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Databases · head to head

Dremio vs IBM Db2

Dremio logo

Dremio

Databases

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

From
Free
Rated
-
Full reviewWebsite
IBM Db2 logo

IBM Db2

Databases

The AI-powered database built for demanding enterprise workloads

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.; IBM Db2 cloud-based Db2 is newer than mainframe version; some legacy mainframe features not yet available in cloud
  • They diverge on capability: Dremio covers Arrow-based execution, IBM Db2 covers AI-powered Query Optimization.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dremio and IBM Db2 actually diverge.

Attributes where Dremio and IBM Db2 differ
AttributeDremioIBM Db2
Pricing modelPer Dremio Compute Unit consumedUnknown
PlatformsLinux, Kubernetes, Cloud, DockerIBM Cloud, On-premises (mainframe), Linux, UNIX
FoundedUnknown1983

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 IBM Db2

  • AI-powered Query Optimization
  • Data Virtualization
  • Advanced Compression
  • pureScale Clustering
  • BLU Acceleration
  • Workload Management
  • Federated Queries
  • IBM Cloud

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 IBM Db2
  • A data platform team standardising on Apache Iceberg and needing a SQL engine plus catalogue that does not lock the tables innot IBM Db2
  • An analytics group accelerating slow lake queries with Reflections instead of hand-built aggregate tablesnot IBM Db2
  • A regulated enterprise that must keep data on premises but wants a modern lakehouse SQL layernot IBM Db2

IBM Db2

  • 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.

IBM Db2

  • Cloud-based Db2 is newer than mainframe version; some legacy mainframe features not yet available in cloud
  • Pricing complexity with hourly billing for compute and storage can result in unpredictable costs
  • Less community support and documentation compared to open-source alternatives like PostgreSQL
  • Requires IBM expertise and tools for optimal configuration and tuning
  • Migration from mainframe Db2 to cloud Db2 requires careful planning and testing

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

IBM Db2

Free
  • Free TierFree
    • Entry-level exploration
    • Limited resources
  • Standard$99/month
    • Production-ready workloads
    • Shared computing resources
  • Enterprise$969/month
    • Dedicated computing resources
    • Enhanced capabilities

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 IBM Db2 if

  • You need ai-powered query optimization.
  • You want to start without paying.
  • You work on IBM Cloud, On-premises (mainframe), Linux, UNIX.
  • You also want data virtualization.
IBM Db2 review

Questions people ask

Is Dremio or IBM Db2 better?
Neither clearly leads. Dremio starts at Free and IBM Db2 at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dremio or IBM Db2?
Dremio starts at Free and IBM Db2 at Free.
Does Dremio or IBM Db2 run on more platforms?
Dremio runs on Linux, Kubernetes, Cloud, Docker. IBM Db2 runs on IBM Cloud, On-premises (mainframe), Linux, UNIX.
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 IBM Db2 is typically brought in for.
What can Dremio do that IBM Db2 cannot?
Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue. IBM Db2 covers AI-powered Query Optimization, Data Virtualization, Advanced Compression, pureScale Clustering.

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.

IBM Db2: What is IBM Db2?

IBM Db2 is a cloud-based relational database management system designed for enterprise data management. It evolved from IBM's research into relational databases in the 1970s and launched for mainframe systems in 1983.

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.

IBM Db2: What are the pricing tiers for IBM Db2 cloud database?

IBM Db2 offers a perpetually free tier for exploration, Standard tier starting at $99/month (billed hourly), and Enterprise tier starting at $969/month (billed hourly). Storage costs $0.000282 per GB per hour across tiers.

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.

IBM Db2: Does Db2 support automatic failover and disaster recovery?

Yes. Db2 includes HADR (High Availability Disaster Recovery) with multizone region support, point-in-time recovery, built-in self-service snapshots, and geo-replicated data recovery backups.

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.

IBM Db2: Can Db2 scale horizontally?

Yes. Db2 supports both vertical and horizontal scaling through its pureScale architecture, allowing it to handle growing data volumes while maintaining performance for mission-critical applications.

Source
IBM Db2: How long has DB2 been in production?

DB2 launched in June 1983 on the MVS operating system and has operated for over 40 years. It remains the foundational database for the largest enterprises globally, managing data for financial, retail, healthcare, and insurance institutions.

Source
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