Huwise vs. Collibra
Discover why leading companies choose Huwise’s solution to manage their data products across the entire lifecycle, creating tangible value for business teams and AI systems.
Why deploy a [ data product marketplace ] ?
Data catalogs such as Collibra are essential for structuring metadata and governance. However, alongside this, data and AI leaders now expect their programs to deliver measurable value and real business impact. However, the marketplace features integrated into data catalogs are disappointing. To share and activate data at scale, organizations need a specialized solution such as Huwise that is capable of democratizing access to data for business teams and generative AI systems.
They chose Huwise
Huwise vs. Collibra
See Huwise in action!
Why [ Huwise ] over Collibra?
| User experience | Huwise | Collibra |
|---|---|---|
| Simple metadata search | ||
| AI-powered semantic search & discovery | ||
| Business glossary integrated into data exploration | ||
| Business-friendly, e-commerce style intuitive user experience Customizable look & feel |
||
| AI agent for data exploration | ||
| Collaborative features: feedback to drive improvements, reviews, and use case sharing |
| Access to raw data | Huwise | Collibra |
|---|---|---|
| Built-in, native data consumption tools: intuitive tabular exploration, customizable data views, multi-format exports, API console, favoriting | ||
| Sharing of all data asset types (datasets, visualizations including from Power BI, documents, maps, etc.) | ||
| Data collection form for data producers | ||
| MCP server to power all agentic/generative AI applications and models | ||
| Virtualization of data from third-party tools (such as Snowflake, Databricks, etc.) |
| Data product governance | Huwise | Collibra |
|---|---|---|
| Data control in line with usage and security policies | ||
| Granular management of access rights and permissions | ||
| Integration of data contracts associated with data products | ||
| Management of data product access requests | ||
| Publication and promotion of data products | ||
| Consumption and conversion analytics |
| ROI & performance | Huwise | Collibra |
|---|---|---|
| Rapid deployment within just a few weeks | ||
| Immediate, simple business user adoption | ||
| Maximizing ROI from third-party data solutions |
| Client satisfaction | Huwise | Collibra |
|---|---|---|
| Gartner Peer Insights |
4.8/5
|
4.3/5
|
| G2 |
4.7/5
|
4.2/5
|
| NPS (2025) |
64
|
–
|
“We have implemented Data Catalog and Marketplace in Collibra, but we are not happy. Adoption of the tool is low. People complain about its complex User Interface and lack of trust. We are seeking a new solution that makes discovering and using trusted data as easy as online shopping. One simple place where everyone can find reliable data products quickly and with confidence.”
Have further questions?
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A data catalog references and describes your data to make it easier to find.
A data marketplace goes further: it makes data accessible as consumable products for all business teams, with a seamless user experience and integrated distribution workflows.The Huwise data product marketplace solution also includes the standard features of a data catalog and can be used as a combined data marketplace/data catalog platform.
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A data product marketplace like Huwise centralizes, organizes, and distributes your data as true data products. It simplifies access, encourages reuse, and demonstrates business value by meeting the diverse needs of both business users and data experts.
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In the vast majority of cases, yes — including with Snowflake, Microsoft Power BI, Databricks, and many others.
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Gartner recommends “best-of-breed” data product marketplace solutions like Huwise, which are built to deliver on the key objective of opening up and scaling data access across the organization for all business teams.
Solutions such as Collibra are often functionally limited when it comes to delivering measurable value and ROI in marketplace use cases.
Huwise has been cited multiple times by Gartner as a leading solution in the data marketplace market.