A data catalog inventories what data an organization has, tables, dashboards, files, models, and records what each one means, who owns it and where it came from. Data governance software layers policy on top of that inventory: access rules, stewardship workflows and an audit trail of who touched what.
This guide ranks the platforms on what actually separates them once the demo is over: what a real rollout costs once metadata volume and seats are added, how much of the catalog you can get back out if you leave, and who is really allowed to hold the index of your company's data.
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In short
What data catalog software does
Data catalog software inventories an organization's data assets, tables, dashboards, files and models, and records what each one means, who owns it and where it came from. Data governance software layers policy on top of that inventory: access rules, stewardship workflows and an audit trail, and increasingly, the governed context an AI agent reads before it answers a question about the business.
In this order: setup effort, what it really costs, how your data comes back out, whether
you can leave, and who each data catalog tool is built for. One rule sits on top of those tests:
Places 1 to 3 go to challengers, vendors outside the best-known brands in a category, wherever the category has them; the established names follow from place 4 in their ranked order. Why those five, and why there is no
score out of ten, is on the how we work page.
Free tier covers browse and search of Azure and Fabric sources up to 1,000 annotated assets; enterprise is consumption-based, billed per governed asset per day plus Data Governance Processing Units for data-quality rules, with published pay-as-you-go rates
Yes
Microsoft's business-facing data catalog, layered over the Purview Data Map metadata graph
Pay-as-you-go with published rates per DCU-hour of processing and per GiB of metadata storage; 100 DCU-hours of standard processing a month are free
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Google's Gemini-powered semantic catalog, renamed from Dataplex Universal Catalog in April 2026
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Country is where the vendor is headquartered or contracts from, which is a
different question from where your data is hosted. Where the two tell different stories, the
entry says so.
Leipzig-built enterprise knowledge graph for governed, machine-readable metadata
Ranked #1 of 11 in Best Data Catalog Software in 2026.
Published pricingEurope
eccenca's Corporate Memory models an organisation's data and business rules as a semantic knowledge graph rather than a flat catalog table, with a stated goal of making the result explainable enough for AI systems built on top of it to be trusted.
Low-code tooling is aimed at subject-matter experts rather than only data engineers, which is a genuine differentiator from the more developer-first tools on this list. It is a smaller, German-only-headquartered company with no published pricing and a smaller public profile than the venture-funded US and Singapore competitors here.
What stands out
EU-founded, Leipzig
Knowledge-graph architecture
Low-code for subject-matter experts
GermanyQuote-only, no published tiers; a free community edition sandbox (eccenca.my) lets you try it before a demo
Open-source catalog, lineage and governance platform with a commercial managed tier from Collate
Ranked #2 of 11 in Best Data Catalog Software in 2026.
Free tierOpen sourceSelf-hostablePublished pricingNorth America
OpenMetadata is a genuinely open-source project covering cataloguing, lineage, data quality, observability and governance in one unified metadata graph, which a team can self-host and read the source of before trusting it with anything. Collate, Inc.
is the commercial company behind it, selling a managed version with a real free tier for small teams and quote-only pricing above that. The trade-off is the usual open-source one: self-hosting is genuine ongoing operational work, and the managed product's higher tiers are no more transparently priced than the closed-source competitors on this list.
What stands out
Open source
Self-hostable
14,000+ open-source members
United StatesFree self-hosted open source; Collate's managed tier has a free plan (5 users, 500 assets), Premium and Enterprise are quote-only
All-in-one catalog, governance and AI data analyst, acquired by Atlassian in December 2025
Ranked #3 of 11 in Best Data Catalog Software in 2026.
Pricing on requestElsewhere
Secoda bundled catalog, governance, column-level lineage and monitoring into one product aimed at non-technical stakeholders as much as data engineers, with an always-on AI assistant answering questions about the data directly.
Atlassian announced its acquisition of Secoda on 4 December 2025, folding the team into Atlassian's Rovo/Teamwork Graph platform, so a buyer evaluating it today is really evaluating what Atlassian does with it next; Secoda's own site does not state a headquarters city, and deal terms were not disclosed.
What stands out
Catalog + lineage + observability in one
24/7 AI data analyst
Acquired by Atlassian, Dec 2025
Not stated by the vendorQuote-only across Core, Premium and Enterprise tiers
Singapore-based active metadata platform selling itself as AI agents' missing context layer
Ranked #4 of 11 in Best Data Catalog Software in 2026.
Pricing on requestAsia-Pacific
Atlan reverse-engineers a live metadata graph out of a company's warehouses, BI tools and pipelines, then exposes it through open APIs so both people and AI agents query the same governed context instead of guessing at a table name. It raised a $105M Series C in May 2024 at a $750M valuation led by Singapore's GIC, so it is well-capitalised and not going away.
The catch is the same as everywhere else in this category: no published price, and the AI-agent framing is where the roadmap is pointed, which means a buyer evaluating it purely as a classic catalog is not seeing the product at its strongest.
The data catalog pioneer, now selling governed context to AI agents as much as to analysts
Ranked #5 of 11 in Best Data Catalog Software in 2026.
Pricing on requestNorth America
Alation built the modern data-catalog category and has spent the last two years reselling the same governed metadata as "AI governance": the pitch is that a chatbot and a human analyst get the same answer to the same business question because both read from the same governed glossary.
That consistency argument is real and hard to copy quickly. What is missing from the public site is a number: there is no published price, no free tier, and no self-serve signup, so evaluating it means a sales cycle before a single screenshot.
Lyon-founded catalog built for business users first, technical governance second
Ranked #6 of 11 in Best Data Catalog Software in 2026.
Pricing on requestEurope
DataGalaxy was built in Lyon in 2015 around a specific bet: that a data catalog fails when only engineers can use it, so the interface, glossary and workflows are designed for business analysts and stewards first. It has since added a separate Portfolio product for tracking data and AI initiatives against governance requirements.
Pricing is entirely quote-only across both product lines, and as a mid-sized independent European vendor it does not have the AI-agent integration depth that the largest US platforms on this list are now racing to build.
What stands out
EU-founded, Lyon, 2015
Business-user-first design
Catalog + governance + AI-initiative tracking
FranceQuote-only across Starter, Professional and Enterprise catalog tiers, plus a separate Portfolio product line
Quest-owned catalog and governance suite that also covers unstructured data and AI-model certification
Ranked #7 of 11 in Best Data Catalog Software in 2026.
Pricing on requestNorth America
erwin's data-modelling roots go back to 1984, and Quest Software bought the company in October 2021 and still sells it as Quest erwin. The genuine differentiator against the pure-play catalogs on this list: it explicitly governs unstructured data and can certify an AI model's lineage, not just tag warehouse tables.
It is a smaller, less AI-agent-focused brand than Alation or Atlan now, and being one product inside a much larger Quest portfolio means the catalog is not the company's full attention the way it is for an independent vendor.
The Belgian-founded catalog and governance incumbent, now dual-headquartered in New York and Brussels
Ranked #8 of 11 in Best Data Catalog Software in 2026.
Pricing on requestElsewhere
Collibra was founded in Brussels in 2008 and is widely credited as Belgium's first software unicorn; its own about page now describes the company as headquartered in both New York and Brussels, and its website terms are governed by New York law.
The product has grown from a governance-and-catalog tool into what Collibra calls an "Enterprise AI Control Plane": an ontology-based Context Engine meant to feed governed metadata to AI agents. It is one of the largest, most established names in this category, which is also the trade-off: an incumbent's roadmap and pricing move on incumbent timelines, and nothing about pricing is public.
What stands out
Belgian-founded, 2008
Dual New York/Brussels HQ
AI Command Center / Context Engine
Belgium / United States (dual HQ)Quote-only; no published tiers
Austin-founded knowledge-graph catalog, now part of ServiceNow
Ranked #9 of 11 in Best Data Catalog Software in 2026.
Pricing on requestNorth America
data.world built its catalog and governance product on a knowledge-graph architecture rather than a flat metadata table, aimed at connecting business meaning to technical assets.
Its own site now states plainly that "data.world is now part of ServiceNow," so it is no longer evaluated as an independent company; expect its roadmap, pricing and packaging to fold into ServiceNow's much larger enterprise-platform sales motion rather than continue as a standalone product with its own pricing page.
Microsoft's business-facing data catalog, layered over the Purview Data Map metadata graph
Ranked #10 of 11 in Best Data Catalog Software in 2026.
Free tierPublished pricingNorth America
Unified Catalog is the layer of Microsoft Purview where a data product, a business glossary term and the technical tables behind it get connected, sitting on top of Purview's Data Map scanning engine. It began as Azure Purview, whose original portal and pricing are now labelled "classic", and it replaced Azure Data Catalog, a separate service retired in May 2024, which makes it easy to find outdated documentation.
Pricing is genuinely metered and published rather than quote-only, and a free version handles basic Azure and Fabric cataloguing up to 1,000 annotated assets, but it only makes sense as a purchase for an organisation already committed to Azure and Microsoft 365; it is not a portable, engine-agnostic catalog.
What stands out
Consumption-based, published rates
Governs data, AI models and M365 content together
Formerly Azure Purview; replaced Azure Data Catalog
United StatesFree tier covers browse and search of Azure and Fabric sources up to 1,000 annotated assets; enterprise is consumption-based, billed per governed asset per day plus Data Governance Processing Units for data-quality rules, with published pay-as-you-go rates
Google's Gemini-powered semantic catalog, renamed from Dataplex Universal Catalog in April 2026
Ranked #11 of 11 in Best Data Catalog Software in 2026.
Published pricingNorth America
Google's catalog has a tangled lineage: Dataplex Universal Catalog, which replaced the older Data Catalog service, was renamed Knowledge Catalog on 10 April 2026, with the API, client library, CLI and IAM names left as Dataplex underneath. The current pitch is an active context graph that grounds Gemini and other AI agents in a company's real metadata, across both structured tables and unstructured files, rather than a passive list of column names.
The naming churn is the real risk here: documentation, tutorials and job postings referencing "Dataplex" are already out of step with the product's current name, and while per-unit rates are published, the bill depends on processing volume that is hard to estimate before a pilot.
What stands out
Renamed from Dataplex, April 2026
Gemini-powered semantic context
Structured + unstructured coverage
United StatesPay-as-you-go with published rates per DCU-hour of processing and per GiB of metadata storage; 100 DCU-hours of standard processing a month are free
Data catalog software inventories an organization's data assets, tables, dashboards, files and models, and records what each one means, who owns it and where it came from. Data governance software layers policy on top of that inventory: access rules, stewardship workflows and an audit trail, and increasingly, the governed context an AI agent reads before it answers a question about the business. The differences that matter are rarely in the feature list, so this is
the order we would work through them.
01
Decide whether you need a published price
4 of the 11 tools here publish what they cost; the other 7 quote per organisation. The ones you can compare without a sales call: eccenca Corporate Memory, OpenMetadata, Microsoft Purview Unified Catalog, Google Cloud Knowledge Catalog.
02
Decide how much the jurisdiction matters
These 11 vendors are established in 6 countries across 4 regions (North America 6, Europe 2, Elsewhere 2, Asia-Pacific 1). That decides whose disclosure law applies to what the vendor holds, wherever the servers are.
03
Consider whether you want the source
1 of these are open source: OpenMetadata. Hosting one yourself trades a subscription for maintenance.
Inside one cloud, or above all of them
Microsoft Purview Unified Catalog and Google Cloud Knowledge Catalog are metered services within their own clouds, and Purview only makes sense for an organisation committed to Azure and Microsoft 365.
The independent vendors, Atlan, Alation, Collibra, DataGalaxy and OpenMetadata among them, are not tied to one provider. What matters is whether your data estate will plausibly span several clouds during the catalog's lifetime.
List every warehouse, lake and BI tool, then ask each vendor which have a native connector.
For Purview, estimate the governed asset count, since billing is per asset per day plus processing units for data-quality rules.
Search Google's documentation under both Dataplex and Knowledge Catalog, because the API names never changed.
Who is meant to open it: stewards, engineers or agents
DataGalaxy designs for business analysts and stewards first, and eccenca aims its low-code tooling at subject-matter experts. OpenMetadata, with lineage, quality and observability in one graph, appeals to engineering teams.
Atlan, Alation and Collibra now pitch the catalog as governed context for AI agents. A catalog filled by engineers and ignored by the business documents tables without ever settling what a term means.
Have a business analyst, not an engineer, look up a metric definition during evaluation.
Ask how an AI agent reads the glossary: through open APIs, as Atlan describes, or something proprietary.
Decide who approves a glossary term and confirm the workflow for it exists.
Several catalogs here now answer to a larger parent
Secoda was acquired by Atlassian in December 2025, data.world is now part of ServiceNow, and erwin Data Intelligence has belonged to Quest Software since 2021. In each case roadmap and packaging follow the parent's priorities.
Google renamed Dataplex Universal Catalog to Knowledge Catalog in April 2026, and both Google and Microsoft have replaced an older catalog service with the current one. A catalog is a multi-year commitment, so the parent's intentions belong in the evaluation.
Ask Secoda and data.world whether the product will still be sold standalone in two years.
Verify that the documentation you rely on uses the current product name.
Ask how much of the parent company's roadmap is dedicated to the catalog itself.
Flat inventory or knowledge graph, hosted or your own
eccenca Corporate Memory and data.world model metadata as a knowledge graph, which captures business rules and relationships that a list of tables cannot, in exchange for more modelling effort.
erwin also governs unstructured data and certifies AI-model lineage. OpenMetadata is the one option whose source you can read and self-host; Collate's free managed plan stops at 5 users and 500 assets.
Ask whether lineage and glossary terms leave through an open API or only as flat files.
Count assets against Collate's 500-asset free plan before assuming it covers a pilot.
If documents and files must be governed, confirm unstructured coverage, which erwin and Google's catalog both state.
What goes wrong most often when buying data catalog software
Running the catalog as an engineering project and expecting business users to fill in the glossary afterwards.
Picking Microsoft Purview for a multi-cloud estate when it is built for Azure and Microsoft 365.
Evaluating Secoda or data.world as independent products after their acquisitions by Atlassian and ServiceNow.
Self-hosting OpenMetadata to avoid licence fees without budgeting for the ongoing operational work.
07
Frequently asked questions
8 answers
What is the best data catalog software in 2026?
eccenca Corporate Memory leads our ranking of 11. eccenca's Corporate Memory models an organisation's data and business rules as a semantic knowledge graph rather than a flat catalog table, with a stated goal of making the result explainable enough for AI systems built on top of it to be trusted.
Low-code tooling is aimed at subject-matter experts rather than only data engineers, which is a genuine differentiator from the more developer-first tools on this list. It is a smaller, German-only-headquartered company with no published pricing and a smaller public profile than the venture-funded US and Singapore competitors here.
Which data catalog tools publish their pricing?
4 of the 11, with the pricing model each one publishes:
eccenca Corporate Memory: Quote-only, no published tiers; a free community edition sandbox (eccenca.my) lets you try it before a demo.
OpenMetadata: Free self-hosted open source; Collate's managed tier has a free plan (5 users, 500 assets), Premium and Enterprise are quote-only.
Microsoft Purview Unified Catalog: Free tier covers browse and search of Azure and Fabric sources up to 1,000 annotated assets; enterprise is consumption-based, billed per governed asset per day plus Data Governance Processing Units for data-quality rules, with published pay-as-you-go rates.
Google Cloud Knowledge Catalog: Pay-as-you-go with published rates per DCU-hour of processing and per GiB of metadata storage; 100 DCU-hours of standard processing a month are free.
The other 7 quote per organisation.
Is there a free data catalog tool?
OpenMetadata, Microsoft Purview Unified Catalog offer a free tier or a free self-hosted edition.
Where are these data catalog software vendors established?
In 6 countries across 4 regions: North America 6, Europe 2, Elsewhere 2, Asia-Pacific 1.
eccenca Corporate Memory: Germany.
OpenMetadata: United States.
Secoda: Not stated by the vendor.
Atlan: Singapore.
Alation: United States.
DataGalaxy: France.
erwin Data Intelligence: United States.
Collibra: Belgium / United States (dual HQ).
data.world: United States.
Microsoft Purview Unified Catalog: United States.
Google Cloud Knowledge Catalog: United States.
Which data catalog tools are open source?
OpenMetadata.
Which data catalog tools can you host yourself?
OpenMetadata. The other 10 are hosted by the vendor only.
What should you use instead of eccenca Corporate Memory?
OpenMetadata and Secoda are the next two on this page. OpenMetadata is for Open-source catalog, lineage and governance platform with a commercial managed tier from Collate; Secoda is for All-in-one catalog, governance and AI data analyst, acquired by Atlassian in December 2025.
Who should not buy eccenca Corporate Memory?
eccenca's Corporate Memory models an organisation's data and business rules as a semantic knowledge graph rather than a flat catalog table, with a stated goal of making the result explainable enough for AI systems built on top of it to be trusted.
Low-code tooling is aimed at subject-matter experts rather than only data engineers, which is a genuine differentiator from the more developer-first tools on this list. It is a smaller, German-only-headquartered company with no published pricing and a smaller public profile than the venture-funded US and Singapore competitors here.
If your data catalog software product belongs among these 11, tell us what it does and who it is for. Inclusion is an editorial call; what a listing is and is not is set out under software advice.
