Databases · head to head
Apache Pinot vs QuestDB

Apache Pinot
Databases
Real-time distributed OLAP datastore for analytics
- 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: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features
- They diverge on capability: Apache Pinot covers Real-time Analytics, QuestDB covers High Throughput Ingestion.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Pinot and QuestDB actually diverge.
| Attribute | Apache Pinot | QuestDB |
|---|---|---|
| Platforms | Linux, Docker, Kubernetes | Docker, Kubernetes, Cloud (AWS, Azure, GCP) |
| Founded | 1999 | 2014 |
Identical on both: starting price (Free), pricing model (open-source), 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 Apache Pinot
- Real-time Analytics
- Column-oriented
- Distributed Processing
- Pluggable Indexing
- Star-tree Index
- Upsert Support
- Spark
- Presto
Only in QuestDB
- High Throughput Ingestion
- Time-series Optimization
- SIMD Vectorization
- Column-oriented Storage
- Built-in Web Console
- InfluxDB Line Protocol
- PostgreSQL
- Grafana
Both cover
- SQL Support
- Kafka
- Linux support
- Docker support
What people use each for
The jobs each tool is most often brought in to do.
Apache Pinot
- Sub-second analytics queries on freshly ingested datanot QuestDB
- User-facing dashboards inside a productnot QuestDB
- Real-time metrics at high ingest ratesnot QuestDB
- Petabyte-scale analytics as run at LinkedIn and Ubernot QuestDB
QuestDB
- Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Apache Pinot
- Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Apache Pinot
- Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not Apache Pinot
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Pinot
- Self-hosted and distributed, so running it means operating a cluster rather than consuming a service
- Managed hosting comes from third parties such as StarTree rather than from the project
- Built for user-facing real-time OLAP, so it is not a general purpose database
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
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
QuestDB
FreeNo published plan breakdown. See the QuestDB review.
Which should you pick?
Choose Apache Pinot if
- You need real-time analytics.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want column-oriented.
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 time-series optimization.
Questions people ask
- Is Apache Pinot or QuestDB better?
- Neither clearly leads. Apache Pinot 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, Apache Pinot or QuestDB?
- Apache Pinot starts at Free and QuestDB at Free.
- Does Apache Pinot or QuestDB run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- Can I use Apache Pinot for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Pinot best used for?
- Apache Pinot is most often used for sub-second analytics queries on freshly ingested data, user-facing dashboards inside a product, real-time metrics at high ingest rates, petabyte-scale analytics as run at linkedin and uber. Of those, sub-second analytics queries on freshly ingested data and user-facing dashboards inside a product are not what QuestDB is typically brought in for.
- What can Apache Pinot do that QuestDB cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, Pluggable Indexing. QuestDB covers High Throughput Ingestion, Time-series Optimization, SIMD Vectorization, Column-oriented Storage. Both handle SQL Support, Kafka, Linux support, Docker support.
Answered from the vendors’ own pages
Apache Pinot: How much does Apache Pinot cost?
Apache Pinot is free and open-source. It is provided under the Apache License, which allows free use, modification, and distribution.
SourceQuestDB: 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.
SourceApache Pinot: Is Apache Pinot free for commercial use?
Yes. Apache Pinot is licensed under the Apache License, which explicitly permits commercial use at no cost.
SourceQuestDB: 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.
SourceApache Pinot: Can I run Apache Pinot locally or with Docker?
Yes. Apache Pinot offers a Docker quickstart and free downloads of the latest version (1.5.1 at the time of the page). You are responsible for hosting and infrastructure.
SourceQuestDB: 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.
SourceApache Pinot: Are there restrictions on how I can use Apache Pinot?
The Apache License permits unrestricted use, but requires retention of license notices and statements. No usage limits or feature restrictions are enforced.
SourceRelated pages
More on Apache Pinot
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