NetBird
NetBird's second v0.82 candidate keeps the MySQL removal and deprecates Rosenpass.
Comparison · Infra & APIs
Databricks vs Hatchet
A side-by-side editorial comparison of Databricks and Hatchet — release velocity, themes, recent moves, and the top alternatives to consider.
Databricks vs Hatchet: at a glance
What is Databricks?
Databricks lands DBR 18.2 GA on Spark 4.1; the 18.x line is the active story, older LTS pages are mostly doc refreshes.
The substantive shipping event in the window is Databricks Runtime 18.2 GA on May 4, the latest minor in a fast 18.x cadence on Spark 4.1.0 (18.0 in January, 18.1 in March, 18.2 Beta on April 8, GA on May 4). The rest of the recent feed is an April 13 documentation refresh that updated release notes for older LTS versions — 14.3, 15.4, 16.4, 17.3, 13.3 — without new shipping behind them.
What is Hatchet?
Hatchet takes durable tasks serverless, with handlers for Cloudflare Workers, Vercel and Node.
Hatchet's new @hatchet-dev/serverless 0.1.0 runs tasks on Cloudflare Workers, Vercel and Node. An in-engine operator delivers them by signed POST or by an invocation websocket that also carries durable sleeps, waits and child runs. Around it, the engine shipped three patches in a day: DAG replays no longer take an advisory lock, worker shutdown now waits for durable tasks, and status queries use partition pruning. The API now declares 429 with Retry-After on every authenticated call.
Databricks vs Hatchet: editorial side-by-side
Databricks
5.0INFRA · APISANALYTICS
Databricks lands DBR 18.2 GA on Spark 4.1; the 18.x line is the active story, older LTS pages are mostly doc refreshes.
◆ Current state
The substantive shipping event in the window is Databricks Runtime 18.2 GA on May 4, the latest minor in a fast 18.x cadence on Spark 4.1.0 (18.0 in January, 18.1 in March, 18.2 Beta on April 8, GA on May 4). The rest of the recent feed is an April 13 documentation refresh that updated release notes for older LTS versions — 14.3, 15.4, 16.4, 17.3, 13.3 — without new shipping behind them.
◆ Where it's heading
Databricks is pushing Spark 4.1 hard through the runtime line: JDK 21 default in 18.x, breaking changes around NULL preservation and partition columns, aggressive deprecation of older behaviors (input_file_name removal, AWS SDK v1 shading). The 18.x cadence is roughly one minor every six weeks, and 16.4 LTS is acting as the bridge for customers needing to migrate Scala 2.12 code to 2.13 before they can move to 17 or 18.
◆ Prediction
Expect an 18.x LTS designation later in 2026 once the line stabilizes, with continued behavioral hardening and more shaded dependency cleanup. Doc refreshes for older LTS versions — particularly 13.3 LTS, which is close to its August 2026 end-of-support — will likely keep landing as Databricks pushes customers up the runtime stack.
Hatchet
6.3INFRA · APIS
Hatchet takes durable tasks serverless, with handlers for Cloudflare Workers, Vercel and Node.
◆ Current state
Hatchet's new @hatchet-dev/serverless 0.1.0 runs tasks on Cloudflare Workers, Vercel and Node. An in-engine operator delivers them by signed POST or by an invocation websocket that also carries durable sleeps, waits and child runs. Around it, the engine shipped three patches in a day: DAG replays no longer take an advisory lock, worker shutdown now waits for durable tasks, and status queries use partition pruning. The API now declares 429 with Retry-After on every authenticated call.
◆ Where it's heading
Until now, running Hatchet meant running long-lived workers. The serverless package removes that requirement, so durable execution can run where JavaScript teams already deploy. The engine work points the same way: rate limits declared in the spec, safer worker acks, cheaper status queries. Patch cadence is still very high, often several engine tags a day, and much of it fixes durable-task edge cases.
◆ Prediction
Expect quick 0.1.x serverless releases as early users hit edge cases on each platform, and possibly matching Python handlers. More engine patches on durable-task shutdown and replay are likely.
Alternatives to Databricks and Hatchet
Other Infra & APIs 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 Databricks or Hatchet.
GitHub
At Universe, GitHub folds Copilot into Enterprise seats and lets Copilot Fusion pick the model.
incident.io
incident.io's agent now runs your team's own tools, with a human approval before any change.
Apache Airflow
Airflow 3.4 reaches its first release candidate, a week after the 10-20 provider wave.
Redocly
Redocly's reunite.agent gets per-duty cron schedules, rules and source repos.
Jackett
Jackett ships a daily build to keep hundreds of torrent indexers working as sites move and close.
See all Databricks alternatives → · See all Hatchet alternatives →
Recent activity from Databricks and Hatchet
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoHatchetHatchet v0.115.0: contributor list update, no product notes
- 1d agoHatchetHatchet v0.114.15 fixes migration deadlocks
- 1d agoHatchetHatchet v0.114.14 builds its own continuous aggregates
- 1d agoHatchetHatchet v0.114.13 quiets noisy DAG operator errors
- 1d agoHatchetPython SDK 1.43.2 parses 429 rate-limit errors
- 1d agoHatchetHatchet v0.114.12 adds a Concurrency dashboard page
- 5mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
- 6mo agoDatabricksDBR 18.0 documentation refresh
- 6mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
- 6mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
- 6mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
- 6mo agoDatabricksDatabricks Runtime 18.2 (Beta) Databricks Runtime 18.2 for Machine Learning (Beta) 4.1.0Apr 8, 2026Oct 8, 2026
Frequently asked questions
What is the difference between Databricks and Hatchet?
They serve adjacent needs but don't currently overlap on shipped themes. Hatchet 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 Databricks better than Hatchet?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatchet 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to Databricks?
Top Databricks alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Databricks alternatives" section above for the current picks, or visit /alternatives/databricks for the full list with editorial commentary on each.
What are the best alternatives to Hatchet?
Top Hatchet alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Hatchet alternatives" section above for the current picks, or visit /alternatives/hatchet for the full list with editorial commentary on each.