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Comparison · Analytics
Deepnote vs Apache Storm
A side-by-side editorial comparison of Deepnote and Apache Storm — release velocity, themes, recent moves, and the top alternatives to consider.
Deepnote vs Apache Storm: at a glance
| Feature | Deepnote | Apache Storm |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 2.5 | 0.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | data notebooks, agentic ai, mcp, workspace context | stream-processing, security, apache-iceberg, jvm |
| Last editorial update | 1h ago | 1h ago |
| Website | — | Visit → |
What is Deepnote?
Deepnote's agent now runs from first prompt to finished notebook without handoffs.
Deepnote's most recent entry, in October, makes Deepnote Agent a single agent that keeps context from the first instruction to the finished notebook, and lets private and shared projects sit in the same folder. It builds on June's native Codex connection to a workspace's notebooks, schedules and data, and July's MCP tools that let agents create and attach integrations. Spring releases added run snapshots, Git sync, Polars support, PDF export and AI usage metering.
What is Apache Storm?
Storm 3.1 adds an Iceberg sink and closes a long list of security gaps in Nimbus and the UI.
Storm runs a 3.x line, started in July with 3.0.0's removal of all Clojure and a Java 21 baseline, alongside 2.8.x maintenance. 3.1.0 on September 12 adds a storm-iceberg module with an Apache Iceberg sink bolt and a setting to control JSONP wrapping, and spends most of its notes on hardening: log listings filtered by user permission, jar locations restricted to the Nimbus inbox, blobstore names confined to topology directories, TLS peer verification for worker connections and required Kryo class registration.
Deepnote vs Apache Storm: editorial side-by-side
Deepnote
2.5ANALYTICS
Deepnote's agent now runs from first prompt to finished notebook without handoffs.
◆ Current state
Deepnote's most recent entry, in October, makes Deepnote Agent a single agent that keeps context from the first instruction to the finished notebook, and lets private and shared projects sit in the same folder. It builds on June's native Codex connection to a workspace's notebooks, schedules and data, and July's MCP tools that let agents create and attach integrations. Spring releases added run snapshots, Git sync, Polars support, PDF export and AI usage metering.
◆ Where it's heading
The notebook is being repositioned as a workspace agents operate in, both Deepnote's own agent and external ones like Codex. Releases have slowed from monthly in spring to one entry each in July and October.
◆ Prediction
Further agent capabilities or more external agent connections are the likeliest next move; the slower cadence makes timing hard to read.
Apache Storm
0.0ANALYTICS
Storm 3.1 adds an Iceberg sink and closes a long list of security gaps in Nimbus and the UI.
◆ Current state
Storm runs a 3.x line, started in July with 3.0.0's removal of all Clojure and a Java 21 baseline, alongside 2.8.x maintenance. 3.1.0 on September 12 adds a storm-iceberg module with an Apache Iceberg sink bolt and a setting to control JSONP wrapping, and spends most of its notes on hardening: log listings filtered by user permission, jar locations restricted to the Nimbus inbox, blobstore names confined to topology directories, TLS peer verification for worker connections and required Kryo class registration.
◆ Where it's heading
After the 2.8.6 and 2.8.7 CVE releases, the 3.x line is closing access-control gaps across Nimbus, the logviewer and worker transport. The Iceberg sink adds a direct path into lakehouse storage.
◆ Prediction
Expect 3.1.x follow-ups, possibly with security advisories for the hardened paths, and continued 2.8.x maintenance; whether more lakehouse connectors follow is unclear.
Alternatives to Deepnote 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 Deepnote or Apache Storm.
Apache Iceberg
Iceberg 1.12 drops Spark 3.4 and starts laying groundwork for the v4 table spec.
ManageEngine Log360
Log360's September build fixes the migration to the unified console.
Apache HertzBeat
HertzBeat's 1.9.0 is on its second release candidate, and the feed still skips 1.8.0.
OpenPanel
OpenPanel moves from 3.18 to 3.20 in two days, still without a word of release notes.
Apache TsFile
TsFile 2.5 adds Go to its Java, C++ and Python implementations.
See all Deepnote alternatives → · See all Apache Storm alternatives →
Recent activity from Deepnote and Apache Storm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 24d agoDeepnotePrivate and shared projects can live in the same folder
- 1mo agoApache StormStorm 3.1.0 adds an Iceberg sink and security hardening
- 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
- 4mo agoDeepnoteNew MCP tools for integrations
- 5mo agoDeepnoteYour workspace as the context for every exploration ⚡
- 6mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 6mo agoDeepnoteRun snapshots, Git sync, & AI usage visibility
- 6mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 6mo agoApache StormTwo TLS CVEs fixed: JVM-wide downgrade and auth bypass
- 6mo agoApache StormDeserialization RCE and stored XSS in the UI are fixed
Frequently asked questions
What is the difference between Deepnote and Apache Storm?
They serve adjacent needs but don't currently overlap on shipped themes. Deepnote is currently shipping more aggressively (velocity 2.5 vs 0.0), 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 Deepnote better than Apache Storm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Deepnote is currently shipping more aggressively (velocity 2.5 vs 0.0), 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 Deepnote?
Top Deepnote alternatives in Analytics are ranked by recent ship velocity. Browse the "Deepnote alternatives" section above for the current picks, or visit /alternatives/deepnote 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.