The Collate Platform unifies data discovery, observability and governance, and empowers data teams to build and manage high-quality data assets. Trusted globally by Fortune 50 enterprises and innovative startups, Collate is built on the fastest growing open source OpenMetadata project, which has 1500+ enterprise deployments and 1M+ Docker downloads.
Data platform, engineering, and governance teams struggle with deploying siloed data catalogs, data quality, and governance tools to their data stakeholders, and still are unable to provide the complete context and self-service around all the data needed for modern data teams. Collate provides a unified solution for all your data use cases, and is designed for both technical and non-technical data team members to collaborate together in social workspaces.
Deliver high quality data assets, improve productivity, and reduce TCO. OpenMetadata's rich features and Collate's value-added enhancements provide all the capabilities needed for data teams to transform their data culture, including: unified catalog experience, column-level lineage, data profiling observability, no-code data quality tests, alerting & incident management workflows, collaborative business glossary, governance automations, stewardship insights, AI productivity, 80+ turnkey data connectors, and a metadata application marketplace.
Deployment models available include single-tenant SaaS, hybrid deployment, and private cloud deployments with AWS VPN, to meet the security needs of every organization. For custom pricing, deployment options, and private contracts, please contact marketplace@getcollate.io.
Highlights
UNIFIED: Get a single platform for data discovery, lineage, observability, quality, collaboration, governance, and insights, made possible with a Unified Metadata Graph that centralizes all metadata for all data assets. Create a single source of truth designed to bring data teams together in shared responsibility and contribution.
MODERN: API-first, schema-first, and open-source architecture provides you metadata control and customization. Extensible metadata entities and relationships tailor the Unified Metadata Graph to your specific data needs. This enables data collaboration workflows between data producers and consumers for a more data-driven culture at your organization.
SIMPLE: The simple user experience is designed for technical and non-technical users to collaborate together, while still having robust data practitioner capabilities, all built to meet the security and scalability requirements of enterprises. Manage hundreds of thousands of data assets and tens of thousands of users with automation, AI, and administrative controls.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Collate offers one contract package on AWS Marketplace: the Premium Package. You pay for a single bundle that covers up to 25 users and 5,000 data assets. Pricing is quantity-based on units, so you buy the package as a set allocation rather than metering usage over time. Data assets count tables, views, streams, topics, dashboards, pipelines, jobs, ML models, reports, and containers. Supporting objects like charts, glossaries, tags, and test cases do not count against your asset limit. This single-tier structure gives you fixed capacity for users and assets under one commitment.
Top-of-mind questions for buyers
What happens if my user count or data assets exceed the package limits of 25 users and 5,000 assets?
You can stay on the package and buy additional users and data assets based on your needs rather than being forced to change your commitment. Each plan carries information about the added cost for extra users and assets. Contact the vendor for the specific add-on details.
Which items count toward my 5,000 data asset limit, and which do not?
Data assets include tables, views, streams, topics, dashboards, pipelines, jobs, ML models, reports, and containers. Supporting objects such as charts, glossaries, tags, test cases, queries, conversation threads, tasks, policies, teams, and services do not count against your licensed limit. Those remain usable without reducing your asset allowance.
Between users and data assets, which limit drives when I need to buy more capacity?
The package caps both metrics independently: 25 users and 5,000 data assets. You reach the boundary whenever either limit fills first, regardless of the other. Growing teams hit the user cap sooner; large data estates hit the asset cap sooner. You then add capacity for whichever metric you exceeded.
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