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Plex's analytics companion has spent a year shipping CVE fixes faster than features.
Comparison · Analytics
OpenMetadata vs Omni
A side-by-side editorial comparison of OpenMetadata and Omni — release velocity, themes, recent moves, and the top alternatives to consider.
OpenMetadata vs Omni: at a glance
What is OpenMetadata?
MCP servers became first-class governed assets in 1.13.0 — and 2.0 is now in release candidate.
OpenMetadata maintains two lines at once, 1.12.x and 1.13.x, and has just cut a 2.0.0 release candidate on top of them. The 1.13.0 feature release made MCP a first-class service category with service and server entities, execution logs, test-connection support, REST resources and UI pages, added usage analytics broken down by tool and user, and brought SAML SSO to MCP OAuth. Alongside it landed an RDF knowledge graph built on Apache Jena. Everything since has been maintenance on both lines, weighted heavily toward CVE patching.
What is Omni?
Omni ships weekly, and this quarter every week added something to the AI layer.
Omni publishes a dated digest every week, each bundling a handful of unrelated changes. Across the current window the AI work is continuous rather than occasional: AI Hub and Markdown columns reached general availability in May, visualization annotations in June, semantic model generation in July, with AI Routines gaining Slack support and chat-based creation along the way. The non-AI half is connection and embedding plumbing — OAuth for database connections, GitHub App and HTTPS deploy-token authentication for dbt, AccessBoost for Apps, embed display and timezone controls.
OpenMetadata vs Omni: editorial side-by-side
OpenMetadata
6.3ANALYTICS
MCP servers became first-class governed assets in 1.13.0 — and 2.0 is now in release candidate.
◆ Current state
OpenMetadata maintains two lines at once, 1.12.x and 1.13.x, and has just cut a 2.0.0 release candidate on top of them. The 1.13.0 feature release made MCP a first-class service category with service and server entities, execution logs, test-connection support, REST resources and UI pages, added usage analytics broken down by tool and user, and brought SAML SSO to MCP OAuth. Alongside it landed an RDF knowledge graph built on Apache Jena. Everything since has been maintenance on both lines, weighted heavily toward CVE patching.
◆ Where it's heading
The catalog is extending its governance model to cover AI tooling rather than just data assets — MCP servers get the same entity, connection-testing and usage-analytics treatment that databases and dashboards receive, and the RDF layer gives the metadata graph a standard query surface. Running underneath that is an unusually heavy security cadence: nearly every maintenance release in this window is a list of dependency CVEs across Jackson, Netty, Spring, log4j, handlebars, MLflow and PyArrow, patched in parallel on both maintained lines. The 2.0.0-rc1 tag suggests that dual-line burden is about to become a three-way one.
◆ Prediction
Expect 2.0.0 to move from rc1 through further release candidates while 1.13.x continues absorbing connector and governance fixes, and for CVE-driven patch releases to keep landing on both lines in near-lockstep.
Omni
6.3ANALYTICS
Omni ships weekly, and this quarter every week added something to the AI layer.
◆ Current state
Omni publishes a dated digest every week, each bundling a handful of unrelated changes. Across the current window the AI work is continuous rather than occasional: AI Hub and Markdown columns reached general availability in May, visualization annotations in June, semantic model generation in July, with AI Routines gaining Slack support and chat-based creation along the way. The non-AI half is connection and embedding plumbing — OAuth for database connections, GitHub App and HTTPS deploy-token authentication for dbt, AccessBoost for Apps, embed display and timezone controls.
◆ Where it's heading
Omni is putting AI underneath the modeling layer rather than beside the charts. Generating the semantic model is a different bet than generating a query: the semantic layer is where a BI tool encodes what its metrics mean, and automating it moves AI from answering questions to defining the vocabulary the answers use. The governance work is arriving in step — AI credit controls per embed entity group and per user, AI skills gated by required access grants, evals support — which is what a vendor builds when customers are embedding these features into products they resell.
◆ Prediction
Expect AI Routines to keep expanding their trigger surface after Slack and chat-based creation, and the credit controls to grow into fuller usage governance as embedded AI reaches more end users. The digest format means individually significant launches will keep arriving in the middle of a list of unrelated fixes.
Alternatives to OpenMetadata and Omni
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 OpenMetadata or Omni.
Delta Lake
Delta Lake is handing table authority to Unity Catalog — under a feed buried in Databricks build tags.
OpenCTI
OpenCTI ships weekly and is rebuilding its connector catalog into a marketplace.
Grafana Mimir
Mimir's feed is mostly bot-authored Helm bumps; the real release is 3.2, and it is query-engine work.
Fluent Bit
Fluent Bit runs a 4.2 and a 5.0 train side by side, both fed by the same backport pipeline.
Countly
Countly's core is in maintenance while every real feature lands in the enterprise journey engine.
See all OpenMetadata alternatives → · See all Omni alternatives →
Recent activity from OpenMetadata and Omni
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20h agoOmniAI credit controls for embeds, Evals on Azure
- 4d agoOpenMetadataSnowflake foreign-key collisions and governance workflow fixes
- 5d agoOpenMetadata2.0.0 enters release candidate, dev and test only
- 5d agoOpenMetadataMCP tool enhancements, log4j CVE patch, reindexing fixes
- 5d agoOpenMetadataMLflow, PyArrow and server dependency CVE patches
- 7d agoOmniAI semantic model generation reaches general availability ⚡
- 14d agoOmniAI model suggestion endpoints and database OAuth
- 21d agoOmniAI Routines reach Slack, MCP settings move in-app
- 25d agoOpenMetadataMCP becomes a first-class service category with usage analytics ⚡
- 28d agoOpenMetadataOpenSearch alias swap and reindex lock fixes
- 28d agoOmniAccessBoost for Apps and dbt deploy-token auth
- 1mo agoOmniAI visualization annotations GA, apps on by default
Frequently asked questions
What is the difference between OpenMetadata and Omni?
They serve adjacent needs but don't currently overlap on shipped themes. OpenMetadata and Omni 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 OpenMetadata better than Omni?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenMetadata and Omni 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 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.
What are the best alternatives to Omni?
Top Omni alternatives in Analytics are ranked by recent ship velocity. Browse the "Omni alternatives" section above for the current picks, or visit /alternatives/omni for the full list with editorial commentary on each.