Engineering-led data platform teams (200-50,000 employees) with DevOps capacity, or enterprises wanting open-source insurance with optional managed cloud (Acryl Cloud).
SMBs without DevOps capacity (Secoda or Atlan easier), regulated buyers needing formal governance workflows (Collibra deeper), or teams wanting time-to-value in days.
Is DataHub a trustworthy vendor?
- 2020-08-04DataHub open-sourced from LinkedIn
- 2022-04-20$26M Series A for Acryl DataRound led by 8VC; Acryl Data positioned as commercial entity behind DataHub.
- 2024-06-12Acryl Cloud GA across regions
- 2025-09-30DataHub 1.0 milestone releaseStabilized metadata graph and lineage parity across major warehouse and BI integrations.
What 85 reviews actually say
Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.
Praise patterns
- Production-grade open source with real corporate sponsor87% →
- Strong engineering-led adoption and community velocity71% →
- Broad connector ecosystem out of the box51% →
- Apache 2.0 license, no rug-pull risk on the core41% →
Complaint patterns
- Self-hosted requires meaningful DevOps capacity71% →
- UI and onboarding less polished than Atlan and Secoda51% →
- Two-track product (OSS vs Acryl Cloud) creates feature friction38% →
- Acryl Cloud pricing opaque31% →
-
“We ran DataHub OSS for 18 months on Kubernetes, then moved to Acryl Cloud. The OSS was great. The infra cost was higher than the managed bill.”
Staff Platform Engineer, marketplace· Reddit r/dataengineering · 2026-03-04
What buyers actually pay
58 anonymized deal disclosures · last updated 2026-05-01
| Company size | Median annual |
|---|---|
| 200-1,000 employees | $72,000 |
| 1,000-5,000 employees | $192,000 |
| 5,000+ employees | $480,000 |
Auto-verified certifications
Editorial: Strengths
- Production-grade open source with real corporate sponsor (Acryl Data)
- Strong engineering-led adoption (LinkedIn, Saxo, AirAsia, Pinterest references)
- Broad connector ecosystem
- Active metadata graph architecture
- Apache 2.0 license; no rug-pull risk on the core
- Acryl Cloud managed offering for teams without DevOps capacity
- Strong community contribution velocity
Editorial: Weaknesses
- Self-hosted requires meaningful DevOps capacity (Kafka, Elasticsearch, MySQL)
- Acryl Cloud pricing opaque; enterprise floor typical
- UI and onboarding less polished than Atlan and Secoda
- Governance depth still trails Collibra at the high enterprise tier
- Two-track product (OSS and Acryl Cloud) creates feature parity friction
Key features & integrations
- +Active metadata graph
- +Column-level lineage
- +Data quality assertions (DataHub Actions)
- +Business glossary and ontology
- +Search and discovery
- +Stewardship workflows
- +Open-source with Apache 2.0 license
- +Acryl Cloud managed offering
Read our full ranking of Data Catalog Software
DataHub ranks #7 in our editorial review of 10 data catalog software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.
Read the full rankingClosest alternatives in Data Catalog Software
Contribute your verified deal price
Pricing in B2B software is opaque because vendors want it that way. Verified buyer prices fix that, anonymously. Share what you actually paid for DataHub; we’ll add it to the verified pricing dataset on this page (with company size band only, no identifying details).
Submit anonymously