Azure Databricks Integrations

Union.ai Benefits: - Accelerated Data Processing & ML: Union.ai significantly speeds up data processing and machine learning. - Built on Trusted Open-Source: Leverages the robust open-source project Flyte™, ensuring a reliable and tested foundation for your ML projects. - Kubernetes Efficiency: Harnesses the power and efficiency of Kubernetes along with enhanced observability and enterprise features. - Optimized Infrastructure: Facilitates easier collaboration among Data and ML teams on optimized infrastructures, boosting project velocity. - Breaks Down Silos: Tackles the challenges of distributed tooling and infrastructure by simplifying work-sharing across teams and environments with reusable tasks, versioned workflows, and an extensible plugin system. - Seamless Multi-Cloud Operations: Navigate the complexities of on-prem, hybrid, or multi-cloud setups with ease, ensuring consistent data handling, secure networking, and smooth service integrations. - Cost Optimization: Keeps a tight rein on your compute costs, tracks usage, and optimizes resource allocation even across distributed providers and instances, ensuring cost-effectiveness.

The Asset Guardian (TAG) offers CMMS, EAM, APM, Maintenance-as-a-Service, as well as mobile-EAM applications that can scale as your organization’s needs and technological requirements evolve. Its native application is built-in the Microsoft Dynamics 365 Business Central framework and integrates everything from Microsoft 365 to Azure cloud and IoT services, helping you decrease operational costs, extend asset lifecycles beyond depreciation, and eliminate costly downtime. TAG’s mobile-EAM applications offer an unparalleled UX experience. TAG Mobility Suite was developed to provide maintenance individuals with role-based interfaces to support their specific processes, from inspections to IoT-connected assets and work order scheduling. Facilitate mobile maintenance adoption, improve communication, solve issues faster and manage resources in real-time. Benefit from flexible hosting options (SaaS, hybrid, on-premise) as well as dedicated user training, deployment, and support services to ensure successful EAM implementation. With over 15 years of experience in managing, maintaining, and optimizing assets and thousands of users worldwide, TAG is the partner you can count on when it comes to EAM for Microsoft Dynamics.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

Nuvento Inc. is a digital technology services and consulting firm that helps growing businesses transform their operations and services with powerful digital applications and platforms. We follow a unique ABCD model of AI & Automation, Business Platforms & Transformation, Cloud, and Data Engineering that helps businesses step up their digital capabilities, eliminate manual and legacy processes, and gradually become fully digital businesses. Our specialties include the following: 1. Digital Strategy and Technology Consulting 2. The ABCD model of AI and Automation, Business Platforms and Transformation, Cloud Engineering, and Data Engineering 3. Accelerating go-to-market strategies with rapid application development frameworks. 4. Cloud & Managed Services: We are partnered with technology powerhouses like Microsoft, AWS, and Databricks to enable powerful transformations with expertise in Azure migration service, AWS cloud migration, etc. with secured delivery over the cloud and on-premises. Headquartered in Cranbury, New Jersey, Nuvento is growing its presence globally. We're now in; Overland Park, Kansas, Nova Scotia, Canada; Bengaluru and Cochin, India.

Power BI provides advanced data analysis, leveraging AI features to transform complex datasets into visual insights. It integrates data into a single source, OneLake, reducing duplication and streamlining analysis. The platform enhances decision-making by integrating insights into everyday tools like Microsoft 365 and is bolstered by Microsoft Fabric for data team empowerment. Power BI is scalable, handling extensive data without performance loss, and integrates well with Microsoft's ecosystem for coherent data management. Its AI tools are user-friendly and contribute to efficient and accurate insights, supported by strong data governance measures. The Copilot function in Power BI enables quick and efficient report creation. Power BI Pro licenses individuals for self-service analytics, while the free account offers data connection and visualization capabilities. The platform ensures ease of use and accessibility, backed by comprehensive training. It has shown a notable return on investment and economic benefits, as reported in a Forrester study. Gartner's Magic Quadrant recognizes Power BI for its ability to execute and completeness of vision.

Microsoft Azure is a cloud computing platform that allows you to quickly develop, test and manage applications. Azure. Invent with purpose. With more than 100 services, you can turn ideas into solutions. Microsoft continues to innovate to support your development today and your product visions tomorrow. Open source and support for all languages, frameworks and languages allow you to build what you want and deploy wherever you want. We can meet you at the edge, on-premises, or in the cloud. Services for hybrid cloud enable you to integrate and manage your environments. Secure your environment from the ground up with proactive compliance and support from experts. This is a trusted service for startups, governments, and enterprises. With the numbers to prove it, the cloud you can trust.

ProActive Parallel Suite, a member of the OW2 Open Source Community for acceleration and orchestration, seamlessly integrated with the management and operation of high-performance Clouds (Private, Public with bursting capabilities). ProActive Parallel Suite platforms offer high-performance workflows and application parallelization, enterprise Scheduling & Orchestration, and dynamic management of private Heterogeneous Grids & Clouds. Our users can now simultaneously manage their Enterprise Cloud and accelerate and orchestrate all of their enterprise applications with the ProActive platform.

StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

You can quickly find answers with the flexible visual query builder. You can access data via your browser or phone and analyze it anywhere you are. No SQL, data scientist, or desktop required. You can learn from your team mates and search for any questions within your organization with shared questions. @mentions, push notifications and shared chat allow you to bring the right people in the conversation and make data actionable. You can easily copy and modify shared questions, export data and change the way charts are displayed so you don't just see someone else's analysis but make it yours. External sharing can be turned on to allow access to data tables and partners outside your domain. In just two clicks, you can access the underlying data tables. Smart typeaheads make it easy to run custom SQL.

Dasera is a Data Security Posture Management (DSPM) solution that provides comprehensive security and governance for structured and unstructured data across cloud and on-premises environments. It uniquely monitors data-in-use, offering continuous visibility and automated remediation to prevent data breaches at every data lifecycle stage. Dasera facilitates continuous risk detection and mitigation, ensuring seamless integration and regulation compliance. With a deep understanding of data infrastructure, attributes, users, and usage, Dasera empowers organizations to pursue a secure, data-driven growth strategy, minimizing risks and maximizing value in the digital era.

Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.

Axonius gives IT and security teams the confidence to control complexity by providing a system of record for all digital infrastructure. With a comprehensive understanding of all assets including devices, identities, software, SaaS applications, vulnerabilities, security controls, and the context between them, customers are able to mitigate threats, navigate risk, decrease incident response time, automate action, and inform business-level strategy — all while eliminating manual, repetitive tasks.

Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine. The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

Answer questions today, not next week. Latitude makes it easy to create low-code data apps within minutes. You don't need a data stack, but you can help your team answer data-related questions. Connect your data sources to Latitude and you can immediately start exploring your data. Latitude connects with your database, data warehouse, or other tools used by your team. Multiple sources can be used in the same analysis. We support over 100 data sources. Latitude offers a vast array of data sources that can be used by teams to explore and transform data. This includes using our AI SQL Assistant, visual programming, and manually writing SQL queries. Latitude combines data exploration with visualization. You can choose from tables or charts and add them to the canvas you are currently working on. Interactive views are easy to create because your canvas already knows how variables and transformations work together.

Only send the data that is changed to the destination. Reduce computational overhead and eliminate data latency. Change data capture is a highly effective method of synchronizing data. Reduce compute costs by streaming only the data which has changed. Log-based replication allows you to replicate data in the real-time and without impacting source database performance. Install the end-toend solution in just minutes. No pipeline maintenance is required. Let your data teams focus on more valuable projects. Artie can be set up in a few easy steps. Artie will backfill historical data and stream continuously new changes to the final tables as they occur. Artie ensures high reliability and data consistency. Artie uses offsets to continue where it left off in the event of a failure. This helps maintain high data integrity without the need for re-syncs.

All your data, analytics, and AI in one unified platform. Databricks is powered by Delta Lake. It combines the best data warehouses with data lakes to create a lakehouse architecture that allows you to collaborate on all your data, analytics, and AI workloads. We are the original developers of Apache Spark™, Delta Lake, and MLflow. We believe open source software is the key to the future of data and AI. Your business can be built on an open, cloud-agnostic platform. Databricks supports customers all over the world on AWS, Microsoft Azure, or Alibaba cloud. Our platform integrates tightly with the cloud providers' security, compute storage, analytics and AI services to help you unify your data and AI workloads.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

Prophecy allows you to connect with many more people, including data analysts and visual ETL developers. To create your pipelines, all you have to do is click and type a few SQL expressions. You will be creating high-quality, readable code for Spark or Airflow by using the Low-Code Designer. This code is then committed to your Git. Prophecy provides a gem builder that allows you to quickly create and roll out your own Frameworks. Data Quality, Encryption and new Sources are just a few examples. Prophecy offers best practices and infrastructure as managed service - making your life and operations easier! Prophecy makes it easy to create workflows that are high-performance and scale out using the cloud.

Discover insights to boost sales growth with code-free, fully automated data pipelines to data lakes and cloud warehouses. Flexible, standards-based platform that unifies sales and marketing data to automate insights and smarter growth. Say goodbye to manual data downloads that are expensive and messy. You will always know exactly what you'll be charged and only pay what you actually use. Access to data-ready data is a great way to fuel your tools. We only work with official APIs as certified developers. Data pipelines from well-known sources are easy to use. These data pipelines are pre-built, pre-transformed and ready to go. Unlock data from Amazon Vendor Central and Amazon Seller Central, Instagram Stories. Teams can quickly and economically realize the value of their data with code-free data ingestion and transformation. Databricks, Amazon Redshift and other trusted data destinations like Databricks or Amazon Redshift ensure that data is always protected.

A streaming database is designed to store, process, analyze, and ingest large data streams. It is a modern data infrastructure which unifies messaging, stream processing and storage to help you get the most out of your data in real time. Massive amounts of data are continuously ingested from many sources, including IoT device sensor sensors. A specially designed distributed streaming data storage cluster can store millions of data streams securely. Subscribe to HStreamDB topics to access data streams in real time as fast as Kafka. You can access and playback data streams at any time thanks to the permanent stream storage. Data streams can be processed based on event-time using the same SQL syntax that you use to query relational databases. SQL can be used to filter, transform and aggregate multiple data streams.

Kedro provides the foundation for clean, data-driven code. It applies concepts from software engineering to machine-learning projects. Kedro projects provide scaffolding for complex machine-learning and data pipelines. Spend less time on "plumbing", and instead focus on solving new problems. Kedro standardizes the way data science code is written and ensures that teams can collaborate easily to solve problems. You can make a seamless transition between development and production by using exploratory code. This code can be converted into reproducible, maintainable and modular experiments. A series of lightweight connectors are used to save and upload data across a variety of file formats and file systems.

The toolkit to build interactive, fully customized analytics experiences into your apps. Embeddable believes that you shouldn't be forced to choose between buying or building your analytics solution. While creating charts, graphs and dashboards is an expensive, ongoing commitment, the out-of-the box solutions do not deliver the user experience that you desire for your clients. Welcome to the world of limitless creativity where you can create analytics experiences that are truly remarkable, and surpass your customers' expectations. Create your perfect experience using best-in class open source libraries. Embeddable displays data in your app using a secure read only transaction, regardless of whether your data is stored in a central data warehouse or distributed across multiple microservices. Let your imagination run wild and create the analytics solution you want, without compromising.

Tabular is a table store that allows you to create an open table. It was created by the Apache Iceberg creators. Connect multiple computing frameworks and engines. Reduce query time and costs up to 50%. Centralize enforcement of RBAC policies. Connect any query engine, framework, or tool, including Athena BigQuery, Snowflake Databricks Trino Spark Python, Snowflake Redshift, Snowflake Databricks and Redshift. Smart compaction, data clustering and other automated services reduce storage costs by up to 50% and query times. Unify data access in the database or table. RBAC controls are easy to manage, enforce consistently, and audit. Centralize your security at the table. Tabular is easy-to-use and has RBAC, high-powered performance, and high ingestion under the hood. Tabular allows you to choose from multiple "best-of-breed" compute engines, based on their strengths. Assign privileges to the data warehouse database or table level.

Faster access unlocks more revenue. Give your team on-demand access to apps that is faster and easier without frustrating them. Slack allows users to request access to apps. Managers can approve or deny the request from Slack. All of this is auditable. Stop manually catherding approvals. Every time an access is granted, there's a security risk. Indent helps teams to scale security and least-privilege by shifting users from permanent access without slowing things down. Automate spreadsheet-based processes for SOC 2, SOX ISO and HITRUST. Controls and policies are baked directly into the access request workflows. Reduce your license footprint by only providing access when needed, instead of granting permanent access. Indent reduces costs without adding friction to the end user experience. If you want to lead a rapidly growing company to success, you need to take on big risks.

It is difficult to create and manage data policies. With PACE, you can ensure that data is used in a secure manner. You can apply data policies to code, no matter where it is located. Say goodbye to costly meetings and long waits, and hello to your new open-source data security engine. Data policies aren't only about controlling access, they are also about extracting value from the data with the correct guardrails. PACE allows you to collaborate on the why, and when automating the code. With PACE, you can programmatically apply data policies across multiple platforms. Integrate into your data platform or catalog (optional) and leverage the native capabilities that you already have. PACE automates the application of policies across major data platforms and catalogs, easing your governance processes. Centralize control and decentralize the execution of policies. Auditing obligations can be met by demonstrating how controls are implemented.

Data engineering workflows that are powerful, but without the headaches of infrastructure. Simple, reusable Python is used to define complex streaming, scheduling and data backfill pipelines. Fetch all your data in real time, no matter how complicated. Deep learning and LLMs can be used to make decisions along with structured business data. Don't pay vendors for data that you won't use. Instead, query data right before online predictions. Experiment with Jupyter and then deploy into production. Create new data workflows and prevent train-serve skew in milliseconds. Instantly monitor your data workflows and track usage and data quality. You can see everything you have computed, and the data will replay any information. Integrate with your existing tools and deploy it to your own infrastructure. Custom hold times and withdrawal limits can be set.

Nucleon Database Master is an intuitive, modern, powerful and simple to use database administration, management, and query software. It has a consistent and modern interface. Database Master makes it easy to manage, monitor, query, edit, visualize, design relational and NoSQL DBMSMS. Database Master lets you execute extended SQL, JQL, and C# (Linq), query scripts. It also provides all database objects, such as tables, views and procedures, columns, indexes and relationships (constraints), collection, triggers, and other objects.

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.

It can be difficult to migrate data to the cloud. Bluemetrix Data Manager (BDM) will simplify the process. BDM automates complex data source ingestion and ensures that your pipelines are automatically configured to match new data sources as they change. BDM allows automation and processing data at scale in a secure environment. It also has smart GUI and API interfaces. Fully automated data governance makes it possible to streamline pipeline creation and record and store all actions in your catalog as the pipeline executes. Smart scheduling options and easy to create templates allow data consumers, both technical and business, to access Self Service capabilities. Free enterprise-grade data ingestion tool. It will automate the ingestion and creation of pipelines, as well as the smooth and rapid transfer of data from on-premise to the cloud.

LogIQ.AI's LogFlow allows you to centrally manage your observability data pipes. Data streams are automatically organized and optimized as they arrive for your business teams or knowledge workers. XOps teams can centralize the management of data flows, increase data quality, and relevance. LogFlow's InstaStore, which can be built on any object store allows for infinite data retention and data replay to any target observation platform of your choosing. Analyze operational metrics across applications, infrastructure and gain actionable insight that will help you scale with confidence and maintain high availability. By analyzing and collecting behavioral data from business systems, you can help your business make better business decisions and provide better user experiences. Don't let new attack techniques catch you off guard. Automate threat prevention and remediation by automating the detection and analysis of threat patterns from multiple sources.

Eureka automatically detects all types and deployments of data stores, understands the data, and identifies your real-time risk. Eureka allows you to choose, customize, and create policies. These policies are automatically translated into platform-specific controls for all your relevant data stores. Eureka constantly compares the real-world implementation with the desired policy. It alerts on gaps and policy drift and recommends risk-prioritized remediations and actions. Know your entire cloud data storage footprint, data store content, security, and compliance risks. With agentless discovery and risk monitoring, you can quickly implement change. Continuously monitor, improve, and communicate cloud data security and compliance. Protect your data and allow you to access it with security measures that do not interfere with business agility or operations. Eureka provides broad visibility, policy and control management as well as continuous monitoring, alerting, and monitoring.

Uber developed Horovod to make distributed deep-learning fast and easy to implement, reducing model training time from days and even weeks to minutes and hours. Horovod allows you to scale up an existing script so that it runs on hundreds of GPUs with just a few lines Python code. Horovod is available on-premises or as a cloud platform, including AWS Azure and Databricks. Horovod is also able to run on Apache Spark, allowing data processing and model-training to be combined into a single pipeline. Horovod can be configured to use the same infrastructure to train models using any framework. This makes it easy to switch from TensorFlow to PyTorch to MXNet and future frameworks, as machine learning tech stacks evolve.

Azure Data Lake offers all the capabilities needed to make it easy to store and analyze data across all platforms and languages. It eliminates the complexity of ingesting, storing, and streaming data, making it easier to get up-and-running with interactive, batch, and streaming analytics. Azure Data Lake integrates with existing IT investments to simplify data management and governance. It can also seamlessly integrate with existing IT investments such as data warehouses and operational stores, allowing you to extend your current data applications. We have the experience of working with enterprise customers, running large-scale processing and analytics for Microsoft businesses such as Office 365, Microsoft Windows, Bing, Azure, Windows, Windows, and Microsoft Windows. Azure Data Lake solves many productivity and scaling issues that prevent you from maximizing the potential of your data.

A single storage platform can eliminate data silos. Tiered storage and policy management can help you reduce costs. Azure Active Directory (Azure AD), and role-based access control(RBAC) can authenticate data. You can also help protect your data with advanced threat protection and encryption at rest. Flexible mechanisms provide protection for data access, encryption, network-level control, and more. Highly secure. A single storage platform that supports all the most popular analytics frameworks. Cost optimization through independent scaling of storage, compute, lifecycle management and object-level Tiering. With the Azure global infrastructure, you can meet any capacity requirement and manage data with ease. Large-scale analytics queries run at high performance.

You can prevent data outages by identifying data quality issues and fixing them before they reach production. In less than a day, you can increase your test coverage for data pipelines from 0 to 100%. Automatic regression testing across billions upon billions of rows allows you to determine the impact of every code change. Automate change management, improve data literacy and compliance, and reduce incident response times. Don't be taken by surprise by data incidents. Automated anomaly detection allows you to be the first to know about them. Datafold's ML model, which can be easily adjusted by Datafold, adapts to seasonality or trend patterns in your data to create dynamic thresholds. You can save hours trying to understand data. The Data Catalog makes it easy to search for relevant data, fields, or explore distributions with an intuitive UI. Interactive full-text search, data profiling and consolidation of metadata all in one place.

LynxCare partners up with top healthcare organizations to increase the accessibility of actionable and precise data, with the sole purpose of improving patient outcomes. Reduce time spent on quality reports, increase research output, and assess patient risk accurately. By unlocking the potential of EHR data, LynxCare helps you to generate actionable RWE for precision medicine, and innovative study designs. Clinicians need to harness healthcare data and implement robust data management strategies. LynxCare's mission, is to be the all-in-one platform for healthcare organisations looking to gain control over their data. LynxCare conforms to all (inter)national privacy regulations around the world. Multi-layer access restrictions ensure that data access and use are protected. Our team of medical experts can help you obtain the consent and ethical approval required to deploy data in research settings.

Evvox is an insurance platform that provides an end-to-end platform. Our North Star is to help your business identify new growth channels and increase its profitability. This is possible with advanced analytics, AI/ML technology and intelligent routing. We also provide customer segmentation, customer lifetime values, cross-sell/upsell and many other services that can be used to help your company. The best thing about our data platforms is their ability to integrate new data into existing models and present it in a way that is relevant to you. We are the ones who walk the talk. Our company has 25 years' experience ingestion. We have optimized it and focused on it to speed-up new data times 5x-10x. We bring the data models as well as the external data. We bring the data models and the external data. Together we create the foundation for insights. Your sales team receives insights directly from your data. Your sales team can be equipped to provide the best value to customers and to sign new business.

QueryPie allows you to centrally manage multiple data sources and security policies from one place. Your company can be on the fast track for success without having to change the data environment. Data governance is essential in today's data-driven world. You must ensure that you adhere to data governance standards and allow many users accessing growing amounts of important information. You can establish data access policies by adding key attributes like IP address and access time. To secure data analysis and editing, privilege types can be created using SQL commands such as DML, DCL and DDL. You can view logs based upon permissions to see details of SQL events and uncover user behavior and security concerns. All history can be exported to a file for reporting purposes.

Automate the automatic coverage of thousands of tables using ML-based anomaly detection. 50+ custom metrics are also available. Monitoring of metadata and data. Comprehensive mapping of all dependencies between assets from ingestion to reporting. Collaboration between data consumers and data engineers is enhanced and productivity is increased. Sifflet integrates seamlessly with your data sources and preferred tools. It can run on AWS and Google Cloud Platform as well as Microsoft Azure. Keep an eye on your data's health and notify the team if quality criteria are not being met. In a matter of seconds, you can set up the basic coverage of all your tables. You can set the frequency, criticality, and even custom notifications. Use ML-based rules for any anomaly in your data. There is no need to create a new configuration. Each rule is unique because it learns from historical data as well as user feedback. A library of 50+ templates can be used to complement the automated rules.

Connect Bobsled to your source, select the bucket or warehouse where you want the data to go and Bobsled will handle it. Bobsled will handle the rest. Connect Bobsled to the source, select the bucket or warehouse to which you want to send the data and Bobsled will take care of the rest. No accounts or pipelines to create. Bobsled is built using each platform's protocol for sharing data, bringing the security and ease that modern sharing brings without the pain of multi-cloud administration. Data integration takes up 70% of the time that teams spend working with external datasets. Share ready-to-query datasets directly into the platforms your customers use to help them get to analysis quicker. Track and manage all shares from one interface. Shares can be initiated, automated transfers can be made, errors resolved, and usage monitored.

Plan together, identify bottlenecks, and make confident decisions in order to achieve your goals. Connect your marketing, finance, hiring, and sales plans quickly and accurately. Calculate metrics that are shared across geographies and market segments. Compare actuals with plans to determine which parts of your company are thriving or struggling. Predictive alerts will let you know if there are any deviations from your plan numbers. Connect and merge data from multiple sources to get a bigger picture. With the best-in class visualizations, you can customize financial reports and optimize revenue, costs & profits. Consolidate data from multiple sources to gain complete visibility of business performance. This includes ERP, CRM, billing systems, databases, Excel & CSV.

Use Qlik®, Staige™, to make AI real. It will provide a trusted foundation for data, automation, actionable forecasts, and a company-wide impact. AI is not just experiments and initiatives - it's a whole ecosystem of files, scripts and results. We've partnered up with the best sources to provide you with integrations that will save time, enable better management, and validate the quality of your data. Automate the delivery and management of real-time AWS data to data lakes or warehouses, and make this data easily accessible via a governed catalogue. With our new integration with Amazon Bedrock you can easily connect foundational large-language models (LLMs), including A21 Labs Amazon Titan, Anthropic Cohere and Meta. AWS customers can leverage AI-driven insights with ease using seamless integration with Amazon Bedrock.

Protect, Monitor, and Discover enterprise sensitive data across multiple platforms and environments. Automate your subject rights response and demonstrate regulatory compliance - all in one solution