OpenObserve
OpenObserve ships v1.0.0 GA after a five-RC stabilization run, making its enterprise observability play official.
Comparison · Analytics
OpenHouse vs OpenMetadata
A side-by-side editorial comparison of OpenHouse and OpenMetadata — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:open-source
OpenHouse vs OpenMetadata: at a glance
What is OpenHouse?
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
OpenHouse (LinkedIn's managed Iceberg tables service) is shipping at a rapid v0.5.x pace with multiple improvements per week. Recent work spans three areas: storage lifecycle management (native snapshot expiration with reference age defaults, orphan file reclamation), authorization hardening (routing RTAS operations through proper table privilege checks), and the first scaffolding for Iceberg view support (entityType discriminator, table-scoped HTS queries).
What is OpenMetadata?
OpenMetadata 2.0.0 ships Dynamic Sampling by default and a full Data Quality overhaul.
OpenMetadata has shipped its 2.0.0 GA alongside continued 1.13.x maintenance. The headline change in 2.0.0 is defaulting to Dynamic Sampling in the Profiler — 100% table scans are out, which meaningfully reduces compute cost on large tables. Cardinality metrics are no longer collected by default. MCP is now a first-class service entity with OAuth, SAML SSO, and usage analytics. The 1.13.x branch remains active for teams not yet migrating.
OpenHouse vs OpenMetadata: editorial side-by-side
OpenHouse
6.3ANALYTICS
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
◆ Current state
OpenHouse (LinkedIn's managed Iceberg tables service) is shipping at a rapid v0.5.x pace with multiple improvements per week. Recent work spans three areas: storage lifecycle management (native snapshot expiration with reference age defaults, orphan file reclamation), authorization hardening (routing RTAS operations through proper table privilege checks), and the first scaffolding for Iceberg view support (entityType discriminator, table-scoped HTS queries).
◆ Where it's heading
The entityType discriminator in v0.5.490 is the most directional move in this window — it creates the data model prerequisite for treating views as first-class entities alongside tables, something OpenHouse has not supported. Storage lifecycle work is converging on Iceberg-native mechanisms, reducing custom expiration logic. The post-commit operations framework in v0.5.492 is infrastructure that will allow OpenHouse to add downstream hooks (compaction triggers, notifications) without catalog coupling.
◆ Prediction
Iceberg view read support will arrive in the next several releases, building on the discriminator and HTS scaffolding now in place. The authorization model for views will be an open question — watch whether they reuse the table ACL path or introduce a parallel model.
OpenMetadata
6.3ANALYTICS
OpenMetadata 2.0.0 ships Dynamic Sampling by default and a full Data Quality overhaul.
◆ Current state
OpenMetadata has shipped its 2.0.0 GA alongside continued 1.13.x maintenance. The headline change in 2.0.0 is defaulting to Dynamic Sampling in the Profiler — 100% table scans are out, which meaningfully reduces compute cost on large tables. Cardinality metrics are no longer collected by default. MCP is now a first-class service entity with OAuth, SAML SSO, and usage analytics. The 1.13.x branch remains active for teams not yet migrating.
◆ Where it's heading
OpenMetadata 2.0.0 shifts the platform toward cost-aware data quality by default — this is a philosophical change, not just a feature: the assumption is no longer that you scan everything. MCP as a first-class service category signals intent to be the metadata and observability layer for AI pipelines, not just traditional BI/warehouse workflows.
◆ Prediction
Post-2.0.0 development will focus on the MCP service layer and AI pipeline observability. Expect deeper integration between the Profiler's Dynamic Sampling and cost estimation, and broader MCP adapter coverage. The 1.13.x branch will likely enter long-term-support status within one or two more maintenance releases.
Alternatives to OpenHouse and OpenMetadata
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either OpenHouse or OpenMetadata.
dbt Core
dbt 2.0 ships stable with an official OSS/proprietary split and agentic skill loading
Fulcrum
Fulcrum ships MCP server and AI Toolkit to let AI assistants build and query field data forms
Holistics
Holistics builds AI governance and docs-as-analytics in parallel, shipping both weekly
Lightdash
Lightdash is cutting its dbt dependency and building AI-powered authoring into every layer of its BI stack.
Keboola
Keboola's Kai AI assistant hits GA, completing the pivot from data platform to AI-native pipeline orchestration layer.
See all OpenHouse alternatives → · See all OpenMetadata alternatives →
Recent activity from OpenHouse and OpenMetadata
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18h agoOpenHousev0.5.492: Add a generic bounded post commit operations framework (#729)
- 5d agoOpenHousev0.5.491
- 5d agoOpenHousev0.5.490: Add entityType discriminator and table-scoped HTS queries (#696) ⚡
- 7d agoOpenHousev0.5.489: Backfill history.expire.max-ref-age-ms with Snapshot Expiration (#708)
- 12d agoOpenHousev0.5.488: [RTAS] Use table privileges for replacement (#711)
- 13d agoOpenHousev0.5.487
- 13d agoOpenMetadataOpenMetadata 1.13.5: Connector and Security Maintenance
- 14d agoOpenMetadataOpenMetadata 2.0.1: Post-GA Maintenance
- 23d agoOpenMetadata2.0.0-release ⚡
- 23d agoOpenMetadataOpenMetadata 1.13.4: Connector and Security Maintenance
- 1mo agoOpenMetadataOpenMetadata 2.0.0 RC2 (Dev/Test Only)
- 1mo agoOpenMetadataOpenMetadata 1.13.3: Governance and Connector Fixes
Frequently asked questions
What is the difference between OpenHouse and OpenMetadata?
Both compete on the same themes — open-source — within Analytics. OpenHouse and OpenMetadata are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is OpenHouse better than OpenMetadata?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse and OpenMetadata are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to OpenHouse?
Top OpenHouse alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenHouse alternatives" section above for the current picks, or visit /alternatives/openhouse for the full list with editorial commentary on each.
What are the best alternatives to OpenMetadata?
Top OpenMetadata alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenMetadata alternatives" section above for the current picks, or visit /alternatives/openmetadata for the full list with editorial commentary on each.