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Comparison · DevOps
Artillery vs QuestDB
A side-by-side editorial comparison of Artillery and QuestDB — release velocity, themes, recent moves, and the top alternatives to consider.
Artillery vs QuestDB: at a glance
What is Artillery?
Half the release notes are a Playwright version bump; the other half is cloud-runner damage control.
Artillery ships every few weeks, and almost every release opens with a Playwright upgrade — 1.58.0, 1.58.1, 1.60.0, 1.61.0 across this window. Underneath that treadmill, the recurring subject is the hosted runners: Fargate, Azure ACI and the CLI that coordinates them keep producing bugs where tests silently run wrong rather than failing outright.
What is QuestDB?
QuestDB 10.0 collapses ingest and egress into one binary protocol, then aims at agent-run notebooks.
QuestDB just shipped 10.0, its first major version bump in the visible window, built around QWP — a binary columnar wire protocol that handles writes going in and streams Arrow back out through a single client. The release also carries live views in beta, notebooks driven by coding agents, and the storage groundwork that QuestDB Enterprise 4.0 builds cold storage on. The days since have been spent substantiating it: a parallel-reader benchmark puts 500M rows into Arrow in 2.3 seconds against ClickHouse and TimescaleDB. Around the releases, the feed is mostly engineering deep-dives, capital-markets case studies, and comparison guides.
Artillery vs QuestDB: editorial side-by-side
Artillery
0.0DEVOPS
Half the release notes are a Playwright version bump; the other half is cloud-runner damage control.
◆ Current state
Artillery ships every few weeks, and almost every release opens with a Playwright upgrade — 1.58.0, 1.58.1, 1.60.0, 1.61.0 across this window. Underneath that treadmill, the recurring subject is the hosted runners: Fargate, Azure ACI and the CLI that coordinates them keep producing bugs where tests silently run wrong rather than failing outright.
◆ Where it's heading
The most consequential fixes are the ones about tests lying to you. http.timeout was silently capped at 8 seconds regardless of configuration, so slow backends failed with socket timeouts that looked like the backend's fault. Fargate ran fewer virtual users than configured when tests depended on external npm modules. Both ACI and Fargate reported incomplete results when a test tracked many distinct metrics — which is also what drove the query-string normalization work, since Playwright tests generate unbounded metric cardinality from URLs. Meanwhile the product is reaching outward: W3C Trace Context propagation lets a load test's traffic be correlated with backend traces.
◆ Prediction
Expect continued reliability work on the distributed runners and further metric-cardinality controls, since those two threads account for most non-Playwright changes here. The Playwright bumps will keep arriving on their own schedule.
QuestDB
6.3DEVOPS
QuestDB 10.0 collapses ingest and egress into one binary protocol, then aims at agent-run notebooks.
◆ Current state
QuestDB just shipped 10.0, its first major version bump in the visible window, built around QWP — a binary columnar wire protocol that handles writes going in and streams Arrow back out through a single client. The release also carries live views in beta, notebooks driven by coding agents, and the storage groundwork that QuestDB Enterprise 4.0 builds cold storage on. The days since have been spent substantiating it: a parallel-reader benchmark puts 500M rows into Arrow in 2.3 seconds against ClickHouse and TimescaleDB. Around the releases, the feed is mostly engineering deep-dives, capital-markets case studies, and comparison guides.
◆ Where it's heading
The protocol work is the thread that matters. QuestDB has been positioning against InfluxDB Line Protocol on ingestion throughput for a while — 33M rows/s on one machine at a million series, roughly 3.6x ILP over a network — and 10.0 turns that from a benchmark argument into the default path in and out. The follow-up post shifts the argument to the read side, which is the half QWP actually changes: folding Arrow egress into the same protocol points the database at the Python analytics stack directly rather than through a SQL driver, something the Polars and ConnectorX content has been rehearsing for months. Live views and agent notebooks are earlier-stage, and the Enterprise line continues on its own track.
◆ Prediction
Expect QuestDB Enterprise 4.0 next, built on 10.0's storage work and leading with cold storage, plus client libraries catching up to QWP one language at a time. Live views and the agent notebooks look likeliest to leave beta on a later minor rather than in the next release.
Alternatives to Artillery and QuestDB
Other DevOps 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 Artillery or QuestDB.
Vitest
A major version being built in the open, one breaking change at a time.
fish shell
Four minor versions in five months, and the shell's remaining work is almost all interaction detail.
Alacritty
Alacritty ships twice a year and spends it on config syntax, Wayland and IME.
Mamba
Mamba is adding the reproducibility controls conda users have been asking of the solver.
Swagger UI
Swagger UI's release stream is dependency bumps and nothing else.
See all Artillery alternatives → · See all QuestDB alternatives →
Recent activity from Artillery and QuestDB
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoQuestDBStreaming 500 million rows into Apache Arrow in 2.3 seconds
- 2d agoQuestDBQuestDB 10.0: QWP, one binary streaming protocol for writes and Arrow reads ⚡
- 3d agoQuestDBIntroducing QuestDB's new binary ingestion protocol: QWP
- 19d agoQuestDBTransaction Cost Analysis with QuestDB and Polars: VWAP, Slippage and Markout
- 22d agoQuestDBHDFC Bank uses QuestDB for mule account detection across all major 25+ banking channels
- 24d agoQuestDBThe Most Expensive Instruction Might Be… cmov
- 1mo agoArtilleryArtillery 2.0.33 swaps Falso for Faker.js in fake-data
- 2mo agoArtilleryArtillery 2.0.32 lifts the silent 8-second http.timeout cap
- 3mo agoArtilleryArtillery 2.0.31 propagates W3C Trace Context to backends
- 6mo agoArtilleryArtillery v2.0.30
- 6mo agoArtilleryArtillery v2.0.29
- 6mo agoArtilleryArtillery 2.0.28 normalizes query strings to cut metric cardinality
Frequently asked questions
What is the difference between Artillery and QuestDB?
They serve adjacent needs but don't currently overlap on shipped themes. QuestDB is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 Artillery better than QuestDB?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. QuestDB is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.
What are the best alternatives to Artillery?
Top Artillery alternatives in DevOps are ranked by recent ship velocity. Browse the "Artillery alternatives" section above for the current picks, or visit /alternatives/artillery for the full list with editorial commentary on each.
What are the best alternatives to QuestDB?
Top QuestDB alternatives in DevOps are ranked by recent ship velocity. Browse the "QuestDB alternatives" section above for the current picks, or visit /alternatives/questdb for the full list with editorial commentary on each.