Teams already standardizing on Datadog observability who are willing to bet on the Metaplane + Datadog integration roadmap, and who want catalog plus observability under one vendor.
Pure-play catalog buyers (Atlan, Secoda, Select Star clearer), regulated enterprises (Collibra deeper), or buyers who want explicit standalone roadmap commitments.
Is Metaplane a trustworthy vendor?
- 2023-03-21$14M Series A closed (Khosla Ventures-led)
- 2024-10-08Acquired by Datadog (terms undisclosed)Datadog folded Metaplane into the broader observability platform; standalone catalog roadmap has not been publicly clarified.
- 2025-04-30Datadog Data Observability tier announcedMetaplane capabilities bundled into Datadog SKU; pre-acquisition customer migration underway.
- 2026-02-11Standalone catalog roadmap still not publicly clarifiedEditorial concern: catalog buyers should confirm standalone product commitments in writing.
What 75 reviews actually say
Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.
Praise patterns
- Strong observability and freshness monitoring78% →
- Column-level lineage works well on warehouse query logs64% →
- AI-assisted documentation useful for backlog cleanup47% →
- Slack-first alerting reduces context switching38% →
Complaint patterns
- Post-Datadog acquisition product strategy unclear78% ↑
- Pricing opaque under Datadog SKU model51% ↑
- Risk of being folded into broader observability rather than maintained as catalog47% ↑
- Catalog buyers may prefer pure-play vendors31% ↑
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“We loved Metaplane pre-acquisition. Post-Datadog, we are waiting to see if the catalog stays a real product or becomes a feature inside Datadog.”
Head of Data Platform, B2B SaaS· Reddit r/dataengineering · 2026-03-08
What buyers actually pay
41 anonymized deal disclosures · last updated 2026-05-01
| Company size | Median annual |
|---|---|
| 100-500 employees | $36,000 |
| 500-2,000 employees | $96,000 |
| 2,000+ employees | $240,000 |
Auto-verified certifications
Editorial: Strengths
- Strong observability and freshness-monitoring heritage
- Column-level lineage parsed from warehouse query logs
- Useful AI-assisted documentation
- Datadog acquisition (Oct 2024) means deeper pockets and infra
- Slack-first collaboration
- Modern stack-native (Snowflake, BigQuery, dbt, Looker)
Editorial: Weaknesses
- Post-Datadog acquisition product strategy unclear as of May 2026
- Standalone catalog roadmap has not been publicly clarified
- Pricing opaque under Datadog SKU model (Datadog billing complexity is its own thing)
- Risk of being folded into broader Datadog observability rather than maintained as catalog
- Catalog buyers may prefer pure-play vendors with clear catalog roadmap
Key features & integrations
- +Data observability (freshness, volume, schema, lineage)
- +Column-level lineage
- +AI-assisted documentation
- +Catalog discovery surface
- +Slack-first alerting
- +Anomaly detection on metric monitors
- +Datadog integration (post-acquisition)
Read our full ranking of Data Catalog Software
Metaplane ranks #8 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
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