Omni
Omni ships weekly, and almost every week the headline item is an AI feature
A side-by-side editorial comparison of Apache Cloudberry and Marquez — release velocity, themes, recent moves, and the top alternatives to consider.
An MPP warehouse fork grinding through ASF incubation, one release candidate at a time
Apache Cloudberry is a Greenplum-derived MPP data warehouse working through Apache incubation. Its release feed is procedural rather than editorial: each version ships as a tag with download links, checksum instructions and a contributor roll, while the actual changelog lives off-site on cloudberry.apache.org. The 2.1.0-incubating release in May 2026 is the most recent general release, preceded by two release candidates.
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Marquez is the reference metadata server for OpenLineage, and this window captures a concentrated push on its web interface: a column-lineage page and redesigned lineage graph in 0.45.0, data quality and job status displays in 0.47.0, and a data observability dashboard in 0.50.0 showing event stats over 24-hour and 7-day windows with per-source, per-dataset and per-job views. The API side moved in step — job tagging, dataset schema versions, paging on jobs and dataset versions, job-to-job lineage, richer metrics labels. One contributor accounts for nearly all the web work in these entries. Note that the 0.45 through 0.49 releases were all stamped within three minutes of each other and in reverse version order, so publication timestamps here do not reflect release order.
Apache Cloudberry is a Greenplum-derived MPP data warehouse working through Apache incubation. Its release feed is procedural rather than editorial: each version ships as a tag with download links, checksum instructions and a contributor roll, while the actual changelog lives off-site on cloudberry.apache.org. The 2.1.0-incubating release in May 2026 is the most recent general release, preceded by two release candidates.
The cadence has shifted from the 2024 weekly-build era to a slower, more formal release train: two or three release candidates, then a general release roughly every eight months. That is the shape of a project optimizing for ASF graduation criteria — reproducible builds, signed artifacts, documented voting — rather than for feature velocity. The contributor list is broad and stable across releases, which suggests a real multi-vendor community rather than a single-sponsor project.
Expect a 2.2.0 release-candidate series to open on a similar multi-month cycle. Whether the project exits incubation in that window is not something these release notes indicate either way.
Marquez is the reference metadata server for OpenLineage, and this window captures a concentrated push on its web interface: a column-lineage page and redesigned lineage graph in 0.45.0, data quality and job status displays in 0.47.0, and a data observability dashboard in 0.50.0 showing event stats over 24-hour and 7-day windows with per-source, per-dataset and per-job views. The API side moved in step — job tagging, dataset schema versions, paging on jobs and dataset versions, job-to-job lineage, richer metrics labels. One contributor accounts for nearly all the web work in these entries. Note that the 0.45 through 0.49 releases were all stamped within three minutes of each other and in reverse version order, so publication timestamps here do not reflect release order.
The arc is a backend project growing a front end: lineage data that existed in the API was progressively given pages, panels and paging, and by 0.50.0 the framing had shifted from lineage graph to observability dashboard. Tagging deepened in the same period, moving from dataset tags to field-level tags to job tags. That arc stops abruptly — 0.50.0 in October 2024 is the last entry, with nothing published in the roughly two years since.
The entries give no roadmap signal past 0.50.0, and the job-to-job lineage change was explicitly framed as a prompt for a wider parent/child hierarchy discussion that no later release picks up, so that hierarchy work is best read as unfinished rather than planned.
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 Apache Cloudberry or Marquez.
Omni ships weekly, and almost every week the headline item is an AI feature
Four ODD Platform releases in two weeks, and not one of them changes the product
Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Deequ ships GitHub tags whose release notes are one commit message long
Amundsen's last release was a config flag, and the feed has been silent for two years
LinkedIn's Iceberg control plane, shipping one pull request per release.
See all Apache Cloudberry alternatives → · See all Marquez alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apache Cloudberry and Marquez are shipping at a similar cadence (velocity 0.0 vs 0.0, 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Cloudberry and Marquez are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Apache Cloudberry alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Cloudberry alternatives" section above for the current picks, or visit /alternatives/apache-cloudberry for the full list with editorial commentary on each.
Top Marquez alternatives in Analytics are ranked by recent ship velocity. Browse the "Marquez alternatives" section above for the current picks, or visit /alternatives/marquez for the full list with editorial commentary on each.