Best Data Collaboration Platforms for Microsoft Azure
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Compare the Top Data Collaboration Platforms that integrate with Microsoft Azure as of October 2025
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This a list of Data Collaboration platforms that integrate with Microsoft Azure. Use the filters on the left to add additional filters for products that have integrations with Microsoft Azure. View the products that work with Microsoft Azure in the table below.
What are Data Collaboration Platforms for Microsoft Azure?
Data collaboration platforms are software tools that allow for the sharing and manipulation of data between multiple users. These platforms often provide features such as version control, security and team management, allowing for a more efficient workflow. Generally, these platforms can be deployed both internally within an organization or through a cloud-based service accessible across the internet. Compare and read user reviews of the best Data Collaboration platforms for Microsoft Azure currently available using the table below. This list is updated regularly.
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1
Gigasheet
Gigasheet
Gigasheet is the big data spreadsheet that requires no set up, training, database or coding skills. If you can use a spreadsheet, you can find opportunities in big data. Best of all, your first 3GB are free! Use Gigasheet to filter, sort, group and aggregate data to gain insights. Create pivot tables by simply dragging columns around. Data cleanup tools and functions clean and insert data during analysis. Enrichments such as Email Validation and Geo IP Location look up make your data even more useful. Sharing and collaboration tools make distributing huge data sets a snap. Gigasheet integrates with more than 135 SaaS platforms and databases. Thousands of individuals and teams use Gigasheet to gain insights in minutes, not hours or days. You don't need to be a data scientist to get answers from big data.Starting Price: $95 per month -
2
Coginiti
Coginiti
Coginiti, the AI-enabled enterprise data workspace, empowers everyone to get consistent answers fast to any business question. Accelerating the analytic development lifecycle from development to certification, Coginiti makes it easy for you to search and find approved metrics for your use case. Coginiti integrates all the functionality you need to build, approve, version, and curate analytics across all business domains for reuse, all while adhering to your data governance policy and standards. Data and analytic teams in the insurance, financial services, healthcare, and retail/consumer package goods industries trust Coginiti’s collaborative data workspace to deliver value to their customers.Starting Price: $189/user/year -
3
Azure Data Share
Microsoft
Share data, in any format and any size, from multiple sources with other organizations. Easily control what you share, who receives your data, and the terms of use. Data Share provides full visibility into your data-sharing relationships with a user-friendly interface. Share data in just a few clicks, or build your own application using the REST API. Serverless code-free data-sharing service that requires no infrastructure setup or management. Intuitive interface to govern all your data-sharing relationships. Automated data-sharing processes for productivity and predictability. Secure data-sharing service that uses underlying Azure security measures. Share structured and unstructured data from multiple Azure data stores with other organizations in just a few clicks. There’s no infrastructure to set up or manage, no SAS keys are required, and sharing is all code-free. You control data access and set terms of use aligned with your enterprise policies.Starting Price: $0.05 per dataset-snapshot -
4
Enveil
Enveil
Data is the backbone of the digital economy, we change the paradigm of how and where organizations can leverage data to unlock value. Enterprises use Enveil’s award-winning ZeroReveal® solutions to securely and privately use data in-place across organizational boundaries, jurisdictions, and third parties while ensuring that the content of the interaction and the results are never exposed. Our PETs and homomorphic encryption-powered capabilities deliver an efficient and decentralized data collaboration framework designed to reduce risk and address business challenges including data sharing, monetization, and regulatory compliance. Protecting data while it's being used or processed, the ‘holy grail’ of secure data usage, we deliver the most mature encrypted search, analytic, and machine learning products on the market. Enveil is a pioneering privacy enhancing technology company protecting data in use for secure data usage, sharing, and monetization. -
5
CorralData
CorralData
CorralData is a full-service, AI-powered platform that radically simplifies unifying and analyzing data across multiple sources. With CorralData, you can access human data experts and industry-leading AI tools to easily and cost-effectively drive remarkable, data-fueled results. No coding, SQL, or engineering resources required. Here’s how CorralData works. First, unify all of your data sources using our 450+ pre-built data connectors. Our U.S.-based support team will guide you along the way. Then, begin instantly and securely unlocking powerful data insights using natural language AI questions. Or work directly with a human data expert to surface the insight you need. The CorralData platform includes everything you need to start using data to drive results in one simple, monthly subscription—stunning data visualization tools, built-in chat, custom reporting, and access to human experts. Schedule a free demo today and see how simple and easy AI-powered data can be.Starting Price: $200/month -
6
DataOps.live
DataOps.live
DataOps.live, the Data Products company, delivers productivity and governance breakthroughs for data developers and teams through environment automation, pipeline orchestration, continuous testing and unified observability. We bring agile DevOps automation and a powerful unified cloud Developer Experience (DX) to modern cloud data platforms like Snowflake. DataOps.live, a global cloud-native company, is used by Global 2000 enterprises including Roche Diagnostics and OneWeb to deliver 1000s of Data Product releases per month with the speed and governance the business demands. -
7
Databricks Data Intelligence Platform
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
8
Decentriq
Decentriq
Privacy-minded organizations work with Decentriq. With the latest advancements in encryption and privacy-enhancing technologies such as synthetic data, differential privacy, and confidential computing, your data stays under your control at all times. End-to-end encryption keeps your data private to all other parties. Decentriq cannot see or access your data. Remote attestation gives you verification that your data is encrypted and only approved analyses are running. Built-in partnership with market-leading hardware and infrastructure providers. Designed to handle even advanced AI and machine learning models, the platform keeps your data inaccessible no matter the challenge. With processing speeds approaching typical cloud levels, you don’t have to sacrifice scalability for excellent data protection. Our growing network of data connectors supports more streamlined workflows across leading data platforms. -
9
ZinkML
ZinkML Technologies
ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.
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