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DataHub

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8 reviews
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Average star rating
4.4
Serving customers since
2013
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DataHub

8 reviews

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.

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Verified User in Computer & Network Security
UC
Verified User in Computer & Network Security
05/07/2024
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Finding Lineage in easy and Best Way

Ease of use and Connectivity with 3rd Party Tools
Or  S.
OS
Or S.
07/05/2023
Validated Reviewer
Review source: Organic

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

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.
Ada D.
AD
Ada D.
06/02/2023
Validated Reviewer
Verified Current User
Review source: Organic

Sweet spot between features and pricing

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.

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HQ Location:
Palo Alto, California

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@DataHubCloud

What is DataHub?

DataHub is a metadata platform company that provides a comprehensive solution for data and AI metadata management. Its flagship offering, DataHub Cloud, is a fully managed SaaS data catalog and metadata platform designed to help enterprises discover, understand, govern, observe, and operationalize metadata across complex data ecosystems. Built on the open-source DataHub metadata project, the company’s platform unifies data discovery, lineage, governance, and AI-ready context management to support modern analytics and AI initiatives. Enterprises use DataHub to improve data quality, accelerate discovery, support compliance, and make metadata actionable in real time.

Details

Year Founded
2013
Website
datahub.com