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Databases · head to head

Dremio vs Redpanda

Dremio logo

Dremio

Databases

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

From
Free
Rated
-
Full reviewWebsite
Redpanda logo

Redpanda

Databases

Kafka-compatible streaming platform with no ZooKeeper or JVM

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Redpanda the community edition is source-available rather than OSI open source, which matters for some procurement
  • They diverge on capability: Dremio covers Arrow-based execution, Redpanda covers Kafka API compatible.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dremio and Redpanda actually diverge.

Attributes where Dremio and Redpanda differ
AttributeDremioRedpanda
Pricing modelPer Dremio Compute Unit consumedSource-available community edition with paid enterprise and cloud tiers
PlatformsLinux, Kubernetes, Cloud, DockerLinux, Docker, Kubernetes, Self-hosted

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

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 Redpanda

  • Kafka API compatible
  • No JVM or ZooKeeper
  • Thread-per-core
  • Built-in HTTP proxy and schema registry

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 Redpanda
  • A data platform team standardising on Apache Iceberg and needing a SQL engine plus catalogue that does not lock the tables innot Redpanda
  • An analytics group accelerating slow lake queries with Reflections instead of hand-built aggregate tablesnot Redpanda
  • A regulated enterprise that must keep data on premises but wants a modern lakehouse SQL layernot Redpanda

Redpanda

  • Kafka workloads where the operational cost of running Kafka is the blockernot Dremio
  • Latency-sensitive streaming where tail latency mattersnot Dremio
  • Smaller teams wanting streaming without a dedicated platform groupnot 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.

Redpanda

  • The community edition is source-available rather than OSI open source, which matters for some procurement
  • Kafka API compatibility is high but not total, and deep ecosystem tools can hit gaps
  • Smaller community than Kafka, so fewer people have solved your problem before
  • Some operational and tiered-storage features are enterprise-only

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 $0.20 per Dremio Compute Unit
    • Includes query execution, Reflections and background processing
    • 400 dollar trial credit for 30 days
  • Enterprise$undefined/year
    • Self-managed on Kubernetes, on premises or any cloud
    • Enterprise security, SSO and governance
    • Vendor support with SLA

Redpanda

Free
  • CommunityFree
    • Kafka-compatible broker
    • Single binary
    • Community support

Which should you pick?

Choose Dremio if

  • You need arrow-based execution.
  • You want to start without paying.
  • You work on Linux, Kubernetes, Cloud, Docker.
  • You also want reflections.
Dremio review

Choose Redpanda if

  • You need kafka api compatible.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want no jvm or zookeeper.
Redpanda review

Questions people ask

Is Dremio or Redpanda better?
Neither clearly leads. Dremio starts at Free and Redpanda at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dremio or Redpanda?
Dremio starts at Free and Redpanda at Free.
Does Dremio or Redpanda run on more platforms?
Dremio runs on Linux, Kubernetes, Cloud, Docker. Redpanda runs on Linux, Docker, Kubernetes, Self-hosted.
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 Redpanda is typically brought in for.
What can Dremio do that Redpanda cannot?
Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue. Redpanda covers Kafka API compatible, No JVM or ZooKeeper, Thread-per-core, Built-in HTTP proxy and schema registry.

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.

Redpanda: Is Redpanda free?

A community edition is free and source-available. Enterprise features and Redpanda Cloud are paid, and the licence is not OSI open 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.

Redpanda: Can I use my Kafka clients?

Yes. Redpanda implements the Kafka API, so existing clients and most tooling connect without changes.

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.

Redpanda: Why remove ZooKeeper and the JVM?

Both are significant sources of Kafka’s operational burden — tuning, coordination and failure modes. Removing them is the core of Redpanda’s pitch.

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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