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 Apache Storm — 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.
Storm 3.0 finishes removing the Clojure it was built in, and moves to a Java 21 baseline.
Storm is running two lines: a 2.8.x maintenance branch that is mostly Dependabot traffic punctuated by real security releases, and the new 3.0.0 line cut on 22 July. 3.0.0 removes all remaining Clojure from the codebase, raises the baseline to Java 21 (with master already on 25), and ships throughput work — zstd compression for thrift cluster state, tuple compression between workers, and decoupling of the control plane from the data plane on receive queues. The 2.8.6 and 2.8.7 releases earlier in the window carried four CVEs, including a deserialization RCE reachable by any user with topology submission rights.
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.
Storm is running two lines: a 2.8.x maintenance branch that is mostly Dependabot traffic punctuated by real security releases, and the new 3.0.0 line cut on 22 July. 3.0.0 removes all remaining Clojure from the codebase, raises the baseline to Java 21 (with master already on 25), and ships throughput work — zstd compression for thrift cluster state, tuple compression between workers, and decoupling of the control plane from the data plane on receive queues. The 2.8.6 and 2.8.7 releases earlier in the window carried four CVEs, including a deserialization RCE reachable by any user with topology submission rights.
The project is converting itself from a legacy JVM codebase into an ordinary modern Java one, and the 3.0 work shows where that energy goes next: scheduling and queueing. Recent PRs add AIMD dynamic batch sizing to JCQueue, jitter metrics and a jitter-aware stream grouping, round-robin rebalance onto returning supervisors, and several fixes for stale or orphaned worker heartbeats. Alongside that, the distribution is being slimmed — optional Hadoop and Kafka dependencies were unbundled and shared jars de-duplicated. The 2.x branch is being kept alive for security and dependency currency, not for features.
Expect 3.0.x point releases to concentrate on the scheduler and worker-lifecycle fixes that 3.0.0 opened up, and expect the 2.8.x line to keep receiving CVE backports while feature work stays on 3.x. The Java 25 baseline already on master suggests the next minor will move the floor again.
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 Apache Storm.
Omni ships weekly, and almost every week the headline item is an AI feature
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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
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Amundsen's last release was a config flag, and the feed has been silent for two years
See all Apache Cloudberry alternatives → · See all Apache Storm alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apache Storm is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. 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 Storm is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. 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 Apache Storm alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Storm alternatives" section above for the current picks, or visit /alternatives/storm for the full list with editorial commentary on each.