Sanity
Sanity's MCP server hits v2.33 with safer publishing guards as Studio bug-fix cadence accelerates
A side-by-side editorial comparison of Rivet and Tines — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Rivet | Tines |
|---|---|---|
| Sector | DevOps | DevOps |
| Velocity score | 8.8 | 5.0 |
| Sparks · 30d | 3 | 0 |
| Top themes | actor-model, byoc, mcp, agent-infrastructure | apps, cases, mcp, sso |
| Last editorial update | 1d ago | 17d ago |
| Website | — | Visit → |
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.
Tines is turning Apps into a first-class build surface with real data access and enterprise controls
Tines is investing behind Apps and Cases rather than the core workflow engine. Apps can now read cases, records and resources through built-in functions, are reachable through the MCP server, and can be shared under SSO. Cases picked up 3B workflows as actions plus layout control.
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.
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.
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.
Tines is investing behind Apps and Cases rather than the core workflow engine. Apps can now read cases, records and resources through built-in functions, are reachable through the MCP server, and can be shared under SSO. Cases picked up 3B workflows as actions plus layout control.
The pattern is Apps graduating from a lightweight front-end into something that queries tenant data directly and ships under enterprise authentication. Each release removes a piece of scaffolding — an endpoint here, a sharing workaround there — that previously stood between an App and the platform underneath it.
Expect Apps to gain write access to the same primitives they can now read, and for the SSO sharing model to extend to the remaining shareable objects.
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 Rivet or Tines.
Sanity's MCP server hits v2.33 with safer publishing guards as Studio bug-fix cadence accelerates
Speakeasy becomes the enterprise control plane for MCP server access and AI tool governance.
Kubernetes v1.37 matures its memory management and scheduling stack for AI/ML workloads.
GitHub Copilot gets cost-aware inference tiers as enterprise AI tooling tightens across the platform.
CodeRabbit pushes upmarket with enterprise APIs, rate controls, and a CLI that reviews remotely
NATS 2.15 introduces a desired-state reconciliation engine for JetStream, making cluster operations safe to run mid-flight.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — mcp — within DevOps. Rivet is currently shipping more aggressively (velocity 8.8 vs 5.0), 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Rivet is currently shipping more aggressively (velocity 8.8 vs 5.0), 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.
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.
Top Tines alternatives in DevOps are ranked by recent ship velocity. Browse the "Tines alternatives" section above for the current picks, or visit /alternatives/tines for the full list with editorial commentary on each.