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Datahub Reviews & Product Details

DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.

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Contiamo

Product Description

DataHub is an open-source metadata platform designed to streamline data discovery, observability, and governance within modern data ecosystems. It enables organizations to efficiently manage and understand their data assets by providing a centralized repository for metadata, facilitating seamless collaboration across teams. With its extensible architecture, DataHub integrates with over 70 native data sources, ensuring scalability and adaptability to diverse data environments. Key Features and Functionality: - Data Discovery: Empowers users to effortlessly locate and comprehend data assets through personalized search experiences tailored to various roles, such as business analysts, developers, data scientists, and data engineers. It offers comprehensive search capabilities across datasets, filtering by technical, operational, and business criteria, and integrates with BI tools via a Chrome extension. - Data Lineage: Provides detailed insights into data provenance with table, column, and job-level lineage graphs, enabling users to understand data flow and dependencies. This feature aids in identifying downstream consumers and facilitates collaboration across the data ecosystem. - Data Governance: Automates governance processes by classifying evolving assets, reducing manual effort through AI-driven documentation, classification, and intelligent propagation mechanisms. It ensures compliance and data quality by enforcing documentation standards and automating asset classification. - Observability: Enhances trust in data by detecting quality issues through automated checks and AI-driven anomaly detection. It notifies teams of issues and centralizes incident tracking, enabling swift resolution with detailed lineage, documentation, and ownership information. Primary Value and Problem Solved: DataHub addresses the complexities of managing rapidly evolving data ecosystems by providing a unified platform for metadata management. It solves common challenges such as data silos, lack of visibility into data assets, and inefficient collaboration among teams. By offering comprehensive data discovery, lineage tracking, governance, and observability features, DataHub empowers organizations to build confidence in their data, ensure compliance, and enhance productivity across data teams.

Overview by

Jonah Richman

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Datahub Media

Datahub Demo - Ask questions, get instant answers

The Ask DataHub chat agent delivers immediate answers to natural language questions about your data—right in DataHub, Slack, or Teams. Business users self-serve insights instead of waiting for engineers to trace problems manually.

Datahub Demo - Enforce standards automatically

Customizable compliance workflows enforce your governance standards automatically. Track certification status in real time and flag non-compliant assets before they reach production.

Datahub Demo - Generate documentation automatically

DataHub AI examines schema, relationships, and usage patterns to generate detailed docs. Then, formats everything to match your custom standards. Plus, you can upload attachments to keep all context in one place.

Datahub Demo - Connect AI agents directly to your data stack

Enable AI tools like Claude, Cursor, and Windsurf to search your data ecosystem with the DataHub MCP Server. AI agents query metadata, traverse lineage, and assess quality programmatically.

Datahub Demo - Proactively monitor data quality

Define schema, freshness, volume, and custom quality checks that run automatically across hundreds of columns. Smart alerts fire to owners when data deviates from expected patterns with complete lineage and suggested actions that accelerate resolution.

ML-powered anomaly detection spots unexpected patterns in data volume, distribution, and quality metrics. Machine learning models identify issues that rule-based checks miss.

Datahub Reviews (8)

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Kessie M.

Data Entry Specialist - VA

Small-Business (50 or fewer emp.)

1/29/2025

"Easy and Efficient Tool!"

4.5/5

What do you like best about Datahub?

DataHub is simple to use and helps keep my data organized. It’s great for sharing and managing datasets, and the version control is a big plus. I’d definitely recommend it! Review collected by and hosted on G2.com.

What do you dislike about Datahub?

Performance with Large Datasets:

Sometimes, handling really large datasets can slow things down or be more cumbersome than expected. Review collected by and hosted on G2.com.

Siddharth N.

Senior Consultant

Mid-Market (51-1000 emp.)

1/26/2025

"Easy to use data Catalog tool"

4/5

What do you like best about Datahub?

It's an easy to use open source data catalog tool which helps solves the complex data lineage. Review collected by and hosted on G2.com.

What do you dislike about Datahub?

Lacks support for DBT and test integrations Review collected by and hosted on G2.com.

Verified User in Computer & Network Security

Mid-Market (51-1000 emp.)

3/24/2023

"Finding Lineage in easy and Best Way"

5/5

What do you like best about Datahub?

Ease of use and Connectivity with 3rd Party Tools Review collected by and hosted on G2.com.

What do you dislike about Datahub?

Nothing as Serious, but integration with more analytics tools will be added advantage Review collected by and hosted on G2.com.

Verified User in Financial Services

Mid-Market (51-1000 emp.)

10/31/2023

"Great open source for starters"

4/5

What do you like best about Datahub?

Easy to setup

Connected to wide number of tools

Free to use - Open source Review collected by and hosted on G2.com.

What do you dislike about Datahub?

- Cannot integrate data quality tests

- Support for dbt Review collected by and hosted on G2.com.

Or S.

Mid-Market (51-1000 emp.)

7/5/2023

"The beginning of deploying Datahub(especially metadata and docs) in our organization"

3.5/5

What do you like best about Datahub?

I think the UI is making total sense. Almost every dataset from any platform we have looks the same on the UI, which is helping a lot with the adoption of this product.

I think that the ability to map every data source and their lineage is extremely important for big organizations and can save lots of time for our employees. Review collected by and hosted on G2.com.

What do you dislike about Datahub?

The thing with Datahub is that you have to put in some amount of time just to see if it can give your users value.

and sometimes the work must come from the owners of the data(and not the Datahub owners) who don't necessarily have a clear interest in that work. Review collected by and hosted on G2.com.

Ada D.

Mid-Market (51-1000 emp.)

6/2/2023

"Sweet spot between features and pricing"

5/5

What do you like best about Datahub?

When we were tasked with choosing a data cataloging solution, we compared several different companies, and no competitor came close to Acryl. Other solutions had slightly more features but came with a significantly higher cost and weren't open-source. Review collected by and hosted on G2.com.

What do you dislike about Datahub?

The UI can feel clunky sometimes, but I appreciate how difficult it is to build a general-purpose UI to display datasets from so many different possible sources. Review collected by and hosted on G2.com.

Aditya K.

Lead Software Engineer

Enterprise (> 1000 emp.)

8/17/2022

"Datahub for metadata sourcing"

4.5/5

What do you like best about Datahub?

Datahub is opensource so you do not have pay for any licence. Datahub is by far the best for metadata analysis and lineage because it supports applications from different stack (both opensource and paid) and you can capture and analyse metadata, create lineages under a single ui. The ones that we have integrated with Datahub is spark, kafka , mongoDB, psql, elasticsearch,hive, big query and oracle Review collected by and hosted on G2.com.

What do you dislike about Datahub?

So far, i have not found anything to dislike as this solution basically overcomes the limitations of other data governance services like Atlas, Cloudera Navigator etc. Review collected by and hosted on G2.com.

Vipin S.

Senior Software Engineer

Enterprise (> 1000 emp.)

8/18/2022

"Datahub review"

5/5

What do you like best about Datahub?

Datahub provides best service to integrate with all your systems and web applications. It's provides ability to make an easy system without any complexity which helps our users to do their day to day activities Review collected by and hosted on G2.com.

What do you dislike about Datahub?

It's hard to find supportive documents and help from the website and sometimes support is not provided within the stipulated SLA which impacts production and ability to deliver Review collected by and hosted on G2.com.