ToolJet
ToolJet runs two release trains at once, and neither has changed direction in months
Comparison · Infra & APIs
AWS vs Depot
A side-by-side editorial comparison of AWS and Depot — release velocity, themes, recent moves, and the top alternatives to consider.
AWS vs Depot: at a glance
| Feature | AWS | Depot |
|---|---|---|
| Sector | Infra & APIs, DevOps | Infra & APIs |
| Velocity score | 6.3 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | ai-agents, serverless, workspaces, observability | ci-cd, build-acceleration, test-analytics, source-control |
| Last editorial update | 3mo ago | 1d ago |
| Website | Visit → | — |
What is AWS?
AWS hands AI agents a key to the legacy desktop while modernizing the serverless toolbelt.
AWS is shipping its usual broad May cadence — most of the entries are incremental capability extensions (SAM gains BuildKit and WebSockets, ElastiCache adds 13 CloudWatch diagnostics, MQ enables in-place RabbitMQ 4 upgrades, EKS gets a managed Instance Store CSI driver). The standout is WorkSpaces opening a preview that lets AI agents drive desktop applications inside managed WorkSpaces environments, framed explicitly as the 'last-mile' for AI agents reaching mainframes, ERP, and proprietary tools without modern APIs.
What is Depot?
Depot is expanding from faster builds into the whole CI stack — tests, source control, and its own metal.
Depot has spent the last month building outward from build acceleration. Test results went generally available with JUnit ingest, org-wide flaky and slow test analytics, and timing-based shard balancing. Underneath that, Depot Metal moved CI and Sandboxes onto bare-metal microVMs the company controls end to end, and Depot Code entered private beta as a diskless git server backed by blob storage. The smaller releases fill in the surrounding surface: Tailscale access to private networks, GitLab OIDC, Datadog CI Visibility, stacked pull requests, and macOS 26 runners on M4.
AWS vs Depot: editorial side-by-side
AWS
6.3INFRA · APISDEVOPS
AWS hands AI agents a key to the legacy desktop while modernizing the serverless toolbelt.
◆ Current state
AWS is shipping its usual broad May cadence — most of the entries are incremental capability extensions (SAM gains BuildKit and WebSockets, ElastiCache adds 13 CloudWatch diagnostics, MQ enables in-place RabbitMQ 4 upgrades, EKS gets a managed Instance Store CSI driver). The standout is WorkSpaces opening a preview that lets AI agents drive desktop applications inside managed WorkSpaces environments, framed explicitly as the 'last-mile' for AI agents reaching mainframes, ERP, and proprietary tools without modern APIs.
◆ Where it's heading
Two arcs are visible. First, AWS is positioning itself as the connective layer for enterprise AI agents — WorkSpaces for desktop apps, Amazon Quick + MCP for observability, integrations across legacy estates. Second, the serverless tooling story (SAM, Lambda container images, API Gateway) is finally catching up to how production teams already build, with BuildKit and WebSockets closing real gaps.
◆ Prediction
Expect WorkSpaces' agent-operable preview to add managed evaluation and audit primitives next, since enterprises won't put agents on top of ERP without traceable execution. On the serverless side, look for SAM to extend toward more first-class support for HTTP API constructs and tighter Lambda + container image authoring loops.
Depot
6.3INFRA · APIS
Depot is expanding from faster builds into the whole CI stack — tests, source control, and its own metal.
◆ Current state
Depot has spent the last month building outward from build acceleration. Test results went generally available with JUnit ingest, org-wide flaky and slow test analytics, and timing-based shard balancing. Underneath that, Depot Metal moved CI and Sandboxes onto bare-metal microVMs the company controls end to end, and Depot Code entered private beta as a diskless git server backed by blob storage. The smaller releases fill in the surrounding surface: Tailscale access to private networks, GitLab OIDC, Datadog CI Visibility, stacked pull requests, and macOS 26 runners on M4.
◆ Where it's heading
Each layer Depot adds is one it previously rented — compute from cloud runners, source hosting from GitHub, test insight from nothing at all. Owning the storage and hypervisor tiers is what makes the performance claims possible, and owning test data is what turns a build accelerator into something that reports on the pipeline rather than just running it faster. The pattern suggests Depot is positioning as the full CI platform, with speed as the entry point rather than the product.
◆ Prediction
Depot Code should move from private to open beta with tighter Depot CI integration, since a git server the company controls is what makes source-aware caching and test selection possible. Expect the test analytics to grow toward selecting which tests to run, not only how to split them.
Alternatives to AWS and Depot
Other Infra & APIs 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 AWS or Depot.
Honeycomb
Honeycomb bets that the agent, not the engineer, should notice the anomaly first
Jenkins
Jenkins is shrinking its own war file and rebuilding its UI, one weekly release at a time
GitHub
Copilot's model roster churns weekly while GitHub quietly rewires policy and billing plumbing
incident.io
Nexus does the diagnosis; the rest is on-call plumbing
werf
Four channels, one fix stream — werf's releases are mostly concurrency repairs.
Recent activity from AWS and Depot
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoDepotmacOS 26 is now the default macOS version for GitHub Actions runners
- 9d agoDepotDepot CI now supports native GitHub stacked pull requests
- 14d agoDepotTest results are now generally available ⚡
- 22d agoDepotAI analysis available for all Depot CI workflows and jobs
- 28d agoDepotSplit CI test suites with historical timing data (beta)
- 1mo agoDepotDepot CI now supports Tailscale
- 3mo agoAWSAWS Elemental MediaTailor now provides automatic secure server-to-server integration with Google's ad platforms
- 3mo agoAWSAWS SAM CLI adds BuildKit support for AWS Lambda functions packaged as container images
- 3mo agoAWSAWS SAM now supports WebSocket APIs for Amazon API Gateway
- 3mo agoAWSAmazon ElastiCache adds thirteen new Amazon CloudWatch metrics for network capacity planning and engine diagnostics
- 3mo agoAWSAmazon WorkSpaces now lets AI agents operate desktop applications (Preview) ⚡
- 3mo agoAWSAWS IoT Core for Device Location adds Confidence Level Configuration and Measurement Type support
Frequently asked questions
What is the difference between AWS and Depot?
They serve adjacent needs but don't currently overlap on shipped themes. AWS and Depot are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is AWS better than Depot?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. AWS and Depot are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to AWS?
Top AWS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "AWS alternatives" section above for the current picks, or visit /alternatives/aws for the full list with editorial commentary on each.
What are the best alternatives to Depot?
Top Depot alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Depot alternatives" section above for the current picks, or visit /alternatives/depot for the full list with editorial commentary on each.