Snowflake Integrations

Grafbase is a powerful GraphQL platform tailored for developers seeking to construct, consolidate, and oversee APIs by integrating various data sources into a cohesive federated API layer. Serving as a gateway for GraphQL federation, it brings together services like databases, microservices, REST APIs, and external systems into a singular, efficient endpoint that applications can query. This platform empowers developers to create a federated graph from a variety of independent subgraphs, enabling different teams or services to progress autonomously while still delivering a unified API experience to clients. Additionally, Grafbase features a schema registry and governance tools that facilitate the management of schema modifications, conduct checks to identify breaking changes, and allow for collaborative schema proposals prior to deployment. Furthermore, it offers robust analytics, observability, and performance monitoring capabilities that not only track API usage but also assist teams in fine-tuning their data infrastructure for optimal performance. Ultimately, Grafbase's multifaceted approach makes it an invaluable asset for teams aiming to streamline their API development processes.

Morf Health serves as an advanced, AI-driven platform focused on automating workflows and enhancing patient engagement for healthcare providers, facilitating improved operational efficiency, data synchronization, and tailored communication with patients on a large scale. It functions as a vital integration hub, linking various existing tools like electronic health records (EHRs), appointment scheduling systems, billing software, and customer relationship management (CRM) systems, ensuring that patient information is shared fluidly while providing a single, reliable source of information. By streamlining essential processes such as patient onboarding, eligibility verification, appointment management, reminders, follow-ups, and billing alerts, Morf significantly reduces the burden of manual administrative tasks. The platform employs a system of triggers and actions to automate these processes, such as generating patient records or dispatching reminders when necessary forms remain unsubmitted, thereby eliminating the need for manual input or technical expertise. This innovation not only enhances the efficiency of healthcare practices but also improves patient satisfaction by ensuring timely and accurate communication throughout their care journey.

Matia serves as a comprehensive DataOps platform aimed at streamlining contemporary data management by merging essential functions into a cohesive system. By integrating ETL, reverse ETL, data observability, and a data catalog, it removes the reliance on various isolated tools, thereby simplifying the challenges associated with managing disjointed data environments. This platform empowers teams to efficiently and reliably transfer data from diverse sources into data warehouses, utilizing sophisticated ingestion features that include real-time updates and effective error management. Furthermore, it facilitates the return of dependable data to operational tools for practical business applications. Matia prioritizes inherent observability throughout the data pipeline, offering capabilities such as monitoring, anomaly detection, and automated quality assessments to maintain data integrity and reliability, ultimately preventing potential issues from affecting downstream processes. As a result, organizations can achieve a more streamlined workflow and enhanced data utilization across their operations.

Astrato Analytics is a modern, warehouse-native business intelligence platform designed to help organizations create, embed, and share interactive dashboards and data-driven applications. It connects directly to leading cloud data warehouses such as Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, and Dremio. By leveraging a zero-copy architecture, Astrato enables users to access and analyze data in real time without moving or duplicating it. Its live-query engine ensures that every dashboard and report reflects the most current data available. This eliminates the need for complex ETL processes or maintaining cached data layers. The platform also reduces operational overhead by simplifying data workflows and infrastructure requirements. Security is seamlessly managed, as Astrato inherits governance policies like row-level security and PII masking from the underlying data warehouse. This ensures compliance while minimizing manual configuration for IT teams. Users can build highly interactive and customizable analytics experiences directly on top of their existing data stack. The platform is designed to improve collaboration and data accessibility across teams. Overall, Astrato Analytics delivers a streamlined, real-time approach to business intelligence with strong performance and governance.

TierZero Production Agents actively monitor incidents, manage alerts, and autonomously resolve production issues, enabling your engineering teams to release updates more swiftly. When an incident occurs, TierZero immediately engages, conducting a thorough investigation that spans your entire stack, including logs, traces, metrics, deployments, code alterations, and historical incidents. Unlike conventional AI SRE tools that merely handle triage, Production Agents encompass the entire post-merge process, which includes investigation, remediation, support Q&A, and proactive discovery. The Context Engine from TierZero integrates signals from code, infrastructure, discussions, and documentation into a dynamic knowledge graph that evolves and improves with each resolved issue. Installation within your environment can be accomplished in less than an hour, and every AI-driven investigation is fully auditable. This solution is specifically designed for highly regulated industries, such as fintech, healthcare, and cryptocurrency, where maintaining security is imperative. Furthermore, with its continuous learning capabilities, TierZero not only addresses current incidents but also anticipates potential future challenges.

AccessOwl serves as a comprehensive tool for Access Governance and SaaS management, streamlining the process of managing employee access to various SaaS applications throughout their tenure, from onboarding to offboarding. Acting as the primary platform for overseeing SaaS access, it removes the confusion about who is responsible for specific tools and what approvals are necessary, while meticulously logging every application, user access, and the permissions utilized within the organization. By automating the processes of user account creation, access requests, approvals, and audits, along with detecting Shadow IT, AccessOwl enables teams to move away from spreadsheets and establish a reliable source of truth, significantly minimizing the chances of overlooking offboarding tasks. Furthermore, its integration with Slack allows employees to conveniently request access in the environment they already use, and HRIS integrations automate the onboarding and offboarding processes while keeping employee information such as job title, department, and manager up to date. Notably, AccessOwl has the capability to provision and revoke user access across a multitude of SaaS applications without the necessity for SCIM or SAML, ensuring flexibility and ease of use for organizations. This allows for a more efficient management of software access, ultimately enhancing security and compliance efforts.

Tray.ai serves as an API integration platform that empowers users to innovate, integrate, and automate their organizations without the need for developer expertise. With Tray.io, users can independently connect their entire cloud ecosystem. The platform features an intuitive visual workflow editor that makes it simple for users to construct and optimize processes. Additionally, Tray.io enhances the workforce's efficiency through automation of various tasks. At the core of the first iPaaS designed for universal accessibility is the intelligence that allows users to execute business processes through natural language commands. Tray.ai is a low-code automation solution tailored for both technical and non-technical users, enabling the creation of complex workflow automations that streamline data transfer and actions across diverse applications. By leveraging our low-code builder and the innovative Merlin AI, users can revolutionize their automation journey, combining the flexibility of scalable automation with advanced business logic and integrated generative AI features that are user-friendly and accessible to all. This makes Tray.ai an invaluable tool for organizations aiming to enhance operational efficiency.

Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.

Gain insights into user interactions with your product and pinpoint areas of opportunity to guide your product strategy. Mode enables a single Stitch analyst to accomplish what typically requires an entire data team by offering rapid, adaptable, and collaborative tools. Create dashboards that track annual revenue and utilize chart visualizations to quickly spot anomalies. Develop well-crafted reports suitable for investors or facilitate collaboration by sharing your analyses with different teams. Integrate your complete technology ecosystem with Mode to uncover upstream problems and enhance overall performance. Accelerate cross-team workflows using APIs and webhooks. By analyzing user engagement, you can discover opportunity areas that help refine your product decisions. Additionally, utilize insights from marketing and product data to address vulnerabilities in your sales funnel, optimize landing-page efficiency, and anticipate churn before it occurs, ensuring proactive measures are in place.

Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.

USEReady is a data, analytics, and AI solutions firm headquartered in New York. With over a decade of experience, USEReady helps organizations transform data into actionable insights and achieve business goals. The company offers migration automation tools like STORM and MigratorIQ, along with Pixel Perfect for enhanced enterprise reporting. Plus, its two practices viz., Data Value, which focuses on modern data architectures and BI & AI initiatives, and Decision Intelligence, which empowers informed decisions and drives business outcomes through AI lend further credence to its focus on data-driven transformation. With a global team of 450+ experts and offices in the U.S., Canada, India, and Singapore, USEReady has served over 300 customers, including Fortune 500 companies across various industries. The company partners with industry leaders like Tableau, Salesforce, Snowflake, Starburst, and AWS, and has received multiple awards, including Tableau Partner of the Year.

Your modern data warehouse can be used to drive customer engagement and cross channel marketing. This opens up new opportunities for personalized, timely, and relevant messaging that produces real results. You should use all data, not just the ones you've copied to your cloud marketing. Reduce wasteful spending and send more messages across channels. MessageGears stores your data in the same format it is in, so you can get a full suite enterprise marketing tools at a fraction of the cost of a traditional marketing cloud. Segment by MessageGears combines the power and ease of a drag-and-drop segment creator with a segmentation engine that is as fast as your data warehouse. MessageGears Message lets you use any data available in any format to personalize messages for each customer at a scale other email marketing services can't.

Nucleon Database Master is a contemporary and robust software tool designed for database querying, administration, and management, featuring a user-friendly interface that is both modern and consistent. It streamlines the tasks of managing, monitoring, querying, editing, visualizing, and designing both relational and NoSQL databases. Additionally, Database Master supports the execution of advanced SQL, JQL, and C# (Linq) query scripts, while also offering access to a comprehensive array of database objects, including tables, views, procedures, packages, columns, indexes, relationships (constraints), collections, triggers, and various other entities within the database ecosystem. This powerful software helps users enhance their productivity and efficiency in database management tasks.

The ActionIQ Customer Data Platform empowers organizations to synchronize their personnel, technology, and procedures to create outstanding customer interactions at every point of engagement. To distinguish genuine CDPs from mere impostors, access ActionIQ's comprehensive guide, which will help you avoid months of tedious research and uncover the realities of the complex CDP market. In the current experience-driven economy, consumers anticipate that brands will recognize them and consistently provide authentic, valuable interactions. The ActionIQ CDP is designed to help large enterprises tackle persistent issues of customer data fragmentation, equipping them with the insights necessary to coordinate experiences seamlessly across all brand interactions. By developing an interconnected “smart hub” that consolidates data, organizations can empower their teams with immediate insights. This deep understanding of customers facilitates the delivery of trustworthy and profitable experiences at scale, ultimately enhancing brand loyalty and customer satisfaction. Moreover, embracing such a platform can significantly enhance your organization’s ability to respond to evolving customer needs swiftly and effectively.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

mParticle is the most popular Customer Data Platform (CDP), for multi-channel consumer brands. Overstock, Venmo and Spotify use mParticle to build a unified customer data pipeline that allows them to win at key moments in the customer journey. Founded in 2013, mParticle has offices in New York City, London, San Francisco, San Francisco, and Seattle.

BDB is an advanced platform for data analytics and business intelligence that excels in extracting valuable insights from your data. It can be implemented both in cloud environments and on-premises. With a unique microservices architecture, it incorporates components for Data Preparation, Predictive Analytics, Pipelines, and Dashboard design, enabling tailored solutions and scalable analytics across various sectors. Thanks to its robust NLP-driven search functionality, users can harness the potential of data seamlessly across desktops, tablets, and mobile devices. BDB offers numerous integrated data connectors, allowing it to interface with a wide array of popular data sources, applications, third-party APIs, IoT devices, and social media platforms in real-time. It facilitates connections to relational databases, big data systems, FTP/SFTP servers, flat files, and web services, effectively managing structured, semi-structured, and unstructured data. Embark on your path to cutting-edge analytics today, and discover the transformative power of BDB for your organization.

Mage Sensitive Data Discovery module can help you uncover hidden data locations in your company. You can find data hidden in any type of data store, whether it is structured, unstructured or Big Data. Natural Language Processing and Artificial Intelligence can be used to find data in the most difficult of places. A patented approach to data discovery ensures efficient identification of sensitive data and minimal false positives. You can add data classifications to your existing 70+ data classifications that cover all popular PII/PHI data. A simplified discovery process allows you to schedule sample, full, and even incremental scans.

Azquo represents a revolutionary advancement in Business Intelligence, designed to conserve both time and resources by merging processing, calculation, and analytics into one cohesive platform that integrates effortlessly with Excel. Featuring its distinctive Smart Data Store, it functions as a virtual ‘Satellite Data Warehouse,’ linking to all internal and external data sources without disrupting existing systems. The platform's control and reporting interface is based in Excel, allowing Line of Business Analysts to easily extract necessary information while ensuring complete transparency for their Data Scientist counterparts in the I.T. department. Azquo® introduces a fresh perspective on Business Intelligence, transforming the way data is stored, labeled, and utilized by computers. No other reporting system can match the adaptable efficiencies that Azquo offers. Instead of labeling it merely as a database, we emphasize that it lacks the dimensionality typically associated with traditional databases, highlighting its unique approach to data management. This innovative design fundamentally changes how businesses interact with their data, ultimately enhancing decision-making processes across the organization.

Instead of trying to master a new software tool, leverage the spreadsheet functions and formulas that you're already familiar with, such as COUNTIF() and SUMIF(). You can seamlessly connect two tables without using SQL by utilizing our LOOKUP() function. Enhance your analytical capabilities by creating pivot tables from your company’s data. Save yourself the hassle of manually updating or reconstructing reports, and instead take advantage of automatically refreshed data. Uncover trends in your data over time, make comparisons, and gain quick insights by incorporating line, stacked, or pie charts into your reports. Additionally, delve into our popular templates to design dashboards that integrate data from various other platforms, allowing for a more comprehensive view of your information. This way, you can maximize the utility of your existing skills while creating more visually appealing and informative presentations.

Automated commission tracking to ensure teams are productive and aligned. We believe hard work should be recognized and that there is a better way. All your data sources can be connected under one roof to enable real-time calculations every time. To get the best out of every team, you can build, preview, and launch a commission plan. To ensure everyone is motivated and aligned, share customized reports that are easy to understand. To run accurate, fast calculations, connect your data sources directly to our system. Automatically sync commission data across all teams to generate reliable calculations in real-time. Integrate your data source directly into our Commission system to save time each month in cleaning and collecting data. To provide reliable and accurate commission statements, run monthly commission calculations using the exact same data source each month. You don't need to manually enter data or make updates.

Trifacta offers an efficient solution for preparing data and constructing data pipelines in the cloud. By leveraging visual and intelligent assistance, it enables users to expedite data preparation, leading to quicker insights. Data analytics projects can falter due to poor data quality; therefore, Trifacta equips you with the tools to comprehend and refine your data swiftly and accurately. It empowers users to harness the full potential of their data without the need for coding expertise. Traditional manual data preparation methods can be tedious and lack scalability, but with Trifacta, you can create, implement, and maintain self-service data pipelines in mere minutes instead of months, revolutionizing your data workflow. This ensures that your analytics projects are not only successful but also sustainable over time.

Sigma is a cloud-based business intelligence (BI), and analytics application. Sigma is trusted by data-first businesses. It provides live access to cloud data warehouses via an intuitive spreadsheet interface. This allows business experts to get more information about their data without having to write a single line code. Business users can access their data in real-time using the cloud's full power and familiar interface. Sigma is self-service analytics at its best.

BryteFlow creates remarkably efficient automated analytics environments that redefine data processing. By transforming Amazon S3 into a powerful analytics platform, it skillfully utilizes the AWS ecosystem to provide rapid data delivery. It works seamlessly alongside AWS Lake Formation and automates the Modern Data Architecture, enhancing both performance and productivity. Users can achieve full automation in data ingestion effortlessly through BryteFlow Ingest’s intuitive point-and-click interface, while BryteFlow XL Ingest is particularly effective for the initial ingestion of very large datasets, all without the need for any coding. Moreover, BryteFlow Blend allows users to integrate and transform data from diverse sources such as Oracle, SQL Server, Salesforce, and SAP, preparing it for advanced analytics and machine learning applications. With BryteFlow TruData, the reconciliation process between the source and destination data occurs continuously or at a user-defined frequency, ensuring data integrity. If any discrepancies or missing information arise, users receive timely alerts, enabling them to address issues swiftly, thus maintaining a smooth data flow. This comprehensive suite of tools ensures that businesses can operate with confidence in their data's accuracy and accessibility.

Amazon AppFlow is a comprehensive integration service that allows for the secure transfer of data between various Software-as-a-Service (SaaS) applications, such as Salesforce, Marketo, Slack, and ServiceNow, along with AWS services like Amazon S3 and Amazon Redshift, all with just a few clicks. It facilitates the execution of data flows at virtually any scale, allowing users to determine the frequency of these operations—whether on a set schedule, triggered by a business event, or initiated on demand. AppFlow also offers data transformation features like filtering and validation, enabling users to create rich, ready-to-use datasets as part of the flow without the need for extra steps. Furthermore, it ensures that data is automatically encrypted during transit, and it provides options for users to prevent data from traversing the public internet when using SaaS applications integrated with AWS PrivateLink, thereby minimizing the risk of security vulnerabilities. By default, any data transfers involving SaaS integrations that utilize AWS PrivateLink are protected from exposure to the public internet, enhancing overall data security. This level of integration not only simplifies the process but also boosts confidence in managing sensitive information securely.

Syntasa introduces a revolutionary web application designed specifically for digital experts, allowing teams to seamlessly integrate first-party behavioral data with enterprise information. This self-service platform empowers users to create and implement tailored models, operate within a private cloud environment, and engage across multiple channels, enhancing the overall digital experience. With its user-friendly interface, Syntasa makes it easier than ever for digital professionals to harness the power of their data.

Uncover, categorize, and safeguard your sensitive information with Nightfall™, which leverages machine learning technology to detect essential business data, such as customer Personally Identifiable Information (PII), across your SaaS platforms, APIs, and data systems, enabling effective management and protection. With the ability to integrate quickly through APIs, you can monitor your data effortlessly without the need for agents. Nightfall’s machine learning capabilities ensure precise classification of sensitive data and PII, ensuring comprehensive coverage. You can set up automated processes for actions like quarantining, deleting, and alerting, which enhances efficiency and bolsters your business’s security. Nightfall seamlessly connects with all your SaaS applications and data infrastructure. Begin utilizing Nightfall’s APIs for free to achieve sensitive data classification and protection. Through the REST API, you can retrieve organized results from Nightfall’s advanced deep learning detectors, identifying elements such as credit card numbers and API keys, all with minimal coding. This allows for a smooth integration of data classification into your applications and workflows utilizing Nightfall's REST API, setting a foundation for robust data governance. By employing Nightfall, you not only protect your data but also empower your organization with enhanced compliance capabilities.

Kraken caters to a wide range of users, from analysts to data scientists, by providing a user-friendly, no-code automated machine learning platform. It is designed to streamline and automate various data science processes, including data preparation, cleaning, algorithm selection, model training, and deployment. With a focus on making these tasks accessible, Kraken is particularly beneficial for analysts and engineers who may have some experience in data analysis. The platform’s intuitive, no-code interface and integrated SONAR© training empower users to evolve into citizen data scientists effortlessly. For data scientists, advanced functionalities enhance productivity and efficiency. Whether your routine involves using Excel or flat files for reporting or conducting ad-hoc analysis, Kraken simplifies the model-building process with features like drag-and-drop CSV uploads and an Amazon S3 connector. Additionally, the Data Connectors in Kraken enable seamless integration with various data warehouses, business intelligence tools, and cloud storage solutions, ensuring that users can work with their preferred data sources effortlessly. This versatility makes Kraken an indispensable tool for anyone looking to leverage machine learning without requiring extensive coding knowledge.

The fastest way to integrate APIs, and run code. Pipedream is a serverless computing platform and integration platform that makes it easy for developers to create event-driven workflows and connect apps. Any API can be turned into an event stream by creating event sources. You can create event sources to listen for tweets, Github events or Airtable records. You can inspect events in a human-friendly manner, trigger Node.js workflows for every event, and consume events in your app via API. Node.js code steps are used to create workflows that run on every event. You can write your own Node.js and use any npm packages. Or you can reuse actions that scaffold popular APIs. You can trigger via sources, a custom URL, email address or SDK code, or a schedule. Connect to Auth apps once and they will continue to work in your workflow. Pipedream supports OAuth, key-based auth and handles token refresh and OAuth flow for you. Simply link accounts to steps, and include the appropriate auth information in code.

IBM watsonx.data integration is an enterprise data integration platform built to help organizations deliver trusted, AI-ready data across complex environments. The solution provides a unified control plane that allows data engineers and analysts to integrate structured and unstructured data from multiple sources while managing pipelines from a single interface. Watsonx.data integration supports multiple integration styles including batch processing, real-time streaming, and data replication, enabling businesses to move and transform data based on their operational needs. The platform includes no-code, low-code, and pro-code interfaces that allow users of varying skill levels to design and manage pipelines. Built-in AI assistants enable natural language interactions, helping teams accelerate pipeline development and simplify complex tasks. Continuous pipeline monitoring and observability tools help teams identify and resolve data issues before they impact downstream systems. With support for hybrid and multi-cloud environments, watsonx.data integration allows organizations to process data wherever it resides while minimizing costly data movement. By simplifying pipeline design and supporting modern data architectures, the platform helps enterprises prepare high-quality data for analytics, AI, and machine learning workloads.

Molecula serves as an enterprise feature store that streamlines, enhances, and manages big data access to facilitate large-scale analytics and artificial intelligence. By consistently extracting features, minimizing data dimensionality at the source, and channeling real-time feature updates into a centralized repository, it allows for millisecond-level queries, computations, and feature re-utilization across various formats and locations without the need to duplicate or transfer raw data. This feature store grants data engineers, scientists, and application developers a unified access point, enabling them to transition from merely reporting and interpreting human-scale data to actively forecasting and recommending immediate business outcomes using comprehensive data sets. Organizations often incur substantial costs when preparing, consolidating, and creating multiple copies of their data for different projects, which delays their decision-making processes. Molecula introduces a groundbreaking approach for continuous, real-time data analysis that can be leveraged for all mission-critical applications, dramatically improving efficiency and effectiveness in data utilization. This transformation empowers businesses to make informed decisions swiftly and accurately, ensuring they remain competitive in an ever-evolving landscape.

Hyperproof automates repetitive compliance operations so your team can concentrate on the bigger issues. Hyperproof also has powerful collaboration features that make it simple for your team to coordinate their efforts, gather evidence, and work directly alongside auditors from one interface. There is no more uncertainty in audit preparation or compliance management. Hyperproof gives you a complete view of your compliance programs, including progress tracking, program monitoring, and risk management.

Tokern offers an open-source suite designed for data governance, specifically tailored for databases and data lakes. This user-friendly toolkit facilitates the collection, organization, and analysis of metadata from data lakes, allowing users to execute quick tasks via a command-line application or run it as a service for ongoing metadata collection. Users can delve into aspects like data lineage, access controls, and personally identifiable information (PII) datasets, utilizing reporting dashboards or Jupyter notebooks for programmatic analysis. As a comprehensive solution, Tokern aims to enhance your data's return on investment, ensure compliance with regulations such as HIPAA, CCPA, and GDPR, and safeguard sensitive information against insider threats seamlessly. It provides centralized management for metadata related to users, datasets, and jobs, which supports various other data governance functionalities. With the capability to track Column Level Data Lineage for platforms like Snowflake, AWS Redshift, and BigQuery, users can construct lineage from query histories or ETL scripts. Additionally, lineage exploration can be achieved through interactive graphs or programmatically via APIs or SDKs, offering a versatile approach to understanding data flow. Overall, Tokern empowers organizations to maintain robust data governance while navigating complex regulatory landscapes.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

Power Query provides a user-friendly solution for connecting, extracting, transforming, and loading data from a variety of sources. Acting as a robust engine for data preparation and transformation, Power Query features a graphical interface that simplifies the data retrieval process and includes a Power Query Editor for implementing necessary changes. The versatility of the engine allows it to be integrated across numerous products and services, meaning the storage location of the data is determined by the specific application of Power Query. This tool enables users to efficiently carry out the extract, transform, and load (ETL) processes for their data needs. With Microsoft’s Data Connectivity and Data Preparation technology, users can easily access and manipulate data from hundreds of sources in a straightforward, no-code environment. Power Query is equipped with support for a multitude of data sources through built-in connectors, generic interfaces like REST APIs, ODBC, OLE, DB, and OData, and even offers a Power Query SDK for creating custom connectors tailored to individual requirements. This flexibility makes Power Query an indispensable asset for data professionals seeking to streamline their workflows.

Matik automates the creation of presentations, documents, and reports directly from your data, powered by AI you can trust. Anyone can instantly generate insights, align messaging, and scale best practices for faster data-driven storytelling that sparks action.

The evolving landscape of workforce management presents new challenges that require innovative solutions. Traditional methods like manual spreadsheets and outdated software are no longer sufficient to meet contemporary demands. Enter the Legion WFM platform, an AI-driven and cloud-based solution that offers an advanced and user-friendly experience that employees appreciate. By modernizing the way employees interact with management tools, Legion WFM enhances workforce optimization. Utilizing machine learning technology, it generates highly precise demand predictions that ensure ideal staffing levels; its automated labor forecasts boast an impressive 98% accuracy rate. The platform forecasts business demand through various metrics, such as revenue, transaction counts, and customer foot traffic, incorporating your specific labor model and staffing guidelines. With fully-automated forecasts that continuously adapt and learn from vast amounts of data, Legion WFM not only boosts employee satisfaction but also aids in attracting and retaining customers. By enhancing workforce productivity and engaging staff with its intuitive tools, Legion WFM automates labor management, allowing you to concentrate on providing exceptional service to your clientele. Ultimately, choosing Legion WFM empowers businesses to thrive in a competitive environment.

Conversations that lack context and grounded knowledge are nothing more than chatter. Intelligent conversations are focused on context, domain, and subject knowledge. ConverSight.ai's conversational AI platform creates and aggregates knowledge graphs to provide smart, automated, and actionable insights. Athena, ConverSight.ai’s AI assistant, is able to understand user behavior, context, and intent using machine learning, advanced analytics, and a user-friendly interface to deliver personalized insights, and actions. An AI platform that can understand user behavior, context, and intent. Machine learning, data science, cognitive techniques and machine learning are used to provide personalized insights, monitor data, and facilitate collaboration with extraordinary speed. ConverSight.ai's mission is to humanize computer systems' interaction with their users. Smart solutions that think and speak are what we offer.

Quickly prepare data to provide trusted insights across the organization. Business analysts and data scientists spend too much time cleaning out data rather than analyzing it. Talend Data Preparation is a self-service, browser-based tool that allows you to quickly identify errors and create rules that can be reused and shared across large data sets. With our intuitive user interface and self-service data preparation/curation functionality, anyone can perform data profiling, cleansing, enriching and enrichment in real time. Users can share prepared datasets and curated data, and embed data preparations in batch, bulk, or live data integration scenarios. Talend allows you to transform ad-hoc analysis and data enrichment jobs into fully managed, reusable process. You can use any data source, including Teradata and AWS, Salesforce and Marketo, to operationalize data preparation. Always using the most recent datasets. Talend Data Preparation gives you control over data governance.

Transform your approach to customer insights with Inte Q's Genesis Customer Engagement Platform, which utilizes existing data to foster smart decision-making through consolidated profiles and advanced segmentation features. By integrating various data sources, you can gain a more profound understanding of your customers, ultimately enhancing your return on investment through a cohesive perspective of each individual. Continuous monitoring of data quality through real-time health dashboards not only identifies areas for improvement but also reveals opportunities to enhance response rates and refine personalized communications. The platform's pre-built connectors provide an efficient and economical solution for merging data from a multitude of origins. Additionally, you can create comprehensive customer profiles from diverse data streams and activate specific customer segments without needing extensive IT assistance. With the intuitive Segment Builder, you can quickly craft custom segments using simple point-and-click functionality, eliminating the need for any coding expertise, thus making data management more accessible than ever. This innovative approach enables businesses to respond swiftly to evolving customer needs and preferences.

Securonix Unified Defense SIEM is an advanced security operations platform that integrates log management, user and entity behavior analytics (UEBA), and security incident response, all driven by big data. It captures vast amounts of data in real-time and employs patented machine learning techniques to uncover sophisticated threats while offering AI-enhanced incident response for swift remediation. This platform streamlines security operations, minimizes alert fatigue, and effectively detects threats both within and outside the organization. By providing an analytics-centric approach to SIEM, SOAR, and NTA, with UEBA at its core, Securonix operates as a fully cloud-based solution without compromises. Users can efficiently collect, identify, and address threats through a single, scalable solution that leverages machine learning and behavioral insights. Designed with a results-oriented mindset, Securonix takes care of SIEM management, allowing teams to concentrate on effectively addressing security threats as they arise.

Assure Compliance Monitoring is a comprehensive suite of Assure Security functionalities designed to swiftly detect security and compliance challenges by generating alerts and reports based on IBM i system operations, database modifications, and insights into Db2 data. The suite comprises two features that can also be utilized independently. Assure Monitoring and Reporting effectively extracts valuable insights from IBM i journal data, providing alerts and reports regarding security breaches and compliance discrepancies. Monitoring capabilities for both systems and databases can be accessed separately or in conjunction, and you also have the option to channel data directly to your enterprise SIEM solution, enabling IBM i security oversight alongside other enterprise platforms. Additionally, Assure Db2 Data Monitor stands out as an innovative tool that oversees access to highly sensitive Db2 data and can even restrict visibility of certain records. Assure Security offers leading-edge IBM i security solutions that empower your organization to adhere to cybersecurity regulations effectively while ensuring robust protection of your data. This holistic approach to security not only safeguards sensitive information but also streamlines compliance processes across your organization.

Access systems from any location using user identity, eliminating the need for traditional solutions like SSH bastion hosts or VPNs that require the distribution and management of credentials, network control configurations such as firewalls, and exposing private networks. Boundary offers a secure method to access critical systems and hosts without the hassle of managing credentials or compromising your network's security, and it is completely open source. You can authenticate using any trusted identity provider you currently utilize, which means there’s no need to distribute new credentials. Instead of relying on physical IP addresses, authorize access based on logical roles and services. Additionally, you can manage dynamic infrastructure and integrate service registries to ensure that hosts and service catalogs are always current. Automate the injection of credentials to securely access services and hosts via HashiCorp Vault, thereby minimizing the risk of credential leakage through dynamic secrets and just-in-time credentials. This innovative approach not only simplifies access management but also enhances overall security and efficiency in your network.

Waypoint simplifies the management and monitoring of deployments across various platforms like Kubernetes, Nomad, EC2, and Google Cloud Run by utilizing a single configuration file and a unified workflow. It supports application development in any programming language or framework, allowing for the use of Buildpacks for automatic building of standard frameworks or the option to employ custom Dockerfiles and other build tools for more specific control. During the build phase, your application and its assets are compiled, validated, and transformed into an artifact. This artifact can then either be published to a remote registry or directly handed off to the deploy phase. In the deployment phase, Waypoint efficiently transfers the artifacts generated during the build phase to diverse platforms, including Kubernetes, EC2, and static site hosts. It systematically configures the designated platform and ensures the new application version is ready for public access. Before officially launching, deployments can be reviewed through a preview URL, allowing for any necessary adjustments. Finally, Waypoint facilitates the release of your prepped deployments, making them available for the public to access and interact with. This streamlined approach enhances the overall deployment experience across different environments.

OpenText Data Privacy & Protection Foundation (Voltage) enables organizations to secure sensitive information with a modern, quantum-resilient approach that supports both operational continuity and regulatory compliance. Instead of relying on traditional encryption that breaks workflows, it uses NIST-approved, format-preserving methods that preserve data usability while protecting high-value fields. The platform provides persistent protection, securing data no matter where it lives or how it moves—across cloud infrastructures, analytics pipelines, and distributed applications. With stateless key management, performance stays high even at massive volumes, making it ideal for enterprise-scale deployments. Global organizations trust OpenText because its technologies meet stringent certifications, including FIPS 140-2, Common Criteria, and NIST SP 800-38G. Deep integrations across AWS, Azure, Google Cloud, Snowflake, Hadoop, Databricks, and more ensure seamless adoption without architectural overhaul. This enables businesses to modernize, migrate, or analyze data safely without exposing sensitive information. Ultimately, the platform helps reduce compliance risk, streamline governance, and future-proof data protection strategies.

With the increasing complexity of the attack landscape, businesses are facing a critical shortage of adept security professionals to defend against cyber threats. The urgency of timely responses is vital for reducing the risks associated with cybersecurity incidents; however, the multitude of security tools available often results in a cumbersome management process for security teams, leading to significant time and resource expenditures. Securonix's Security Orchestration, Automation, and Response (SOAR) platform enhances the efficiency of security operations by automating responses that provide valuable context, along with recommending playbooks and subsequent actions to assist analysts in their decision-making. By streamlining incident response through features such as integrated case management and compatibility with over 275 applications, SOAR ensures that security teams can access SIEM, UEBA, and network detection and response (NDR) solutions all from one centralized interface, thereby optimizing their workflow and effectiveness. This comprehensive approach not only aids in quicker incident resolution but also helps to alleviate some of the burdens caused by the current talent shortage in cybersecurity.

Complexity is the enemy of security. Simplify and scale fine-grained data access control. Dynamically authorize and audit every query to comply with data security and privacy regulations. Okera integrates seamlessly into your infrastructure – in the cloud, on premise, and with cloud-native and legacy tools. With Okera, data users can use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives.

Tonic provides an automated solution for generating mock data that retains essential features of sensitive datasets, enabling developers, data scientists, and sales teams to operate efficiently while ensuring confidentiality. By simulating your production data, Tonic produces de-identified, realistic, and secure datasets suitable for testing environments. The data is crafted to reflect your actual production data, allowing you to convey the same narrative in your testing scenarios. With Tonic, you receive safe and practical data designed to emulate your real-world data at scale. This tool generates data that not only resembles your production data but also behaves like it, facilitating safe sharing among teams, organizations, and across borders. It includes features for identifying, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Tonic also ensures the proactive safeguarding of sensitive data through automatic scanning, real-time alerts, de-identification processes, and mathematical assurances of data privacy. Moreover, it offers advanced subsetting capabilities across various database types. In addition to this, Tonic streamlines collaboration, compliance, and data workflows, delivering a fully automated experience to enhance productivity. With such robust features, Tonic stands out as a comprehensive solution for data security and usability, making it indispensable for organizations dealing with sensitive information.

Effective change management for databases in a framework-agnostic development environment ensures reliable deployments. What distinguishes Sqitch from other database migration tools is its independence from any specific framework or ORM. It provides users with binary and source code downloads, along with comprehensive installation guides. Additionally, it includes command references, tutorials, and best practice resources. Those looking for assistance can find support through issue trackers, mailing lists, and the source repository. Unlike many other tools, Sqitch operates independently of frameworks, ORMs, or platforms, functioning as a self-sufficient change management solution without bias toward any particular database engine, application framework, or development setup. It allows database changes to specify dependencies on other modifications, including those from unrelated Sqitch projects, which ensures that execution is carried out in the correct sequence even if changes were committed out of order in version control systems. The management of changes and their dependencies is handled through a plan file, utilizing a Merkle tree structure akin to Git and Blockchain to maintain the integrity of deployments. This design eliminates the necessity of numbering changes, though users have the option to do so if they choose. Furthermore, Sqitch's flexibility and robust features make it an excellent choice for developers seeking a reliable migration framework.

Census serves as an operational analytics platform that connects your data warehouse with your preferred applications. By ensuring that customer success, sales, and marketing teams share the same information, it keeps customer data consistently updated without needing any engineering assistance. With Census, SQL and dbt models from your data warehouse are effortlessly published without writing any code. You can avoid the hassle of interpreting external APIs and managing custom scripts, allowing you to concentrate on achieving your business objectives. Instead of dealing with "yet another source of truth," leverage the data already available in your warehouse. Census seamlessly integrates with your current infrastructure; simply choose a destination app, map the data, and it's all set. Your data can be more than just quarterly reports; Census enables everyone in your organization to take initiative. With live metrics accessible in every application, you can enhance your business operations, resulting in increased user satisfaction and higher revenue. Moreover, this streamlined approach not only fosters collaboration among teams but also drives innovation by making data-driven decisions simpler and more effective.