Best Data Collaboration Platforms for Amazon Web Services (AWS)
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Compare the Top Data Collaboration Platforms that integrate with Amazon Web Services (AWS) as of October 2025
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This a list of Data Collaboration platforms that integrate with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.
What are Data Collaboration Platforms for Amazon Web Services (AWS)?
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 Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.
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1
Fasoo Data Radar
Fasoo
Fasoo Data Radar (FDR) is a data discovery and classification solution that helps organizations locate, analyze, and manage sensitive unstructured data across on-premise servers, cloud storage, and endpoints. It scans and classifies files based on keywords, regex patterns, file formats, and other predefined policies, ensuring organizations maintain control over critical information. With real-time monitoring and centralized policy enforcement, FDR enhances data security by identifying risks, preventing unauthorized access, and assisting with compliance requirements such as GDPR, HIPAA, and CCPA. Its integration with enterprise security frameworks allows organizations to apply consistent data protection policies while improving operation workflows. By automating data classification and governance, FDR increases efficiency and enhances data visibility for security and compliance management. -
2
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. -
3
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. -
4
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. -
5
Metaphor
Metaphor Data
Automatically indexed warehouses, lakes, dashboards, and other pieces of your data stack. Combined with utilization, lineage, and other social popularity signals, Metaphor lets you show the most trusted data to your users. Provide an open 360 view of your data and conversations about data to everyone in the organization. Meet your customers where they are - share artifacts from the catalog including documentation, natively via Slack. Tag insightful Slack conversations and associate them with data. Collaborate across silos by the organic discovery of important terms and usage patterns. Easily discover data across the entire stack, write technical details and Business friendly wiki that is easily consumed by non-technical users. Support your users directly in Slack and use the catalog as a Data Enablement tool to quickly onboard users for a more personalized experience. -
6
LiveRamp Safe Haven
LiveRamp
LiveRamp’s platform provides privacy-conscious and configurable collaboration across your organization and external partners to build audiences, activate data, and access actionable insights. Cookies are disappearing, and you need a new marketing foundation to build upon for the next decade. Safe Haven preserves your audience data investment and creates powerful collaborative opportunities to safely and securely grow a more accurate, dynamic view of your customers. Safe Haven maximizes the value of your marketing data. With 600+ turnkey integrations, you can connect with the best services to deepen your audience understanding, access new measurement reports, or begin a collaborative partnership to develop new predictive models or micro-segments. Stop justifying marketing with impressions and clicks and talk to the rest of the C-suite with a measurement that matters, incrementality, closed-loop measurement, journey analytics, revenue impact, and more. -
7
Claravine
Claravine
Claravine is redefining data integrity for the global enterprise. The Data Standards Cloud makes it easy for teams to standardize, connect, and control data collaboratively, across the organization. Leading brands use Claravine to take greater ownership and control of their data from the start, for better decisions, stickier consumer experiences, and increased ROI. -
8
InfoSum
InfoSum
InfoSum unlocks data’s limitless potential. Using patented, privacy-first technology, InfoSum connects customer records between and amongst companies, without ever sharing data. Customers across financial services, content distribution, connected television, eCommerce, gaming, and entertainment all trust InfoSum to seamlessly and compliantly connect their customer data to other partners through privacy-safe, permissioned, data networks. There are many applications for InfoSum’s technology, including standard ‘data-onboarding’ to much more sophisticated use cases that allow for the creation of owned identity platforms, the development of new data and advertising products, and the formation of entirely new marketplaces. InfoSum was founded in 2015. The company has multiple patents, protecting its invention of the ‘non-movement of data.’ InfoSum is based in the US, UK and CE, with offices, and customers across Europe and North America. The company is poised for exponential growth -
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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