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Comparison · DevOps
Artillery vs Rivet
A side-by-side editorial comparison of Artillery and Rivet — release velocity, themes, recent moves, and the top alternatives to consider.
Artillery vs Rivet: at a glance
| Feature | Artillery | Rivet |
|---|---|---|
| Sector | DevOps | DevOps |
| Velocity score | 3.8 | 8.8 |
| Sparks · 30d | 0 | 3 |
| Top themes | load-testing, esm, typescript, aws-fargate | actor-model, byoc, mcp, agent-infrastructure |
| Last editorial update | 1mo ago | 1d ago |
| Website | Visit → | — |
What is Artillery?
Artillery adds a single-request diagnostic command and finally makes ESM a first-class citizen.
Artillery ships a patch release every four to eight weeks, and for most of the last ten that release was a Playwright version bump plus fixes to the distributed runners on Lambda, Fargate and Azure ACI. The recurring failure mode being chased is dependency resolution in worker environments: tests that need external npm modules silently starting with fewer VUs, skipped installs, module-not-found errors at run time. v2.0.34 breaks that pattern with genuine new surface area.
What is Rivet?
Rivet positions its Actors runtime as the infrastructure layer for enterprise-ready, AI-native application deployment.
Rivet has shipped three substantive capability moves in rapid succession: BYOC (Bring Your Own Cloud, letting enterprises run Rivet's control plane inside their own AWS or GCP VPCs), MCP integration (exposing Rivet Actors as a first-class tool in Claude Code, Cursor, Codex, and Gemini CLI), and Dynamic Apps (a V8-isolate-based runtime for deploying AI-generated applications for end users). Underneath all of this is the Actors model — a durable, stateful compute primitive built on open-source infrastructure. Durable Streams, a zero-disk SQLite storage engine with S3 tiering, and the agentOS execution API round out the technical foundation.
Artillery vs Rivet: editorial side-by-side
Artillery
3.8DEVOPS
Artillery adds a single-request diagnostic command and finally makes ESM a first-class citizen.
◆ Current state
Artillery ships a patch release every four to eight weeks, and for most of the last ten that release was a Playwright version bump plus fixes to the distributed runners on Lambda, Fargate and Azure ACI. The recurring failure mode being chased is dependency resolution in worker environments: tests that need external npm modules silently starting with fewer VUs, skipped installs, module-not-found errors at run time. v2.0.34 breaks that pattern with genuine new surface area.
◆ Where it's heading
Two arcs are converging. The first is reliability of the cloud runners, addressed incrementally by bundling more into the worker image rather than fetching at test startup — the fake-data plugin moved in this release, following the pre-packaged Playwright and CLI binaries earlier in the window. The second is modern JavaScript support: full ESM across processors, plugins, engines and reporters, plus TypeScript definitions that now model the entire test script rather than a fragment. Together they point at a team removing the reasons a test fails for reasons unrelated to the system under test.
◆ Prediction
Expect the ping command to grow assertion and output options, and the worker images to keep absorbing commonly-used plugins so that startup installs disappear entirely.
Rivet
8.8DEVOPS
Rivet positions its Actors runtime as the infrastructure layer for enterprise-ready, AI-native application deployment.
◆ Current state
Rivet has shipped three substantive capability moves in rapid succession: BYOC (Bring Your Own Cloud, letting enterprises run Rivet's control plane inside their own AWS or GCP VPCs), MCP integration (exposing Rivet Actors as a first-class tool in Claude Code, Cursor, Codex, and Gemini CLI), and Dynamic Apps (a V8-isolate-based runtime for deploying AI-generated applications for end users). Underneath all of this is the Actors model — a durable, stateful compute primitive built on open-source infrastructure. Durable Streams, a zero-disk SQLite storage engine with S3 tiering, and the agentOS execution API round out the technical foundation.
◆ Where it's heading
Rivet is building toward a single answer to a specific question: where does agent-generated, user-facing software actually run? The BYOC move unlocks regulated industries and large enterprises who can't send data to a SaaS control plane. MCP turns Rivet's Actors into something any AI client can discover and call without bespoke integration. Dynamic Apps makes Rivet the runtime, not just the infrastructure, for user-generated software. The through-line is that Rivet wants every AI agent — whether built by a developer or generated at runtime — to run on the Actors primitive with Rivet managing the lifecycle.
◆ Prediction
BYOC on AWS/GCP is the foundation; Azure support and SOC 2 certification are the logical next steps to close enterprise deals. Expect MCP to expand to more clients (OpenAI Codex, Copilot, Windsurf) as the MCP ecosystem grows, and Dynamic Apps to get versioning and rollback — the missing piece for user-facing production deployments.
Alternatives to Artillery and Rivet
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 Rivet.
Gravity Forms
Gravity Forms ships an MCP server, putting AI assistants on a direct line to WordPress form data.
Sanity
Sanity's MCP server hits v2.33 with safer publishing guards as Studio bug-fix cadence accelerates
Speakeasy
Speakeasy becomes the enterprise control plane for MCP server access and AI tool governance.
Kubernetes
Kubernetes v1.37 matures its memory management and scheduling stack for AI/ML workloads.
GitHub
GitHub Copilot gets cost-aware inference tiers as enterprise AI tooling tightens across the platform.
See all Artillery alternatives → · See all Rivet alternatives →
Recent activity from Artillery and Rivet
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoRivetIntroducing Rivet BYOC ⚡
- 6d agoRivetIntroducing Rivet MCP ⚡
- 13d agoRivetDurable Streams now supports Rivet Actors
- 16d agoRivetIntroducing Dynamic Apps: Deploy AI-Generated Apps for Your Users ⚡
- 1mo agoArtilleryartillery ping lands, plus full ESM and complete TypeScript definitions ⚡
- 1mo agoRivetRivet ships zero-disk SQLite with S3-tiered cold storage
- 1mo agoRivetIntroducing agentOS Execution API for JavaScript and Python
- 3mo agoArtilleryPlaywright 1.61 and a Faker swap in fake-data
- 4mo agoArtilleryhttp.timeout no longer silently capped at 8 seconds
- 4mo agoArtilleryW3C trace context propagation and a Got 11 to 14 engine upgrade
- 7mo agoArtilleryPlaywright 1.58.1 and a Fargate binary mismatch fix
- 7mo agoArtilleryPlaywright 1.58 and a Fargate metrics completeness fix
Frequently asked questions
What is the difference between Artillery and Rivet?
They serve adjacent needs but don't currently overlap on shipped themes. Rivet is currently shipping more aggressively (velocity 8.8 vs 3.8), with 3 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 Rivet?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Rivet is currently shipping more aggressively (velocity 8.8 vs 3.8), with 3 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 Rivet?
Top Rivet alternatives in DevOps are ranked by recent ship velocity. Browse the "Rivet alternatives" section above for the current picks, or visit /alternatives/rivet for the full list with editorial commentary on each.