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Comparison · Infra & APIs

Hatchet vs Logstash

A side-by-side editorial comparison of Hatchet and Logstash — release velocity, themes, recent moves, and the top alternatives to consider.

Hatchet vs Logstash: at a glance

FeatureHatchetLogstash
SectorInfra & APIsInfra & APIs, Analytics
Velocity score6.33.3
Sparks · 30d00
Top themesdurable execution, serverless, task queues, rate limitingobservability, elastic-stack, ingest-pipeline, performance
Last editorial update15h ago5mo ago
WebsiteVisit →Visit →

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.

Read the full Hatchet trajectory →

What is Logstash?

PQ compression and ES|QL preview land while weekly plugin churn drives the release cadence.

Logstash is in a steady maintenance phase across the 9.0–9.3 lines, with most weekly releases dominated by plugin dependency bumps (Netty, Avro, kotlin-stdlib) and small fixes. The substantive 9.x work — Persistent Queue compression via ZSTD, batch-size metrics, and ES|QL support in Technical Preview for the Elasticsearch input/filter — represents real capability gains for operators tuning throughput and storage. Security and credential-handling hygiene (sasl_jaas_config redaction, encoded API-key formats) shows up consistently across plugin updates.

Read the full Logstash trajectory →

Hatchet vs Logstash: editorial side-by-side

H
Hatchet
INFRA · APIS
6.3

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.

Logstash logo
Logstash
INFRA · APISANALYTICS
3.3

PQ compression and ES|QL preview land while weekly plugin churn drives the release cadence.

◆ Current state

Logstash is in a steady maintenance phase across the 9.0–9.3 lines, with most weekly releases dominated by plugin dependency bumps (Netty, Avro, kotlin-stdlib) and small fixes. The substantive 9.x work — Persistent Queue compression via ZSTD, batch-size metrics, and ES|QL support in Technical Preview for the Elasticsearch input/filter — represents real capability gains for operators tuning throughput and storage. Security and credential-handling hygiene (sasl_jaas_config redaction, encoded API-key formats) shows up consistently across plugin updates.

◆ Where it's heading

The product is consolidating its role as the configurable ingest tier of the Elastic stack rather than chasing new categories. Investment is concentrated on operational efficiency — PQ compression, average batch metrics, JDBC concurrency lifts — and on tightening integration with newer Elasticsearch capabilities like ES|QL. Plugin maintenance burden is high but treated as first-class, suggesting the team has accepted the long tail of integrations as the durable surface area.

◆ Prediction

Expect ES|QL support to graduate from Technical Preview to GA in the next minor, and PQ compression to become the default once the rollback-barrier risk has aged out. Watch for further telemetry surfaces aimed at sizing — the batch-metrics work points toward a guided-tuning story.

Alternatives to Hatchet and Logstash

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 Hatchet or Logstash.

See all Hatchet alternatives → · See all Logstash alternatives →

Recent activity from Hatchet and Logstash

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 21h agoHatchetHatchet v0.115.0: contributor list update, no product notes
  2. 22h agoHatchetHatchet v0.114.15 fixes migration deadlocks
  3. 1d agoHatchetHatchet v0.114.14 builds its own continuous aggregates
  4. 1d agoHatchetHatchet v0.114.13 quiets noisy DAG operator errors
  5. 1d agoHatchetPython SDK 1.43.2 parses 429 rate-limit errors
  6. 1d agoHatchetHatchet v0.114.12 adds a Concurrency dashboard page
  7. 6mo agoLogstashRelease notes index update (no shipped change)
  8. 6mo agoLogstashKafka Output regression fixed for sasl_jaas_config
  9. 6mo agoLogstashSecurity advisories pointer for 9.3.3
  10. 6mo agoLogstashElasticsearch Output - 12.1.3
  11. 6mo agoLogstashLogstash seizes 9.x: PQ compression, batch metrics, ES|QL preview ⚡
  12. 7mo agoLogstashAzure_event_hubs Input - 1.5.5

Frequently asked questions

What is the difference between Hatchet and Logstash?

They serve adjacent needs but don't currently overlap on shipped themes. Hatchet is currently shipping more aggressively (velocity 6.3 vs 3.3), 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 Hatchet better than Logstash?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatchet is currently shipping more aggressively (velocity 6.3 vs 3.3), 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 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.

What are the best alternatives to Logstash?

Top Logstash alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Logstash alternatives" section above for the current picks, or visit /alternatives/logstash for the full list with editorial commentary on each.