ROOT
ROOT is shipping the pieces of its long-promised v7 inside the v6 release line
A side-by-side editorial comparison of Apache Storm and Apache Drill — release velocity, themes, recent moves, and the top alternatives to consider.
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.
A SQL-on-anything engine shipping rarely, but each release widens what it can reach
Drill releases roughly once a year, and the feed reflects an ASF project where minor versions are the events and patch releases carry no description beyond a pointer to release notes. The 1.22.0 release resets the platform floor to Java 11/17/21 and drops the Hadoop 2 distribution entirely. Underneath, the long-running theme is storage and format plugin breadth — HTTP, Splunk, XML, File — plus a steady stream of third-party library upgrades closing vulnerabilities.
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.
Drill releases roughly once a year, and the feed reflects an ASF project where minor versions are the events and patch releases carry no description beyond a pointer to release notes. The 1.22.0 release resets the platform floor to Java 11/17/21 and drops the Hadoop 2 distribution entirely. Underneath, the long-running theme is storage and format plugin breadth — HTTP, Splunk, XML, File — plus a steady stream of third-party library upgrades closing vulnerabilities.
Drill is consolidating around being a federated query layer rather than a Hadoop-ecosystem component. Eliminating the forked Calcite, adding INSERT support, and shipping a Drill-on-Drill storage plugin moved it from read-only explorer toward a queryable and writable federation tier; dropping Hadoop 2 finishes severing the original deployment assumption. Plugin count keeps growing faster than engine internals change.
The next release will likely continue the pattern of plugin additions plus dependency-driven security upgrades, with the modern-Java baseline now letting the project adopt libraries it previously had to hold back.
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 Storm or Apache Drill.
ROOT is shipping the pieces of its long-promised v7 inside the v6 release line
An IoT platform whose release notes have become a CVE ledger
Superset's tracked feed is a Helm chart tag stream with no notes attached.
Three releases in three weeks moved ApexCharts from free library to gated open-core.
Graphite's answer to its own CVE backlog is a pre-release nobody calls official.
Cortex is betting on Parquet block storage and graduating years of experimental features.
See all Apache Storm alternatives → · See all Apache Drill 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 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.
Top Apache Drill alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Drill alternatives" section above for the current picks, or visit /alternatives/apache-drill for the full list with editorial commentary on each.