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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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Aditya K.
AK
Aditya K.
Lead Software Engineer at airtel X Labs |EX-Atlassian|Ex-Cloudera|Ex-Barclays|Ex-Infosys
08/19/2022
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Verified Current User
Review source: G2 invite
Incentivized Review

Datahub for metadata sourcing

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
Vipin S.
VS
Vipin S.
Senior Software Engineer || IAM And ITIL Foundation Certified || Identity Management || ISO 27001:2013 Information Security Professional ||
08/18/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Datahub review

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

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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