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Databases · head to head

Dremio vs Namespace

Dremio logo

Dremio

Databases

SQL query engine and lakehouse layer over Iceberg tables in object storage

From
Free
Free plan
Yes
Visit DremioFull review
Namespace logo

Namespace

Developer Tools

The dev platform for the next 100 billion commits

From
Free
Free plan
Yes
Visit NamespaceFull review

The short version

  • Namespace is a developer infrastructure platform.
  • Free plans on both; paid from $0.2/mo and $100/mo.
  • Only Dremio lists arrow-based execution; only Namespace lists GitHub Actions runners.
  • Where Dremio falls short: Dremio Cloud is AWS-first, which leaves Azure and Google Cloud customers on the self-managed path with the operational burden that entails.
  • Where Namespace falls short: developer plan is pay-as-you-go only; minimum usage unclear.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dremio and Namespace actually diverge.

Attributes where Dremio and Namespace differ
AttributeDremioNamespace
PlatformsLinux, Self-hosted, WebWeb, macOS, Windows, Linux
CategoryDatabasesDeveloper Tools

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: pricing model for Namespace.

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 Dremio

  • Arrow-based execution
  • Reflections
  • Semantic layer
  • Iceberg catalogue
  • Federated queries
  • Autonomous management
  • Fine-grained access control
  • BI connectors

Only in Namespace

  • Devboxes
  • GitHub Actions runners
  • Docker builds
  • Cross-invocation caching
  • NVMe storage
  • High-speed networking
  • Multiple OS support
  • Bazel and Turborepo support

What people use each for

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

Dremio

  • A company with petabytes of Parquet in S3 that wants BI dashboards without duplicating it into a warehousenot Namespace
  • A data platform team standardising on Apache Iceberg and needing a SQL engine plus catalogue that does not lock the tables innot Namespace
  • An analytics group accelerating slow lake queries with Reflections instead of hand-built aggregate tablesnot Namespace
  • A regulated enterprise that must keep data on premises but wants a modern lakehouse SQL layernot Namespace

Namespace

  • Providing AI coding agents with cloud-based development environmentsnot Dremio
  • Accelerating CI builds with faster GitHub Actions runnersnot Dremio
  • Distributing builds across teams with managed infrastructurenot Dremio
  • Scaling development velocity for monorepo organizationsnot Dremio

Where each one falls short

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

Dremio

  • Reflections consume compute and storage to build and refresh continuously, so a team that enables them widely discovers that background maintenance rather than user queries drives the DCU bill
  • Self-managing Dremio on Kubernetes requires real platform engineering capacity for tuning executors, memory and coordinator sizing, and it is not comparable in effort to running a managed warehouse
  • The Community Edition lacks the security and governance features most enterprises require, so the free tier is a trial path rather than a viable production option for regulated buyers
  • Dremio Cloud is AWS-first, which leaves Azure and Google Cloud customers on the self-managed path with the operational burden that entails
  • Query performance without Reflections on raw, poorly laid out files is often unremarkable, so the promise of querying the lake as is depends on file layout work you still have to do

Namespace

  • Developer plan is pay-as-you-go only; minimum usage unclear
  • Team plan $100/mo is competitive but usage limits may be tight
  • Devbox pricing separate at $0.004/minute could add up quickly
  • Enterprise plan requires custom sales conversation

Pricing, plan by plan

Dremio

Free
  • Community EditionFree
    • Self-managed on your own hardware
    • SQL engine and semantic layer
    • No vendor support
  • Dremio Cloud$0.2/hour
    • Billed at $0.20 per Dremio Compute Unit
    • Includes query execution, Reflections and background processing
    • 400 dollar trial credit for 30 days
  • EnterpriseOn request
    • Self-managed on Kubernetes, on premises or any cloud
    • Enterprise security, SSO and governance
    • Vendor support with SLA

Namespace

Free
  • DeveloperFree
    • Pay-as-you-go
    • On-demand compute
    • Docker builds
  • Team$100/mo
    • 100,000 unit minutes
    • 1,000 Docker builds
    • Everything in Developer
  • Business$250/mo
    • 250,000 unit minutes
    • 2,500 Docker builds
    • Everything in Team
  • EnterpriseOn request
    • Custom compute/Docker build limits
    • Audit log export
    • Enterprise SSO

Which should you pick?

Choose Dremio if

  • You need arrow-based execution.
  • You want to start without paying.
  • You work on Linux, Self-hosted, Web.
  • You also want reflections.
Dremio review

Choose Namespace if

  • You need devboxes.
  • You want to start without paying.
  • You work on Web, macOS, Windows, Linux.
  • You also want github actions runners.
Namespace review

Questions people ask

Is Dremio or Namespace better?
Neither clearly leads. Dremio starts at Free and Namespace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dremio or Namespace?
Dremio starts at Free and Namespace at Free.
Does Dremio or Namespace run on more platforms?
Dremio runs on Linux, Self-hosted, Web. Namespace runs on Web, macOS, Windows, Linux.
Can I use Dremio for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dremio best used for?
Dremio is most often used for a company with petabytes of parquet in s3 that wants bi dashboards without duplicating it into a warehouse, a data platform team standardising on apache iceberg and needing a sql engine plus catalogue that does not lock the tables in, an analytics group accelerating slow lake queries with reflections instead of hand-built aggregate tables, a regulated enterprise that must keep data on premises but wants a modern lakehouse sql layer. Of those, a company with petabytes of parquet in s3 that wants bi dashboards without duplicating it into a warehouse and a data platform team standardising on apache iceberg and needing a sql engine plus catalogue that does not lock the tables in are not what Namespace is typically brought in for.
What can Dremio do that Namespace cannot?
Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation caching.

Answered from the vendors’ own pages

Dremio: How is Dremio Cloud billed?

At 0.20 US dollars per Dremio Compute Unit, which counts query execution, Reflection building and platform overhead, not just user queries.

Namespace: How is compute usage metered on the Developer plan?

Developer plan uses pay-as-you-go billing. Devboxes bill at $0.004 per minute. Storage and caching services have separate usage-based fees. A 30-day free trial is available to test usage patterns.

Source
Dremio: Is there a free version?

Yes, a Community Edition you self-manage, but it omits the enterprise security and governance features and comes with no support.

Namespace: What is the difference between Team and Business plans?

Team ($100/mo) includes 100,000 unit minutes and 1,000 Docker builds with email support. Business ($250/mo) includes 250,000 unit minutes, 2,500 Docker builds, and high concurrency with a dedicated Slack channel.

Source
Dremio: Does it lock in my data?

No, tables stay in Apache Iceberg or Parquet in your own object storage and can be read by Spark, Trino or other engines.

Namespace: Can Namespace support AI coding agents?

Yes, Namespace Devboxes are specifically designed as feature-rich development environments for AI coding agents, with full tooling and performance optimization.

Source
Dremio: Do I still need a warehouse?

Often not for analytics, but Dremio is not a transactional store and high-concurrency operational serving is not its strength.

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