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Depot vs OpenObserve

OpenObserve is an open-source observability platform, not a build or CI service like Depot.

Side 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.