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Comparison · Analytics
dbt Core vs Apache Storm
A side-by-side editorial comparison of dbt Core and Apache Storm — release velocity, themes, recent moves, and the top alternatives to consider.
dbt Core vs Apache Storm: at a glance
What is dbt Core?
dbt's 1.x releases now point users at v2 straight from the command line.
dbt 2.0 GA split the project into a proprietary 'dbt' binary and dbt-oss, and the 2.0 dev channel has since added read-only Databricks Unity Catalog access through Lake Compute. The 1.x line is still shipping: 1.13.0b1 adds an opt-in --use-v2-parser that hands parsing to the Fusion parser, and today's 1.12.6 prints a v2 availability notice on dbt --version and relays Fusion parser logs through the otel log format.
What is Apache Storm?
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.
dbt Core vs Apache Storm: editorial side-by-side
dbt Core
6.3ANALYTICS
dbt's 1.x releases now point users at v2 straight from the command line.
◆ Current state
dbt 2.0 GA split the project into a proprietary 'dbt' binary and dbt-oss, and the 2.0 dev channel has since added read-only Databricks Unity Catalog access through Lake Compute. The 1.x line is still shipping: 1.13.0b1 adds an opt-in --use-v2-parser that hands parsing to the Fusion parser, and today's 1.12.6 prints a v2 availability notice on dbt --version and relays Fusion parser logs through the otel log format.
◆ Where it's heading
The 1.x branch is being turned into an on-ramp for v2: a PyPI banner in 1.12.5, a CLI notice in 1.12.6, deprecated-version warnings and the Fusion parser opt-in in 1.13. Meanwhile 2.0 work concentrates on adapter parity (ClickHouse, Databricks) and Lake Compute.
◆ Prediction
Expect 1.13 to reach GA with the v2 parser opt-in and more migration prompts, and 2.0.x to extend Lake Compute past read-only Unity access. The entries don't show an end-of-life date for 1.x.
Apache Storm
6.3ANALYTICS
Storm 3.0 finishes removing the Clojure it was built in, and moves to a Java 21 baseline.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to dbt Core and Apache Storm
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 dbt Core or Apache Storm.
OpenReplay
OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.
Basedash
Basedash automations can now attach scheduled CSV exports to Slack and email.
OpenPanel
OpenPanel tags three more note-free builds in one evening, reaching 3.16.4.
Fulcrum
Fulcrum turns on Insights, its AI assistant for field data, for every customer.
Holistics
Holistics lets admins put a key dashboard on everyone's Home page.
See all dbt Core alternatives → · See all Apache Storm alternatives →
Recent activity from dbt Core and Apache Storm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agodbt Coredbt 1.12.6 points users to v2 and fixes Fusion parser logging
- 15d agodbt Coredbt 1.11.16 fixes nested wildcard selectors, adds tarball path check
- 15d agodbt Coredbt-core 1.13 beta adds opt-in Fusion parser and dbt login
- 1mo agodbt CoreLake Compute gains Databricks Unity Catalog read access
- 1mo agodbt Coredbt v2.0.0 ⚡
- 1mo agodbt Coredbt v1.12.5
- 3mo agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21 ⚡
- 3mo agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
- 3mo agoApache Storm2.8.8 backports a Kafka topology-lag fix
- 6mo agoApache StormTwo TLS CVEs fixed: JVM-wide downgrade and auth bypass
- 6mo agoApache StormDeserialization RCE and stored XSS in the UI are fixed
- 7mo agoApache Storm2.8.5 is dependency upgrades plus small logging fixes
Frequently asked questions
What is the difference between dbt Core and Apache Storm?
They serve adjacent needs but don't currently overlap on shipped themes. dbt Core and Apache Storm 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 dbt Core better than Apache Storm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbt Core and Apache Storm 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 dbt Core?
Top dbt Core alternatives in Analytics are ranked by recent ship velocity. Browse the "dbt Core alternatives" section above for the current picks, or visit /alternatives/dbt-core for the full list with editorial commentary on each.
What are the best alternatives to Apache Storm?
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.