QuestDB
QuestDB 10.0 collapses ingest and egress into one binary protocol, then aims at agent-run notebooks.
Comparison · DevOps
Convex vs Speakeasy
A side-by-side editorial comparison of Convex and Speakeasy — release velocity, themes, recent moves, and the top alternatives to consider.
Convex vs Speakeasy: at a glance
| Feature | Convex | Speakeasy |
|---|---|---|
| Sector | DevOps | DevOps |
| Velocity score | 2.5 | 10.0 |
| Sparks · 30d | 0 | 2 |
| Top themes | funding, reactive-backend, enterprise, agents | ai-governance, mcp, proxy-enforcement, cost-attribution |
| Last editorial update | 3d ago | 1d ago |
| Website | Visit → | — |
What is Convex?
Convex raised $57M on the argument that agents need a backend built for them.
The feed is thin on releases and heavy on company milestones. A $57M Series B led by Insight Partners is the newest item, pitched around developers and their agents writing software together and needing a backend that keeps up. The substantive product news remains April's Convex for Enterprise, which added the compliance and scale posture the platform previously lacked; since then the feed carries a conference announcement and open-source recaps rather than shipped capability.
What is Speakeasy?
Speakeasy moved enforcement to the proxy: a bad prompt now dies before inference, not after.
Speakeasy is an AI control plane that meters agent spend and governs MCP servers, and it crossed 1.0 at the end of July by enforcing role-based access on every plan tier instead of gating it behind a plan. The August releases widen what it can see — ChatGPT and ChatGPT Work usage now counts toward tokens under management alongside Claude Code, Codex, and Cursor — and add a second shadow-MCP posture that allows servers by default and names the ones to block. LiteLLM has become a first-class source, with prompt policies checked at the proxy.
Convex vs Speakeasy: editorial side-by-side
Convex
2.5DEVOPS
Convex raised $57M on the argument that agents need a backend built for them.
◆ Current state
The feed is thin on releases and heavy on company milestones. A $57M Series B led by Insight Partners is the newest item, pitched around developers and their agents writing software together and needing a backend that keeps up. The substantive product news remains April's Convex for Enterprise, which added the compliance and scale posture the platform previously lacked; since then the feed carries a conference announcement and open-source recaps rather than shipped capability.
◆ Where it's heading
Convex is funding and positioning ahead of shipping. The enterprise release established the upmarket motion and the funding narrative attaches it to agent-written code, but nothing in the visible window shows the agent-facing product surface that framing implies. Whether that framing is real or aspirational is not something this feed answers yet.
◆ Prediction
With the round announced around agent workloads, the next substantive release is most likely on that surface, though the entries here give no detail on what form it takes.
Speakeasy
10.0DEVOPS
Speakeasy moved enforcement to the proxy: a bad prompt now dies before inference, not after.
◆ Current state
Speakeasy is an AI control plane that meters agent spend and governs MCP servers, and it crossed 1.0 at the end of July by enforcing role-based access on every plan tier instead of gating it behind a plan. The August releases widen what it can see — ChatGPT and ChatGPT Work usage now counts toward tokens under management alongside Claude Code, Codex, and Cursor — and add a second shadow-MCP posture that allows servers by default and names the ones to block. LiteLLM has become a first-class source, with prompt policies checked at the proxy.
◆ Where it's heading
The product is moving from observing AI usage to intercepting it. Early releases catalogued spend and inventoried shadow MCP servers; the newest ones stop a policy-violating prompt before it reaches a model, and turn a bypass approval into a project-wide unblock rather than a private exception. Coverage breadth and enforcement point are being pushed together, which is what a control plane needs in order to be authoritative rather than advisory.
◆ Prediction
Expect more first-class sources onboarded through the same proxy-ingestion pattern, and the project assistant to keep gaining the ability to act on findings rather than list them. The entries say nothing about enforcement latency or what happens when the proxy check fails, which is the open question for anything sitting in the request path.
Alternatives to Convex and Speakeasy
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 Convex or Speakeasy.
Angular
Angular's 22.x prerelease train is grinding through correctness, not shipping new features.
SurveyJS
SurveyJS keeps a notes-free v1 line alive while v3 grinds through theming in beta.
Auth0
Auth0 is making AI agents first-class identities, not borrowed user accounts
immudb
immudb made itself speak Postgres — while its announced v2 rearchitecture sits unfinished.
Sonic
Sonic is shipping tokenizer control and a dependency diet, two tags at a time.
See all Convex alternatives → · See all Speakeasy alternatives →
Recent activity from Convex and Speakeasy
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3d agoConvexConvex raises a $57M Series B
- 5d agoSpeakeasyChatGPT spend shows up in your cost analytics, and shadow MCP policies can allow by default
- 5d agoSpeakeasyRun an allow-by-default shadow MCP policy end to end
- 5d agoSpeakeasyIntegrate and govern every model call that runs through a LiteLLM ⚡
- 8d agoSpeakeasyAccess controls apply on every plan, and external OAuth setup configures itself ⚡
- 8d agoSpeakeasyAsk the project assistant and get an answer cited from the docs, and read billing for whatever date range you pick
- 8d agoSpeakeasyConnect Claude Code and VS Code without client registration, and serve an MCP server straight from your domain root
- 3mo agoConvexWe're organizing a conference
- 4mo agoConvexConvex's 2025 open-source contributions, recapped
- 4mo agoConvexConvex for Enterprise (and updates to everything else) ⚡
- 6mo agoConvexJust landed in Europe
- 6mo agoConvexConvex Open Source Update
Frequently asked questions
What is the difference between Convex and Speakeasy?
They serve adjacent needs but don't currently overlap on shipped themes. Speakeasy is currently shipping more aggressively (velocity 10.0 vs 2.5), with 2 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 Convex better than Speakeasy?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Speakeasy is currently shipping more aggressively (velocity 10.0 vs 2.5), with 2 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 Convex?
Top Convex alternatives in DevOps are ranked by recent ship velocity. Browse the "Convex alternatives" section above for the current picks, or visit /alternatives/convex for the full list with editorial commentary on each.
What are the best alternatives to Speakeasy?
Top Speakeasy alternatives in DevOps are ranked by recent ship velocity. Browse the "Speakeasy alternatives" section above for the current picks, or visit /alternatives/speakeasy for the full list with editorial commentary on each.