Databases · head to head
Dremio vs QuestDB

Dremio
Databases
SQL query engine and lakehouse layer over Iceberg tables in object storage
- From
- Free
- Rated
- -

QuestDB
Databases
Fast open source time-series database for high throughput ingestion
- From
- Free
- Rated
- -
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.; QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features
- They diverge on capability: Dremio covers Arrow-based execution, QuestDB covers High Throughput Ingestion.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dremio and QuestDB actually diverge.
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 QuestDB
- High Throughput Ingestion
- SQL Support
- Time-series Optimization
- SIMD Vectorization
- Column-oriented Storage
- Built-in Web Console
- InfluxDB Line Protocol
- PostgreSQL
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 QuestDB
- A data platform team standardising on Apache Iceberg and needing a SQL engine plus catalogue that does not lock the tables innot QuestDB
- An analytics group accelerating slow lake queries with Reflections instead of hand-built aggregate tablesnot QuestDB
- A regulated enterprise that must keep data on premises but wants a modern lakehouse SQL layernot QuestDB
QuestDB
- Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Dremio
- Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Dremio
- Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not 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.
QuestDB
- Open-source edition lacks high-availability, distributed architecture, and enterprise security features
- Enterprise edition pricing not published; requires contacting sales for custom quote
- Ingestion limit of 20M rows/sec platform-dependent; may not scale to extreme throughput requirements
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
QuestDB
FreeNo published plan breakdown. See the QuestDB 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.
Choose QuestDB if
- You need high throughput ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- You also want sql support.
Questions people ask
- Is Dremio or QuestDB better?
- Neither clearly leads. Dremio starts at Free and QuestDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dremio or QuestDB?
- Dremio starts at Free and QuestDB at Free.
- Does Dremio or QuestDB run on more platforms?
- Dremio runs on Linux, Kubernetes, Cloud, Docker. QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- 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 QuestDB is typically brought in for.
- What can Dremio do that QuestDB cannot?
- Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue. QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization.
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.
QuestDB: How much does QuestDB Enterprise cost?
QuestDB does not publish specific pricing for the Enterprise tier. Customers must contact QuestDB via their enterprise contact form to receive a custom quote.
SourceDremio: 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.
QuestDB: Does QuestDB offer a free version?
Yes, QuestDB Open Source is completely free and recommended for evaluation, prototyping, and pilot projects. Enterprise features, high availability, security, and dedicated support require the paid Enterprise tier.
SourceDremio: 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.
QuestDB: What deployment options does QuestDB offer?
QuestDB offers open source deployment, Enterprise deployment, and Bring Your Own Cloud (BYOC) deployment. Pricing details for BYOC and Enterprise tiers are not published and require direct contact with sales.
SourceDremio: 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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