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Developer Tools · head to head

Depot vs Teradata

Depot logo

Depot

Developer Tools

Cloud-based builds and CI runs 55x faster with less cost

From
Free
Free plan
Yes
Visit DepotFull review
Teradata logo

Teradata

Databases

Long-established enterprise MPP data warehouse, rebranded in 2026 as the Autonomous Knowledge Platform, sold for cloud, on-premises and hybrid.

From
On request
Free plan
No
Visit TeradataFull review

The short version

  • Depot is a cloud-based CI/CD platform.
  • Depot starts at $20/mo; Teradata prices on request.
  • Only Depot lists Depot CI; only Teradata lists massively parallel architecture.
  • Where Depot falls short: developer plan minute limits may be insufficient for active development.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Depot and Teradata actually diverge.

Attributes where Depot and Teradata differ
AttributeDepotTeradata
Starting priceFreeOn request
Free tierYesNo
PlatformsWeb, GitHub, APIWeb
CategoryDeveloper ToolsDatabases

Not yet recorded: pricing model for Depot, founded for Teradata.

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Depot

  • Depot CI
  • Container builds
  • GitHub Actions runners
  • Distributed caching
  • Build API
  • Depot Registry
  • Cross-platform builds
  • SSH debugging

Only in Teradata

  • Massively parallel architecture
  • Workload management
  • Mature cost-based optimiser
  • Cloud, on-premises and hybrid
  • Bulk load utilities
  • BTEQ scripting
  • In-database analytics
  • Enterprise Vector Store

What people use each for

The jobs each tool is most often brought in to do.

Depot

  • Accelerating Docker builds for container-based developmentnot Teradata
  • Replacing GitHub Actions runners with faster infrastructurenot Teradata
  • Distributing cache across Monorepo buildsnot Teradata
  • Debugging failed CI builds interactively with SSHnot Teradata

Teradata

  • A large existing Teradata estate where the practical question is which workloads to migrate first rather than whether to adoptnot Depot
  • High-concurrency mixed workloads where hundreds of analysts and scheduled jobs contend and predictable prioritisation matters more than peak single-query speednot Depot
  • Regulated reporting where the same query must produce the same answer for years and the audit trail of the existing implementation has valuenot Depot
  • Hybrid deployments where regulatory or data-residency rules keep a portion of the warehouse on-premises while the rest moves to cloudnot Depot

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Depot

  • Developer plan minute limits may be insufficient for active development
  • Startup plan at $200/mo is expensive for smaller teams
  • Business plan requires custom pricing consultation
  • macOS M2 runners not available on Developer plan

Teradata

  • Licensing is negotiated rather than published, so there is no way to compare total cost against a consumption-priced warehouse without entering a sales cycle, and the comparison is only ever as good as the workload profile you gave them
  • The SQL dialect and the loading utilities are Teradata-specific, so every stored procedure, macro and BTEQ script written against the platform is migration debt that grows with each release you ship
  • Primary index choice determines data distribution, and a poorly chosen index concentrates rows on a few processing units, which surfaces as one slow query rather than an error and needs a specialist to diagnose
  • The skills market is contracting, so DBA and workload-management expertise is expensive to hire, hard to replace when someone retires, and increasingly hard to buy from consultancies whose own bench has moved to cloud warehouses
  • The 2026 renaming of Vantage, VantageCloud, ClearScape and QueryGrid split documentation, runbooks and vendor material across two naming systems, so searching for an error or a configuration now returns results for a product that is described under a different name

Pricing, plan by plan

Depot

Free
  • Developer$20/mo
    • 1 user
    • 500 Docker build minutes per month
    • 2,000 Depot CI minutes per month
  • Startup$200/mo
    • Unlimited users
    • 5,000 Docker build minutes per month
    • 20,000 Depot CI minutes per month
  • BusinessOn request
    • Custom pricing
    • Unlimited users
    • Custom monthly compute

Teradata

On request

No published plan breakdown. See the Teradata review.

Which should you pick?

Choose Depot if

  • You need depot ci.
  • You want to start without paying.
  • You work on Web, GitHub, API.
  • You also want container builds.
Depot review

Choose Teradata if

  • You need massively parallel architecture.
  • You also want workload management.
Teradata review

Questions people ask

Is Depot or Teradata better?
Neither clearly leads. Depot starts at Free and Teradata at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Depot or Teradata?
Depot has a free tier; the other does not. Paid plans start at Free for Depot and On request for Teradata.
Does Depot or Teradata run on more platforms?
Depot runs on Web, GitHub, API. Teradata runs on Web.
Can I use Depot for free?
Yes. Depot has a free tier, so you can try it without paying. Teradata starts at On request.
What is Depot best used for?
Depot is most often used for accelerating docker builds for container-based development, replacing github actions runners with faster infrastructure, distributing cache across monorepo builds, debugging failed ci builds interactively with ssh. Of those, accelerating docker builds for container-based development and replacing github actions runners with faster infrastructure are not what Teradata is typically brought in for.
What can Depot do that Teradata cannot?
Depot covers Depot CI, Container builds, GitHub Actions runners, Distributed caching. Teradata covers Massively parallel architecture, Workload management, Mature cost-based optimiser, Cloud, on-premises and hybrid.

Answered from the vendors’ own pages

Depot: How much faster are Depot runners compared to GitHub Actions?

Depot runners offer 30% faster CPUs and 10x faster networking than standard GitHub-hosted runners, enabling builds to complete significantly faster.

Source
Teradata: Is Teradata only on-premises?

No. It is sold for cloud, on-premises and hybrid deployment, and the cloud offering is now branded Teradata Cloud. A large part of the installed base is still on-premises or hybrid.

Depot: What is included in the Developer plan?

Developer plan ($20/month) includes 500 Docker build minutes, 2,000 Depot CI minutes, 2,000 GitHub Actions minutes, 25 GB storage, unlimited concurrency, and community support.

Source
Teradata: How does it compare to Snowflake or BigQuery?

On raw elasticity and cost transparency the cloud warehouses win. On mixed-workload concurrency management against a large existing query estate Teradata is still hard to replace, which is why migrations off it take years rather than quarters.

Depot: Can I use Depot with my own AWS account?

Yes, Depot Managed allows deployment within customer AWS accounts. This is available to interested customers; contact sales for details.

Source
Teradata: Why do organisations stay on it?

Because the cost of leaving is the estate, not the data. Thousands of procedures, scripts and extracts written in a proprietary dialect have to be rewritten and revalidated, and in regulated reporting that revalidation is the expensive part.

Teradata: What changed in the 2026 rebrand?

Vantage became the Autonomous Knowledge Platform, VantageCloud became Teradata Cloud, ClearScape Analytics became AI Studio and QueryGrid became Fabric. The underlying products are continuous with what came before.

Teradata: Can it handle AI and vector workloads?

It has added an Enterprise Vector Store and in-database analytics branded AI Studio. Whether that is preferable to moving the data into a purpose-built vector store depends on how much of your data already lives in the warehouse.

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