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RStudio's first October patch is a branch merge, extending a long run of release-train upkeep.
Comparison · Analytics
Basedash vs Apache Storm
A side-by-side editorial comparison of Basedash and Apache Storm — release velocity, themes, recent moves, and the top alternatives to consider.
Basedash vs Apache Storm: at a glance
What is Basedash?
Basedash automations can now attach scheduled CSV exports to Slack and email.
Basedash automations can now attach a CSV on every run in Slack, or add a Download CSV link to email. Postgres, Supabase, Redshift, MySQL and PlanetScale connections gain a Verify server certificate option that checks the database's identity and hostname, including over SSH tunnels. Earlier in October came view-only members, a connector gallery, Slack DMs and an iPhone app.
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.
Basedash vs Apache Storm: editorial side-by-side
Basedash
5.0ANALYTICS
Basedash automations can now attach scheduled CSV exports to Slack and email.
◆ Current state
Basedash automations can now attach a CSV on every run in Slack, or add a Download CSV link to email. Postgres, Supabase, Redshift, MySQL and PlanetScale connections gain a Verify server certificate option that checks the database's identity and hostname, including over SSH tunnels. Earlier in October came view-only members, a connector gallery, Slack DMs and an iPhone app.
◆ Where it's heading
Basedash is filling in what teams need to adopt an AI-first BI tool widely: cheap read-only seats, delivery through Slack, email and mobile, and security settings that IT will ask about. The chat-built dashboards and MCP write from September remain the core; recent work is about rollout across an organization.
◆ Prediction
Expect more scheduled delivery options and admin and security controls, such as SSO and audit features, as Basedash targets larger teams.
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 Basedash 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 Basedash or Apache Storm.
OpenReplay
OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.
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.
OpenHouse
OpenHouse locks down its column-defaults capability flag as default values near completion.
See all Basedash alternatives → · See all Apache Storm alternatives →
Recent activity from Basedash and Apache Storm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoBasedashIntroducing view-only members in Basedash
- 5d agoBasedashIntroducing scheduled CSV exports in Basedash
- 6d agoBasedashDatabase connections can verify their certificates
- 13d agoBasedashView-only members are here
- 14d agoBasedashIntroducing the Basedash Connector gallery
- 20d agoBasedashMessage Basedash directly in Slack
- 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 Basedash and Apache Storm?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Storm is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 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.
Is Basedash better than Apache Storm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Storm is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 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.
What are the best alternatives to Basedash?
Top Basedash alternatives in Analytics are ranked by recent ship velocity. Browse the "Basedash alternatives" section above for the current picks, or visit /alternatives/basedash 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.