Softwr

Databases · head to head

Dremio vs MariaDB

Dremio logo

Dremio

Databases

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

From
Free
Rated
-
Full reviewWebsite
MariaDB logo

MariaDB

Databases

The open source relational database for the enterprise

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.; MariaDB jSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions
  • They diverge on capability: Dremio covers Arrow-based execution, MariaDB covers MySQL Compatibility.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dremio and MariaDB actually diverge.

Attributes where Dremio and MariaDB differ
AttributeDremioMariaDB
Pricing modelPer Dremio Compute Unit consumedUnknown
PlatformsLinux, Kubernetes, Cloud, DockerLinux, Unix, Windows, macOS
FoundedUnknown2009

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 MariaDB

  • MySQL Compatibility
  • Aria Storage Engine
  • ColumnStore
  • Galera Cluster
  • MaxScale
  • Spider Engine
  • Temporal Tables
  • phpMyAdmin

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

MariaDB

  • Transaction processingnot Dremio
  • Data storagenot Dremio
  • Application backendnot Dremio
  • Reportingnot Dremio
  • Data analyticsnot 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.

MariaDB

  • JSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions
  • Galera Cluster maximum performance limited to the slowest node in cluster
  • InnoDB tables limited to 1,017 columns and 64 secondary indexes
  • Transaction size limits in Galera (128K rows and 2GB by default)
  • Less strict SQL type checking than PostgreSQL; allows implicit conversions

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

MariaDB

Free

No published plan breakdown. See the MariaDB review.

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 MariaDB if

  • You need mysql compatibility.
  • You want to start without paying.
  • You work on Linux, Unix, Windows, macOS.
  • You also want aria storage engine.
MariaDB review

Questions people ask

Is Dremio or MariaDB better?
Neither clearly leads. Dremio starts at Free and MariaDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dremio or MariaDB?
Dremio starts at Free and MariaDB at Free.
Does Dremio or MariaDB run on more platforms?
Dremio runs on Linux, Kubernetes, Cloud, Docker. MariaDB runs on Linux, Unix, Windows, macOS.
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 MariaDB is typically brought in for.
What can Dremio do that MariaDB cannot?
Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue. MariaDB covers MySQL Compatibility, Aria Storage Engine, ColumnStore, Galera Cluster.

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.

MariaDB: Is MariaDB completely free and open source?

Yes. MariaDB Server is licensed under GPLv2 and guaranteed to remain perpetually free and open source, independent of any commercial entities.

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.

MariaDB: Is MariaDB backward compatible with MySQL?

Yes. MariaDB was designed as a drop-in replacement for MySQL. Every application, driver, and configuration that worked with MySQL works with MariaDB without code changes.

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.

MariaDB: What are the storage engine options in MariaDB?

MariaDB supports multiple storage engines including InnoDB (transactional, default), Aria (crash-safe, good for read-heavy workloads), and MyISAM. The Aria engine is faster than InnoDB for certain read-heavy queries and full table scans.

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.

MariaDB: How much does MariaDB cost?

MariaDB Community Server is completely free to download and use. MariaDB offers paid enterprise support and managed cloud services for organizations needing professional support.

Source
MariaDB: Does MariaDB support native JSON storage?

MariaDB stores JSON using text fields (the JSON type is an alias for LONGTEXT), not as a native binary type like MySQL does. JSON support exists but is less sophisticated than MySQL's JSON functions and syntax.

Source
MariaDB: What scaling options does MariaDB provide?

MariaDB supports both scaling up (more cores, memory, storage) and scaling out (read replication, Galera Cluster with multi-node replication). However, Galera Cluster performance cannot exceed the slowest node in the cluster.

Source
Share

Related pages

More on Dremio

More on MariaDB

Keep looking

Other head to heads