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Depot vs OpenObserve
OpenObserve is an open-source observability platform, not a build or CI service like Depot.
DepotBuild Docker containers 40x fasterSide by side
- What it is
- Depot:Depot provides remote, fast Docker container builds, CI, caching, registry and sandbox services for scalable software delivery.
- OpenObserve:OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
- Best for
- Depot:Fast, scalable container builds and CI
- OpenObserve:Unified, petabyte-scale observability
- Who it’s for
- Depot:Engineering teams needing high-throughput builds and CI for AI-scale workloads.
- OpenObserve:Engineering teams needing high-performance, cost-effective observability.
- Pricing
- Depot:Freemium
- OpenObserve:Paid
- Plans
- Depot:Developer $20 per month · Startup $200 per month
- OpenObserve:OpenObserve Cloud $0.50/GB per GB ingest
- Open source
- Depot:—
- OpenObserve:Yes, 22,149 GitHub stars
- Works with
- Depot:GitHub Actions, GitHub, CI providers, AWS
- OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
- DevHunt upvotes
- Depot:22
- OpenObserve:39
- Launched on DevHunt
- Depot:Mar 2024
- OpenObserve:Apr 2026
Depot features
- 40x Faster Container Builds. Remote builds on native Intel & Arm hardware with zero-emulation, delivering up to 40× speedup.
- 10x Faster CI Engine. Programmable CI with unlimited concurrency and per-second billing.
- Shared Persistent Cache. Fast, shared cache across builds backed by NVMe storage.
- Depot Registry. High-throughput container registry with private, authenticated access.
- Agent Sandboxes. Ephemeral, isolated environments for agents and humans with fine-grained RBAC.
- Security & Governance. SSO/SAML, audit logging, SOC 2 Type II compliance, and role-based access control.
- Multi-Platform Support. Builds for both Intel and Arm platforms, including macOS and Windows runners.
OpenObserve features
- Unified observability stack. Collect, correlate and view logs, metrics, traces and more in a single platform.
- Columnar Parquet storage. Rust-based storage engine provides 140× storage efficiency and 30× compute efficiency.
- Auto-correlation engine. Analyzes millions of signals per second to automatically link related events.
- AI SRE agent. Continuously triages incidents, finds root cause and drafts post-mortems.
- AI assistant. Answers natural-language queries across all telemetry without writing queries.
- LLM observability. Tracks prompts, completions, token usage and cost for LLM applications.
- Kubernetes integration. One-click collector deploys logs, metrics, events and zero-code traces for clusters.
- OpenTelemetry-native ingestion. Supports OpenTelemetry, Prometheus and Datadog agents for drop-in migration.
Based on each tool's website and DevHunt data. Details may change; check the official sites.