Depot

Name: Depot
Brand: Depot
Rating: 5 (3 reviews)

AI Native

Build software faster. Waste less time.

Est 2022|Raised $16.6M|6 Ref Customers

LinkedIn 3K|Web traffic 14K|FTEs 8|HQ Beaverton, OR

MarketsContinuous Integration & Continuous Delivery (CI/CD)Build Tools

01Competitive Landscape

Narrative analysis

Depot vs GitHub-hosted runners - The vendor positions Depot as providing faster builds and lower billed minutes via integrated caching and tuned infrastructure. Recent price changes to GitHub-hosted runners narrow some cost differentials for particular workloads. - Depot differentiates through integrated caching, managed single-tenant ephemeral runner configurations in some options, and vendor-specified cache throughput claims for particular configurations. These are vendor-provided differentiators that require validation for specific workloads. Depot vs RunsOn - Depot is a managed service designed to reduce operational maintenance, while RunsOn emphasizes running agents entirely within the customer’s AWS account, which supports a strong compliance and control posture. - Changes in vendor and platform pricing for self-hosted runners affect self-hosted economics and should be considered in a total-cost analysis. Depot vs DIY BuildKit/buildx caching - DIY solutions can be cost-effective at small scale and provide maximum flexibility. - Depot reduces engineering burden around cache correctness, warming, multi-architecture native builds, fleet scaling, and operational maintenance, at the cost of an external managed service dependency.

Adoption / market signals

Participation in an accelerator program and the seed financing announcement indicate early traction.
Vendor-reported recaps and press coverage cite high build activity as part of vendor credibility, but these figures are self-reported and should be validated by buyers.

	Depot	GitHub-hosted runners	RunsOn (self-hosted in your AWS)
Starting Price	Low-cost developer monthly tier and a mid-priced startup monthly tier plus usage-based charges	Usage-based with included plan minutes and overage billing	Annual license or subscription plus AWS infrastructure costs (varies by usage)
Best For	Teams seeking reduced build time and managed caching with minimal ops effort, primarily on GitHub Actions and container builds	Teams wanting GitHub-native experience with simple procurement and governance	Teams that require runners to run entirely in their AWS account and want direct cost and security control
Key Strength	Provides managed runners and a remote cache to reduce build times and offload operational complexity	Native integration, simple procurement, broad enterprise contract availability	Data and runtime remain in your AWS account; strong customer control over instance types and networking
Key Weakness	External dependency; Business-tier is required for many enterprise controls; limited public review volume	May be slower or more costly for heavy workloads in some scenarios; historical cache constraints	Operational burden relative to managed services; costs depend on AWS usage and platform billing changes

01Competitive Landscape

Narrative analysis

Depot vs GitHub-hosted runners

The vendor positions Depot as providing faster builds and lower billed minutes via integrated caching and tuned infrastructure. Recent price changes to GitHub-hosted runners narrow some cost differentials for particular workloads.
Depot differentiates through integrated caching, managed single-tenant ephemeral runner configurations in some options, and vendor-specified cache throughput claims for particular configurations. These are vendor-provided differentiators that require validation for specific workloads.

Depot vs RunsOn

Depot is a managed service designed to reduce operational maintenance, while RunsOn emphasizes running agents entirely within the customer’s AWS account, which supports a strong compliance and control posture.
Changes in vendor and platform pricing for self-hosted runners affect self-hosted economics and should be considered in a total-cost analysis.

Depot vs DIY BuildKit/buildx caching

DIY solutions can be cost-effective at small scale and provide maximum flexibility.
Depot reduces engineering burden around cache correctness, warming, multi-architecture native builds, fleet scaling, and operational maintenance, at the cost of an external managed service dependency.

Adoption / market signals

Participation in an accelerator program and the seed financing announcement indicate early traction.
Vendor-reported recaps and press coverage cite high build activity as part of vendor credibility, but these figures are self-reported and should be validated by buyers.

	Depot	GitHub-hosted runners	RunsOn (self-hosted in your AWS)
Starting Price	Low-cost developer monthly tier and a mid-priced startup monthly tier plus usage-based charges	Usage-based with included plan minutes and overage billing	Annual license or subscription plus AWS infrastructure costs (varies by usage)
Best For	Teams seeking reduced build time and managed caching with minimal ops effort, primarily on GitHub Actions and container builds	Teams wanting GitHub-native experience with simple procurement and governance	Teams that require runners to run entirely in their AWS account and want direct cost and security control
Key Strength	Provides managed runners and a remote cache to reduce build times and offload operational complexity	Native integration, simple procurement, broad enterprise contract availability	Data and runtime remain in your AWS account; strong customer control over instance types and networking
Key Weakness	External dependency; Business-tier is required for many enterprise controls; limited public review volume	May be slower or more costly for heavy workloads in some scenarios; historical cache constraints	Operational burden relative to managed services; costs depend on AWS usage and platform billing changes