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Should I use DataHub?

DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets. Unlock data intelligence today. - datahubproject.io

Depends. Buy if you are a mid-to-large data organization that needs lineage and governance and has engineers to run it. Skip if you are a small team wanting a lightweight, plug-and-play catalog with published pricing.

Confidence

Medium. Based on ~20 public sources: reviews, Reddit threads, pricing pages, CVE databases, and funding news. Some snippets truncated; cloud pricing not published.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo support reviews in sources
  • Security posture

Pricing

Free

Open Source

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes
DataHub CloudCustom quote

Best for

  • Mid-to-large data teams
  • Multi-source warehouses needing lineage
  • Engineering-led orgs okay self-hosting
  • Companies prepping data for AI

Not for

  • Small teams with a handful of tables
  • Orgs with no dedicated data engineers
  • Buyers wanting transparent published pricing
  • Non-technical teams wanting plug-and-play

Gotchas - check before you buy

high

Open source is free software, not free operation — you host, patch, and staff it.

high

Self-hosted deployments carry the CVE patch burden; several 2026 CVEs need prompt upgrades.

medium

Cloud tiers are quote-based; expect sales negotiation before seeing real numbers.

medium

Community threads suggest leadership often underestimates total catalog spend before rollout.

Pros and cons

Pros

  • Free open-source core used by thousands
  • Broad coverage: discovery, lineage, governance, observability, AI context
  • Connector library for many data platforms, e.g. Hive
  • Reviewers describe it as simple and easy to use
  • Well-funded and actively developed: $35M Bessemer-led Series B

Cons

  • Some practitioners bluntly advise skipping DataHub
  • Multiple 2026 CVEs, including a blind SSRF
  • Cloud pricing is quote-only; no published rates
  • Open-source route hides real costs: infra, upgrades, patching

Sources & method

Analyzed 10/04/2026 - 11 sources - Multiple CVEs disclosed in 2026, including a blind SSRF; GitHub Security Lab audited the project in 2023.

official x3review x4security x3news x1
  • Blind SSRF (CWE-918) in DataHub image retrieval path, CVE-2026-50775, disclosed August 2026.
  • CVE-2026-65690, Disclosed July 23, 2026; details in NVD record.
  • CVE-2026-65688, Disclosed July 23, 2026; details in NVD record.
  • CVE-2026-44501, Vulnerability identified in DataHub, tracked May 2026.
  • Unrestricted file upload in OS DataHub maps plugin, CVE-2026-1730, disclosed February 2026 via Rapid7.

Key stats

  • Value for money: 4/5

    Rating

  • Free

    Starting price

  • 11

    Sources

  • Analyzed

  • Value for money: 4/5. Free core; cloud is quote-based
  • Ease of use: 4/5. Reviewers call it simple, easy
  • Feature depth: 5/5. Lineage, governance, observability, AI context
  • Support quality. No support reviews in sources
  • Security posture: 2/5. Multiple 2026 CVEs, incl. SSRF
  • 4.3/5 G2 rating 22 reviews
  • Yes Free tier Open-source core
  • $35M Funding Series B, Bessemer-led (May 2025)
  • 5 2026 CVEs Incl. blind SSRF; patch promptly

Pricing

Open Source

Free

  • Self-hosted catalog and lineage
  • Full ingestion framework
  • Community support

DataHub Cloud

Not disclosed

  • Managed hosting and support
  • Enterprise governance features
  • Available via AWS Marketplace

Security

Multiple CVEs disclosed in 2026, including a blind SSRF; GitHub Security Lab audited the project in 2023.

  • Blind SSRF (CWE-918) in DataHub image retrieval pathCVE-2026-50775, disclosed August 2026.10
  • CVE-2026-65690Disclosed July 23, 2026; details in NVD record.⁹
  • CVE-2026-65688Disclosed July 23, 2026; details in NVD record.
  • CVE-2026-44501Vulnerability identified in DataHub, tracked May 2026.
  • Unrestricted file upload in OS DataHub maps pluginCVE-2026-1730, disclosed February 2026 via Rapid7.

What users say

Reviews lean positive on usability and breadth, but some data engineers publicly recommend alternatives or skipping it.

“DataHub is simple to use...”
G2 review
“DataHub is easy to use a...”
Gartner review
“Skip DataHub - fork it o...”
Reddit, r/dataengineering

Alternatives

Compare DataHub with each alternative.

  • OpenMetadata

    Open-source catalog rival; frequent head-to-head comparison

  • Atlan

    Managed catalog; popular alternative in Reddit threads

    DataHub vs Atlan
  • Dataedo

    Lighter-weight catalog for smaller teams

Companies that use it

  • Aiven
  • Cloudsmith
  • Intus Care
  • ReversingLabs
  • LinkedIn
Full analysis

Based on ~20 public sources: reviews, Reddit threads, pricing pages, CVE databases, and funding news. Some snippets truncated; cloud pricing not published.

Powerful open-source data catalog for serious data teams; overkill and operationally heavy for small teams. Patch CVEs fast.

Methodology

Based on ~20 public sources: reviews, Reddit threads, pricing pages, CVE databases, and funding news. Some snippets truncated; cloud pricing not published.

Sources

  1. review
  2. review
  3. review
  4. review
  5. news
  6. official
  7. official
  8. official
  9. security
  10. security
  11. security

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