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Comparison · Analytics
Apache Storm vs Tinybird
A side-by-side editorial comparison of Apache Storm and Tinybird — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Storm vs Tinybird: at a glance
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.
What is Tinybird?
Tinybird is retiring Classic on a clock while stacking capability into Forward
Releases arrive weekly and the through-line is the migration from Classic to Forward. Classic is now scheduled for sunset on Free and Developer plans by September 15, following the BI Connector's end of life and the earlier migrate-to-forward CLI command. Forward is where capability accumulates: DynamoDB connectivity, PREWHERE, lightweight deletes in beta, arm64-native local runs and a ClickHouse bump from 25.3 to 25.8.
Apache Storm vs Tinybird: editorial side-by-side
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.
Tinybird
6.3ANALYTICS
Tinybird is retiring Classic on a clock while stacking capability into Forward
◆ Current state
Releases arrive weekly and the through-line is the migration from Classic to Forward. Classic is now scheduled for sunset on Free and Developer plans by September 15, following the BI Connector's end of life and the earlier migrate-to-forward CLI command. Forward is where capability accumulates: DynamoDB connectivity, PREWHERE, lightweight deletes in beta, arm64-native local runs and a ClickHouse bump from 25.3 to 25.8.
◆ Where it's heading
Two things are happening in parallel, retiring the old platform on a published schedule while making the new one worth the move. Ingestion is the current focus and it is moving quickly, with v1 going from experimental in the CLI to the default for local files inside two weeks, and integer preservation and quarantine persistence fixed around it. The updated agent skills mentioned alongside the CLI work suggest the tooling is being shaped for agents as well as people.
◆ Prediction
September 15 is the next fixed milestone, and paid tiers are the obvious follow-on though these entries stop short of committing to a date for them. Expect v1 ingestion to keep widening from local files into the remaining paths now that it is the default for one of them.
Alternatives to Apache Storm and Tinybird
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 Tinybird.
Cortex
Cortex is betting on Parquet block storage and graduating years of experimental features.
NetObserv
NetObserv is layering TLS visibility and health alerting on top of its eBPF flow pipeline.
Apache StreamPark
Five release candidates in two years, none of them stable, and none since October 2025.
Apache HertzBeat
A monitoring project whose public release feed skips the release that mattered.
Axiom
Axiom is rebuilding observability so an AI agent, not a human, can be the first user.
See all Apache Storm alternatives → · See all Tinybird alternatives →
Recent activity from Apache Storm and Tinybird
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoTinybirdPersistent quarantine data and workspace usage trends
- 9d agoTinybirdv1 local file ingestion is now the default
- 16d agoTinybirdJSON ingestion preserves integer values
- 17d agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21 ⚡
- 17d agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
- 17d agoApache Storm2.8.8 backports a Kafka topology-lag fix
- 23d agoTinybirdTinybird Classic sunset for Free and Developer plans ⚡
- 1mo agoTinybirdImproved branch-based local development
- 1mo agoTinybirdLightweight deletes, Tinybird Local runs natively in arm64, and more
- 3mo agoApache StormTwo TLS CVEs fixed: JVM-wide downgrade and auth bypass
- 3mo agoApache StormDeserialization RCE and stored XSS in the UI are fixed
- 4mo agoApache Storm2.8.5 is dependency upgrades plus small logging fixes
Frequently asked questions
What is the difference between Apache Storm and Tinybird?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Storm and Tinybird 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 Apache Storm better than Tinybird?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Storm and Tinybird 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 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.
What are the best alternatives to Tinybird?
Top Tinybird alternatives in Analytics are ranked by recent ship velocity. Browse the "Tinybird alternatives" section above for the current picks, or visit /alternatives/tinybird for the full list with editorial commentary on each.