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Comparison · DevOps
Heroku vs Speakeasy
A side-by-side editorial comparison of Heroku and Speakeasy — release velocity, themes, recent moves, and the top alternatives to consider.
Heroku vs Speakeasy: at a glance
| Feature | Heroku | Speakeasy |
|---|---|---|
| Sector | DevOps, Infra & APIs | DevOps |
| Velocity score | 5.0 | 10.0 |
| Sparks · 30d | 0 | 1 |
| Top themes | managed postgres, runtime upkeep, deprecation cadence, buildpacks | ai-governance, mcp-platform, agent-identity, enterprise-security |
| Last editorial update | 1mo ago | 1d ago |
| Website | Visit → | — |
What is Heroku?
Runtime bumps fill the changelog; the managed Postgres line is where Heroku actually moves.
Day to day, Heroku's changelog is language-runtime upkeep: Python, Node, Ruby, Go, PHP, JRuby and .NET point releases, buildpack refreshes for Pipenv and uv, and periodic rebuilds of the Heroku-22, Heroku-24 and Heroku-26 stacks now maintained in parallel. The exception is the managed database. Postgres 18 entered beta on 14 July and reached general availability on 4 August, and Heroku deprecated Postgres 15 on the same day.
What is Speakeasy?
Speakeasy ships agent-as-principal identity and active Shadow AI blocking—moving from observing AI agents to controlling them.
Speakeasy has been building MCP governance infrastructure at a high shipping cadence. This week's most significant releases establish agents as first-class principals with their own scoped API keys, upstream accounts, and audit trail entries—ending the pattern of agents borrowing human identity. The MCP gateway now also actively refuses AI agents your organization has blocked via Shadow AI, shifting the platform from analytics-first to enforcement-first.
Heroku vs Speakeasy: editorial side-by-side
Heroku
5.0DEVOPSINFRA · APIS
Runtime bumps fill the changelog; the managed Postgres line is where Heroku actually moves.
◆ Current state
Day to day, Heroku's changelog is language-runtime upkeep: Python, Node, Ruby, Go, PHP, JRuby and .NET point releases, buildpack refreshes for Pipenv and uv, and periodic rebuilds of the Heroku-22, Heroku-24 and Heroku-26 stacks now maintained in parallel. The exception is the managed database. Postgres 18 entered beta on 14 July and reached general availability on 4 August, and Heroku deprecated Postgres 15 on the same day.
◆ Where it's heading
The platform is running two clocks at once. One is a near-daily maintenance cadence that keeps supported runtimes current and rarely changes behaviour. The other is a deliberate, publicly staged lifecycle for the data services, where a major version is walked from beta to GA and the version three releases behind is retired in the same announcement. Kafka is on the same track, with 2.8 and 3.7 deprecations and a revised version-support policy posted in late July.
◆ Prediction
Given that Postgres 15's deprecation was announced alongside 18's general availability, the next concrete step is a published end-of-life date and forced-upgrade window for Postgres 15. The runtime bumps will continue at their current weekly rhythm.
Speakeasy
10.0DEVOPS
Speakeasy ships agent-as-principal identity and active Shadow AI blocking—moving from observing AI agents to controlling them.
◆ Current state
Speakeasy has been building MCP governance infrastructure at a high shipping cadence. This week's most significant releases establish agents as first-class principals with their own scoped API keys, upstream accounts, and audit trail entries—ending the pattern of agents borrowing human identity. The MCP gateway now also actively refuses AI agents your organization has blocked via Shadow AI, shifting the platform from analytics-first to enforcement-first.
◆ Where it's heading
The product is converging on enterprise AI governance: authorization, identity, billing, and enforcement for organizations managing many AI agents and MCP servers. Each release adds a control surface that enterprises need before deploying agents at scale—who is this agent, what can it do, what does it cost, and can we block the ones we don't want? The spend breakdown by product and incremental inference scanning point toward cost governance as the next focus.
◆ Prediction
Agent-level identity and enforcement are now in place. Policy templates or role definitions that enterprise admins can apply across all agents without configuring each individually are the logical next step—reducing the per-agent setup overhead for large deployments.
Alternatives to Heroku 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 Heroku or Speakeasy.
Sanity
Sanity is turning its CMS into agent infrastructure, one MCP patch at a time.
Manticore Search
Manticore Search adds direct-to-disk bulk import, eliminating RAM staging bottlenecks in large ingestion pipelines.
CodeRabbit
CodeRabbit launches a cross-repo PR triage queue that ranks every open pull request with evidence.
containerd
containerd patches CVE-2026-53493 across five branches the same day 2.4.0 ships 658 commits
Rivet
Rivet is shipping the complete agentic backend stack: actors, durable streams, BYOC, MCP integration, and a V8 app runtime in one month.
See all Heroku alternatives → · See all Speakeasy alternatives →
Recent activity from Heroku and Speakeasy
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3d agoSpeakeasyWatchdog alerts are readable from Platform MCP, and the risk model can be compared before it enforces
- 3d agoSpeakeasyAgents act as themselves: scoped keys, their own upstream accounts, and their own name in audit and usage ⚡
- 3d agoSpeakeasyIssuers move between project and organization scope, and MCP servers pick an issuer that already exists
- 5d agoSpeakeasyWorkload sessions are labeled on the MCP Sessions page, and Platform MCP brings existing servers under management
- 5d agoSpeakeasySpend by product for pay-as-you-go organizations, and inference scans that stop redoing work
- 9d agoSpeakeasyClaude Code and Codex tokens and cost reappear on usage, cost, and identity pages
- 1mo agoHerokuPostgres 18 GA and Postgres 15 deprecation; Python 3.14.7 and 3.13.15
- 2mo agoHeroku.NET SDK updates across the 8.0, 9.0 and 10.0 lines
- 2mo agoHerokuPostgres 18 enters beta; sbt 2 supported for Scala apps
- 2mo agoHerokuHeroku-22, Heroku-24 and Heroku-26 stacks updated
- 2mo agoHerokuPython buildpacks updated to Pipenv 2026.6.2 and uv 0.11.28
- 2mo agoHerokuNode.js 26.5.0 now available
Frequently asked questions
What is the difference between Heroku and Speakeasy?
They serve adjacent needs but don't currently overlap on shipped themes. Speakeasy is currently shipping more aggressively (velocity 10.0 vs 5.0), 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 Heroku 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 5.0), 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 Heroku?
Top Heroku alternatives in DevOps are ranked by recent ship velocity. Browse the "Heroku alternatives" section above for the current picks, or visit /alternatives/heroku 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.