advantages of custom software. Whether you're involved in business or technology, you can enjoy remarkable flexibility, exceptional performance, and virtually limitless scalability to create or implement any software quickly and cost-effectively. The Emgage Application Platform comprises a comprehensive suite of easy-to-use services capable of supporting nearly any feature you envision. Our applications are developed on the foundation of this platform, which offers a strong and interconnected set of technologies that unlocks powerful functionalities, allowing you to enhance or broaden your applications while remaining rooted in a unified framework. Effortlessly manage your data and content without concerns about their storage locations. Integrate countless data sources to establish a robust data ecosystem. Furthermore, rest easy without the anxiety of managing your essential business applications, knowing that the Emgage platform has you covered. This innovative solution empowers your business to thrive in an ever-evolving digital landscape.

Uncover the hidden order within your intricate data landscape and consistently know where to seek solutions. Datakin seamlessly tracks data lineage, presenting your entire data ecosystem through an engaging visual graph. This visualization effectively highlights the upstream and downstream connections associated with each dataset. The Duration tab provides an overview of a job’s performance in a Gantt-style chart, complemented by its upstream dependencies, which simplifies the identification of potential bottlenecks. When it's essential to determine the precise moment a breaking change occurs, the Compare tab allows you to observe how your jobs and datasets have evolved between different runs. Occasionally, jobs that complete successfully may yield poor output. The Quality tab reveals crucial data quality metrics and their fluctuations over time, making anomalies starkly apparent. By facilitating the swift identification of root causes for issues, Datakin also plays a vital role in preventing future complications from arising. This proactive approach ensures that your data remains reliable and efficient in supporting your business needs.

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear and before anyone else is impacted. -Depth of Checks: Provides both foundational observability (automated checks for data freshness, volume, schema changes) and deep data quality monitoring (automated checks for data consistency and correctness). -Automation: Use unsupervised machine learning to automatically identify missing and anomalous data. -Easy for everyone, no-code UI: A user can generate a no-code check that calculates a metric, plots it over time, generates a time series model, sends intuitive alerts to tools like Slack, and returns a root cause analysis. -Intelligent Alerting: Incredibly powerful unsupervised machine learning intelligently readjusts time series models and uses automatic secondary checks to weed out false positives. -Time to Resolution: Automatically generates a root cause analysis that saves users time determining why an anomaly is occurring. Our triage feature orchestrates a resolution workflow and can integrate with many remediation steps, like ticketing systems. -In-VPC Development: Data never leaves the customer’s environment. Anomalo can be run entirely in-VPC for the utmost in privacy & security

Create your application effortlessly. Turbine serves as a developer-oriented framework for data applications, allowing you to construct real-time, event-driven solutions, products, and services seamlessly. Forget about dealing with fragile data systems; instead, harness the advantages of a code-first approach. The challenges of writing code for data infrastructure are well-known, as what functions on your local setup might not behave the same way in a production environment. With Turbine's consistent code practices, the outcomes you anticipate from your local unit tests will align with what occurs in both staging and production phases. You can effectively deploy, monitor, and scale your data applications with Turbine. Furthermore, the Meroxa data platform alleviates the burdens of configuring and managing brokers, connectors, transformations, functions, and streaming infrastructure, allowing you to dedicate more time to feature development and innovation. This means you can focus more on delivering value rather than getting bogged down by technical complexities.

RestApp is a No Code Data Activation Platform that provides anyone with an all-in one solution to connect, model and sync any data using his favorite tools. RestApp allows Data & Ops teams activate data in minutes using No-Code by: Connecting to your favorite databases and business apps Drag-and-drop SQL, NoSQL, and Python functions to model your data and then create and share queries with your colleagues - Automatically sync your data with your tools RestApp makes it easy to use our templates to: - Computing your main financial KPIs: churn rate, MRR, ARR, ACV, ARPU, LVT - Calculating your customers' lead scoring - Generate automatic cohort analyses

Canva utilizes a tool designed to pinpoint which of their vast number of free users are ideally suited for transitioning to premium subscriptions. This tool offers seamless one-click integrations into your current setup, eliminating the need for any change management. You can bring your most innovative go-to-market concepts to fruition, starting on a small scale, iterating quickly, and validating their effectiveness through integrated A/B testing. Transition the most effective growth initiatives from a controlled environment to a broader audience. Delve into the often-overlooked realm of B2B SaaS presented at a B2C scale, managing trillions of clickstream data points, tens of millions of users, and several terabytes of information sourced from companies like Canva, Grafana, and Gather. Every decade has introduced a significant transformation in SaaS go-to-market tactics, and now is no different. By enhancing your sales pipeline, you empower your teams to work more efficiently. Companies that adopt a product-led growth strategy encounter the daily task of prioritizing their sales efforts. Focusing on identifying users who are most inclined to convert to paying customers is crucial for ensuring long-term success and adapting to market changes.

Utilize product usage analytics to identify your highest self-serve signups. Gain a comprehensive understanding of your customers and the relationships you maintain with them. Connect with customers during pivotal moments to enhance conversion rates. Amplify your product-led go-to-market strategy by consolidating insights and actions into a single platform. Concentrate your efforts on the customers with the greatest potential for growth. Leverage both product and customer data to prioritize sign-ups that are most likely to yield conversions. Analyze customer engagement with your product and their interactions with your team. Eliminate the confusion of an incomplete customer profile and gain clarity. Engage customers during crucial milestones to bolster conversion success. Receive immediate notifications when customers reach specific metrics or undertake significant actions. Optimize your processes with Calixa to execute tasks seamlessly, whether it’s launching a sequence, creating an opportunity, or extending a trial—all from one interface. Stop the frustration of switching between different tabs. Begin your journey in just a few minutes instead of waiting months. By simply clicking a few buttons, you can integrate all your data into Calixa, and we will manage the rest for you, ensuring a smooth experience. Additionally, this streamlined approach allows for better tracking of customer progress and enhances overall engagement.

Hex unites the finest features of notebooks, business intelligence, and documentation into a cohesive and collaborative user interface, establishing itself as a contemporary Data Workspace. It simplifies the process of connecting to various data sources and allows for collaborative analysis via SQL and Python-based notebooks, enabling users to share their findings as interactive data applications and narratives. Upon entering Hex, the Projects page serves as the default landing area, making it easy to access both your own projects and those shared within your workspace. The outline feature offers a streamlined overview of all cells contained in a project's Logic View, where each cell is annotated with the variables it defines. Furthermore, cells that produce visible outputs—such as chart cells, input parameters, and markdown cells—provide a preview of their results. By clicking on any cell within the outline, users can instantly navigate to that specific location in the logic, enhancing the overall efficiency of the workflow. This functionality ensures that collaboration and data exploration are both intuitive and effective.

Mona is a flexible and intelligent monitoring platform for AI / ML. Data science teams leverage Mona’s powerful analytical engine to gain granular insights about the behavior of their data and models, and detect issues within specific segments of data, in order to reduce business risk and pinpoint areas that need improvements. Mona enables tracking custom metrics for any AI use case within any industry and easily integrates with existing tech stacks. In 2018, we ventured on a mission to empower data teams to make AI more impactful and reliable, and to raise the collective confidence of business and technology leaders in their ability to make the most out of AI. We have built the leading intelligent monitoring platform to provide data and AI teams with continuous insights to help them reduce risks, optimize their operations, and ultimately build more valuable AI systems. Enterprises in a variety of industries leverage Mona for NLP/NLU, speech, computer vision, and machine learning use cases. Mona was founded by experienced product leaders from Google and McKinsey&Co, is backed by top VCs, and is HQ in Atlanta, Georgia. In 2021, Mona was recognized by Gartner as a Cool Vendor in AI Operationalization and Engineering.

To enhance your decision-making process, it's essential to utilize customer data without the burden of requiring engineers to write code for every single event. Freshpaint automatically identifies clicks and actions on your website and transfers the collected data to numerous analytics and advertising platforms through its ready-made integrations. If you happen to miss tracking an event, Freshpaint can provide you with immediate insights by retrieving historical data for any newly identified event, eliminating the usual waiting period of two weeks. For startups in the digital health sector, Freshpaint is ready to sign Business Associate Agreements (BAAs) and is entirely tailored to handle Protected Health Information (PHI). Since developers typically implement tracking for various analytics and marketing tools but aren’t always the primary users of these systems, Freshpaint offers the adaptability needed for a more efficient workflow. This allows teams to accelerate their pace and allocate more time to focus on developing their core products effectively. By streamlining the data tracking process, Freshpaint empowers businesses to make informed decisions swiftly.

Gravity aims to simplify the process of streaming data from over 100 different sources, allowing users to pay only for what they actually utilize. By providing a straightforward interface, Gravity eliminates the need for engineering teams to create streaming pipelines, enabling users to set up streaming from databases, event data, and APIs in just minutes. This empowers everyone on the data team to engage in a user-friendly point-and-click environment, allowing you to concentrate on developing applications, services, and enhancing customer experiences. Additionally, Gravity offers comprehensive execution tracing and detailed error messages for swift problem identification and resolution. To facilitate a quick start, we have introduced various new features, including bulk setup options, predefined schemas, data selection capabilities, and numerous job modes and statuses. With Gravity, you can spend less time managing infrastructure and more time performing data analysis, as our intelligent engine ensures your pipelines run seamlessly. Furthermore, Gravity provides integration with your existing systems for effective notifications and orchestration, enhancing overall workflow efficiency. Ultimately, Gravity equips your team with the tools needed to transform data into actionable insights effortlessly.

With Osmos, customers can effortlessly tidy up their disorganized data files and seamlessly upload them into their operational systems without the need for any coding. Central to our service is an AI-driven data transformation engine, which allows users to quickly map, validate, and clean their data with just a few clicks. When a plan is changed, your account will be adjusted in accordance with the proportion of the billing cycle remaining. For instance, an eCommerce business can streamline the ingestion of product catalog data sourced from various distributors and vendors directly into their database. Similarly, a manufacturing firm can automate the extraction of purchase orders from email attachments into their Netsuite system. This solution enables users to automatically clean and reformat incoming data to align with their target schema effortlessly. By using Osmos, you can finally say goodbye to the hassle of dealing with custom scripts and cumbersome spreadsheets. Our platform is designed to enhance efficiency and accuracy, ensuring that your data management processes are smooth and reliable.

SQL is a specialized programming language designed specifically for the purpose of retrieving, organizing, and modifying data within relational databases and the systems that manage them. Its use is essential for effective database management and interaction.

In the current landscape, forward-thinking companies are utilizing data to outperform competitors, enhance customer satisfaction, and identify new avenues for growth. However, they also face the complexities posed by industry regulations and strict data privacy laws that put pressure on conventional technologies and workflows. The importance of data quality cannot be overstated, yet it frequently falters before reaching business intelligence and analytics tools. Wiiisdom Ops is designed to help organizations maintain quality assurance within the analytics phase, which is crucial for the final leg of the data journey. Neglecting this aspect could expose your organization to significant risks, leading to poor choices and potential automated failures. Achieving large-scale BI testing is unfeasible without the aid of automation. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline, providing a comprehensive analytics testing loop while reducing expenses. Notably, it does not necessitate engineering expertise for implementation. You can centralize and automate your testing procedures through an intuitive user interface, making it easy to share results across teams, which enhances collaboration and transparency.

Deploy machine learning applications in just minutes instead of taking months. Streamline the conversion of raw data, create training datasets, and deliver features for scalable online inference effortlessly. By replacing custom data pipelines with reliable automated pipelines, you can save significant time and effort. Boost your team's productivity by enabling the sharing of features across the organization while standardizing all your machine learning data workflows within a single platform. With the ability to serve features at massive scale, you can trust that your systems will remain operational consistently. Tecton adheres to rigorous security and compliance standards. Importantly, Tecton is not a database or a processing engine; instead, it integrates seamlessly with your current storage and processing systems, enhancing their orchestration capabilities. This integration allows for greater flexibility and efficiency in managing your machine learning processes.

Coiled simplifies the process of using Dask at an enterprise level by managing Dask clusters within your AWS or GCP accounts, offering a secure and efficient method for deploying Dask in a production environment. With Coiled, you can set up cloud infrastructure in mere minutes, allowing for a seamless deployment experience with minimal effort on your part. You have the flexibility to tailor the types of cluster nodes to meet the specific requirements of your analysis. Utilize Dask in Jupyter Notebooks while gaining access to real-time dashboards and insights about your clusters. The platform also facilitates the easy creation of software environments with personalized dependencies tailored to your Dask workflows. Coiled prioritizes enterprise-level security and provides cost-effective solutions through service level agreements, user-level management, and automatic termination of clusters when they’re no longer needed. Deploying your cluster on AWS or GCP is straightforward and can be accomplished in just a few minutes, all without needing a credit card. You can initiate your code from a variety of sources, including cloud-based services like AWS SageMaker, open-source platforms like JupyterHub, or even directly from your personal laptop, ensuring that you have the freedom and flexibility to work from anywhere. This level of accessibility and customization makes Coiled an ideal choice for teams looking to leverage Dask efficiently.

At Progress DataDirect, we are passionate about enhancing applications through enterprise data. Our solutions for data connectivity cater to both cloud and on-premises environments, encompassing a wide range of sources such as relational databases, NoSQL, Big Data, and SaaS. We prioritize performance, reliability, and security, which are integral to our designs for numerous enterprises and prominent analytics, BI, and data management vendors. By utilizing our extensive portfolio of high-value connectors, you can significantly reduce your development costs across diverse data sources. Our commitment to customer satisfaction includes providing 24/7 world-class support and robust security measures to ensure peace of mind. Experience the convenience of our affordable, user-friendly drivers that facilitate quicker SQL access to your data. As a frontrunner in the data connectivity sector, we are dedicated to staying ahead of industry trends. If you happen to need a specific connector that we have not yet created, don't hesitate to contact us, and we will assist you in developing an effective solution. It's our mission to seamlessly embed connectivity into your applications or services, enhancing their overall functionality.

In just 15 minutes, you can set up your automated data catalogue and receive column-level lines, Entity Relationship diagrams, and auto-populated documentation in 24 hours. You can easily tag, find, and add documentation to data so everyone can find the right one for them. Select Star automatically detects your column-level data lineage and displays it. Now you can trust the data by knowing where it came. Select Star automatically displays how your company uses data. This allows you to identify relevant data fields without having to ask anyone else. Select Star ensures that your data is protected with AICPA SOC2 Security, Confidentiality and Availability standards.

Access top-tier B2B commercial data tailored to your preferences, ensuring flexibility and accessibility to supercharge your business growth. With leading match rates, impressive accuracy, and exceptional fill statistics, our data reliability outshines competitors by a factor of ten. Unearth potential customers across various channels and enrich your CRM, MAP, cloud data warehouse, or other record systems with the most precise and actionable insights available. Explore our extensive global database, which includes information on businesses ranging from local shops to multinational corporations, featuring detailed firmographics, hierarchies, and technographics developed using our innovative technology. Don’t settle for mere company data; gain a comprehensive view of your customers with unparalleled contact information, real-time intent data, and valuable insights, all accessible from a single platform. Seamlessly integrate our extensive B2B data into any existing system or workflow, and customize the format to suit your needs through cloud data shares, APIs, flat files, or orchestration applications. By choosing us, you empower your organization to leverage superior data intelligence and drive strategic decision-making effectively.

Elevate your advertising monetization strategies using our complete header-bidding solution designed specifically for digital publishers. Move past mere content analytics with Publisher Intelligence, which merges human insight with machine learning to enhance your publishing decisions and optimize revenue streams. Gain an immediate and comprehensive overview of your entire operation with exclusive publishing metrics and forecasts that keep you informed. Experience in-depth analytics covering editorial content, distribution channels, revenue streams, and subscriber data. Examine revenue and subscription statistics categorized by writers, topics, traffic sources, and much more. Monitor your authors, audience engagement, and revenue trends in real-time to stay agile. Additionally, consider implementing instant notifications that allow you to tweak your editorial strategies seamlessly as needs arise. This proactive approach can significantly enhance your operational efficiency and revenue potential.

Keebo datalearning is a great option if you are concerned about cloud warehousing costs rising and your data team spending hours optimizing queries and data modeling, or if users are complaining of slow dashboards. Snowflake is a great platform, but it can also be very expensive. Keebo's fully automated optimizations can cut down your Snowflake costs in a matter of minutes. We only charge a percentage of the savings we make for you. There are no savings and no charges Are you busy with other priorities? Keebo takes only 30 minutes from start to finish. You can set it and forget about it. You don't have to install anything, or grant access to any data. Poorly performing queries are a problem for every data team, requiring so much manual effort, time, and expertise. You can get the performance you want without putting in so much effort. You can improve performance across all platforms with a platform-independent solution. This increases the ROI of your existing data and analytics stack. Implement with zero code, zero changes & zero migration.

In 30 minutes, you can monitor your entire warehouse. Automated warehouse-to-BI lineage can identify downstream impacts. Trust can be lost in seconds and regained in months. With modern data-era observability, you can have peace of mind. It can be difficult to get the coverage you need with code-based tests. They take hours to create and maintain. Metaplane allows you to add hundreds of tests in minutes. Foundational tests (e.g. We support foundational tests (e.g. row counts, freshness and schema drift), more complicated tests (distribution shifts, nullness shiftings, enum modifications), custom SQL, as well as everything in between. Manual thresholds can take a while to set and quickly become outdated as your data changes. Our anomaly detection algorithms use historical metadata to detect outliers. To minimize alert fatigue, monitor what is important, while also taking into account seasonality, trends and feedback from your team. You can also override manual thresholds.

Create analyses effortlessly using data from your own database, regardless of your familiarity with SQL. Leveraging native data connections makes it ten times simpler to generate and automate various analyses, from cohort studies to funnel assessments and presentations for board meetings. Investors and future employees alike will want to understand the origins and methodologies behind these analyses, so it's crucial to always present your findings transparently. Equip your less technical colleagues with the ability to execute complex SQL queries and utilize import scripts effectively. When updates occur, ensure any workbook utilizing a saved query reflects those changes seamlessly. Avoid the redundancy of extracting the same data in multiple formats, especially as the landscape of data and dashboarding tools continues to expand. Despite the plethora of options available, we often find ourselves returning to spreadsheets, the only tool that offers unparalleled flexibility to cater to the unique needs of your organization. There is truly no substitute; spreadsheets serve as an interactive canvas where you can manipulate and engage with data, enabling the creation of intricate and evolving analyses. Their versatility allows for a deeper exploration of data, fostering innovative insights and solutions that can drive your business forward.

Chaos Genius serves as a DataOps Observability platform specifically designed for Snowflake, allowing users to enhance their Snowflake Observability, thereby minimizing costs and improving query efficiency. By leveraging this platform, organizations can gain deeper insights into their data operations and make more informed decisions.

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

All-in-one platform to connect your APIs and services in the most efficient way. Allow busy developers to create complex integrations that no-code tools can't solve. JavaScript is a powerful tool that allows you to create more code in a shorter time. Audit code changes, audit credentials creation, use, and check execution logs. Open data streams, transactions and caches, errors management, logging support, multiple environments support, and reused functions can all be used. Execute tasks on demand, using a schedule approach or a webhook. Integration in your systems infrastructure is as easy as possible in a matter of minutes. JS modules allow you to reuse your business logic. They include a friendly editor, powerful integrations and libraries, as well as a friendly source code editor. Kubernetes can be deployed on-premise. External identity providers and enhanced auditing and logging. You can write your scripts from a web browser and then run them in the YepCode cloud.

Amigo is an incredibly efficient solution designed to link your data seamlessly with Google Sheets, streamlining the process of data reporting through automation. With a single click, you can access your sales and marketing metrics in real-time and initiate data imports without requiring any programming skills. Utilizing Amigo not only helps you save countless hours typically spent on manual data exports, but it also enhances the precision of your information. You have the flexibility to tailor your data imports according to your unique requirements, consolidating information from various sources into one cohesive sheet. Furthermore, Amigo features a collaborative workspace that enables you to merge data from platforms such as Facebook Ads, Google Ads, Shopify, MySQL, and others into Google Sheets, while also allowing for easy report sharing via Inbox and Slack. This facilitates teamwork and data importation using a shared connection, simplifying the management of user permissions and roles. You can automate your data imports to refresh at scheduled intervals, empowering you to make informed decisions based on up-to-date metrics. This functionality not only minimizes the tedious aspects of reporting but also enhances overall communication efficiency within your team. Additionally, Amigo's user-friendly interface ensures that anyone can utilize its features to optimize their data management processes.

The Stripe Data Pipeline efficiently transfers your current Stripe data and reports to either Snowflake or Amazon Redshift with just a few clicks. By consolidating your Stripe data alongside other business information, you can expedite your accounting processes and achieve deeper insights into your operations. Setting up the Stripe Data Pipeline takes only a few minutes, after which your Stripe data and reports will be automatically sent to your data warehouse regularly—no coding skills are necessary. This creates a unified source of truth, enhancing the speed of your financial closing while providing improved analytical capabilities. You can easily pinpoint your top-performing payment methods and investigate fraud patterns based on location, among other analyses. The pipeline allows you to send your Stripe data straight to your data warehouse, eliminating the need for a third-party extract, transform, and load (ETL) process. Additionally, you can relieve yourself of the burden of ongoing maintenance with a pipeline that is inherently integrated with Stripe. Regardless of the volume of data, you can trust that it will remain complete and accurate. This automation of data delivery at scale helps in reducing security vulnerabilities and prevents potential data outages and delays, ensuring smooth operations. Ultimately, this solution empowers businesses to leverage their data more effectively and make informed decisions swiftly.

We developed Stripe Sigma to assist businesses in efficiently analyzing their Stripe data, allowing teams to gain quicker insights into their operations. You can utilize pre-existing SQL queries or create your own custom queries directly within the Stripe dashboard, eliminating the need for data engineering expertise. With organized access to your data, it becomes straightforward to pinpoint customers at risk of churning, identify regions that generate the highest revenue, and much more. You can quickly get answers to any questions related to your Stripe data whenever you need them. Additionally, reports can be set up to generate automatically on a daily, weekly, or monthly basis, helping you stay organized. Enhance your workflow by saving frequently used queries for rapid access. Furthermore, you can share your queries with other teams right within Sigma or export them as CSV files. Stripe Sigma is utilized by business teams to streamline operations, finance teams to expedite financial closures, data teams for in-depth analysis of metrics like ARPU and churn, and product management to discover new business opportunities. This multifaceted tool is designed to cater to various needs, making it an invaluable asset for any organization.

A low-code, no-code strategy enhances data quality management. This software-as-a-service (SaaS) model offers flexibility, cost-effectiveness, seamless integration, and robust support options. It maintains rigorous standards for encryption, identity management, role-based access control, data governance, and compliance. Utilizing advanced machine learning algorithms, it identifies anomalies in row-value data, with the capability to evolve alongside the unique requirements of users' businesses and datasets. Users can incorporate numerous data sources, records, and attributes effortlessly, making the platform resilient to unexpected increases in data volume. It accommodates both batch and streaming processing, ensuring that data is consistently monitored to provide real-time alerts without affecting pipeline performance. The platform offers a smooth onboarding, integration, and investigation process, making it accessible to data teams aiming to proactively spot and analyze anomalies as they arise. With a no-code onboarding process, users can simply connect to their data sources and set their alerting preferences. Telmai intelligently adapts to data patterns, notifying users of any significant changes, ensuring that they remain informed and prepared for any data fluctuations.

PrivacyCenter.cloud offers a comprehensive platform designed to allow users to establish a complete privacy center swiftly, thereby automating essential privacy operations. Additionally, this tool assists in overseeing various aspects such as privacy notices, third-party cookie consents, user preferences, requests related to individual rights, as well as managing settings for Do Not Sell and Do Not Track signals. By streamlining these processes, it empowers organizations to enhance their compliance and transparency regarding user privacy.

Traditional cloud data security solutions often struggle to keep pace with growing needs. In contrast, Trustle enables you to efficiently manage access to numerous data sources on an individual basis, providing a comprehensive overview of all interconnected systems through an intuitive SaaS platform. This means that each employee can receive the access they require, precisely when they need it, and only for the duration necessary. Cultivating positive team dynamics is essential for enhancing an employer's value proposition. By strengthening your employer brand, you can foster robust team unity throughout the organization. Developers, citizen developers, teams, and organizations will notice a remarkable improvement in their daily operations. Trustle stands out as an innovative SaaS solution, allowing you to begin addressing access vulnerabilities within minutes while also establishing a cohesive data strategy for your business in just days. With Trustle, you can ensure that your data security scales seamlessly alongside your growing enterprise needs.

Speeding up the process of gaining insights and removing obstacles for data analysts is crucial. With the help of intelligent automation in the data stack, you can extract insights from your data much faster—up to ten times quicker—thanks to AI innovations. Originally developed at Stanford's AI lab, this cutting-edge intelligence for today’s data stack is now accessible for your organization. You can leverage natural language to derive value from your disorganized, intricate, and isolated data within just minutes. Simply instruct your data on what you want to achieve, and it will promptly produce the necessary code for execution. This automation is highly customizable, tailored to the unique complexities of your organization rather than relying on generic templates. It empowers individuals to securely automate data-heavy workflows on the modern data stack, alleviating the burden on data engineers from a never-ending queue of requests. Experience the ability to reach insights in mere minutes instead of waiting months, with solutions that are specifically crafted and optimized for your organization’s requirements. Moreover, it integrates seamlessly with various upstream and downstream tools such as Snowflake, Databricks, Redshift, and BigQuery, all while being built on dbt, ensuring a comprehensive approach to data management. This innovative solution not only enhances efficiency but also promotes a culture of data-driven decision-making across all levels of your enterprise.

As data undergoes reconstruction for cloud environments, the concept of identity has evolved, now encompassing not just individuals but also service accounts and principals. In this context, authorization emerges as the most genuine representation of identity. The complexities of a multi-cloud landscape necessitate an innovative and adaptable strategy to safeguard enterprise data effectively. Veza stands out by providing a holistic perspective on authorization throughout the entire identity-to-data spectrum. It operates as a cloud-native, agentless solution, ensuring that your data remains safe and accessible without introducing any additional risks. With Veza, managing authorization within your comprehensive cloud ecosystem becomes a streamlined process, empowering users to share data securely. Additionally, Veza is designed to support essential systems from the outset, including unstructured and structured data systems, data lakes, cloud IAM, and applications, while also allowing the integration of custom applications through its Open Authorization API. This flexibility not only enhances security but also fosters a collaborative environment where data can be shared efficiently across different platforms.

Streamlined data management can enhance your business's efficiency. Quickly connect, transform, and visualize your data in a scalable manner. Kleene simplifies the process of accessing data from your SaaS applications. After extraction, the data is securely stored and meticulously organized within a cloud data warehouse. This ensures that the data is cleaned and prepared for thorough analysis. User-friendly dashboards empower you to uncover insights and make informed, data-driven decisions that propel your growth. Say goodbye to the time-consuming process of creating data pipelines from scratch. With over 150 pre-built data connectors at your disposal, and the option for on-demand custom connector creation, you can always work with the latest data. Setting up your data warehouse takes just minutes, requiring no engineering skills. Our unique transformation tools speed up the building of your data models, while our exceptional data pipeline observability and management capabilities offer you unparalleled control. Take advantage of Kleene’s top-notch dashboard templates and enhance your visualizations with our extensive industry knowledge to drive your business forward even further.

Akkio empowers enterprise clients to uncover trends, assess impactful elements, and seamlessly generate predictions utilizing their real-time data. Effortlessly incorporate your data to create actionable forecasts. Delve into your data, identify trends, collaborate with your team, and evaluate performance metrics such as accuracy, seasonality, and key influencers. Enhance the efficiency of every aspect of your growth operations. Accelerate your scaling efforts by harnessing your current data to anticipate crucial business results. There are numerous ways to harness AI's capabilities effectively. For instance, prioritize your marketing leads based on their likelihood of conversion, allowing you to concentrate on those with the highest potential for revenue generation. Additionally, utilize AI to forecast revenue, prices of components and commodities, and overall market growth for your organization. Another vital application is predicting which customers may be at risk of leaving, enabling you to proactively address churn before it occurs. By leveraging these insights, businesses can create targeted strategies for retention and growth.

DataLakeHouse.io Data Sync allows users to replicate and synchronize data from operational systems (on-premises and cloud-based SaaS), into destinations of their choice, primarily Cloud Data Warehouses. DLH.io is a tool for marketing teams, but also for any data team in any size organization. It enables business cases to build single source of truth data repositories such as dimensional warehouses, data vaults 2.0, and machine learning workloads. Use cases include technical and functional examples, including: ELT and ETL, Data Warehouses, Pipelines, Analytics, AI & Machine Learning and Data, Marketing and Sales, Retail and FinTech, Restaurants, Manufacturing, Public Sector and more. DataLakeHouse.io has a mission: to orchestrate the data of every organization, especially those who wish to become data-driven or continue their data-driven strategy journey. DataLakeHouse.io, aka DLH.io, allows hundreds of companies manage their cloud data warehousing solutions.