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Database & Data Management · head to head

Apache Druid vs QuestDB

Apache Druid logo

Apache Druid

Database & Data Management

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Full reviewWebsite
QuestDB logo

QuestDB

Database & Data Management

Fast open source time-series database for high throughput ingestion

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features
  • They diverge on capability: Apache Druid covers Real-time Ingestion, QuestDB covers High Throughput Ingestion.

Where they differ

Only the attributes on which Apache Druid and QuestDB actually diverge.

Attributes where Apache Druid and QuestDB differ
AttributeApache DruidQuestDB
PlatformsDocker, Kubernetes, Native deployment (Java-based)Docker, Kubernetes, Cloud (AWS, Azure, GCP)
Founded19992014

Identical on both: starting price (Free), pricing model (open-source), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).

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 Druid

  • Real-time Ingestion
  • Sub-second Queries
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Hadoop
  • Spark

Only in QuestDB

  • High Throughput Ingestion
  • SQL Support
  • Time-series Optimization
  • SIMD Vectorization
  • Built-in Web Console
  • InfluxDB Line Protocol
  • PostgreSQL
  • Grafana

Both cover

  • Column-oriented Storage
  • Kafka
  • Linux support
  • Docker support

What people use each for

The jobs each tool is most often brought in to do.

Apache Druid

  • Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot QuestDB
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not QuestDB
  • Time-series and event analysis at massive scale with columnar storage efficiencynot QuestDB

QuestDB

  • Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Apache Druid
  • Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Apache Druid
  • Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not Apache Druid

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Druid

  • Open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
  • High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment

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 Druid

Free

No published plan breakdown. See the Apache Druid review.

QuestDB

Free

No published plan breakdown. See the QuestDB review.

Which should you pick?

Choose Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Native deployment (Java-based).
  • You also want sub-second queries.
Apache Druid review

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.
QuestDB review

Questions people ask

Is Apache Druid or QuestDB better?
Neither clearly leads. Apache Druid 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 Druid or QuestDB?
Apache Druid starts at Free and QuestDB at Free.
Does Apache Druid or QuestDB run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
Can I use Apache Druid for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Druid best used for?
Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what QuestDB is typically brought in for.
What can Apache Druid do that QuestDB cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Streaming Integration, Approximate Algorithms. QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization. Both handle Column-oriented Storage, Kafka, Linux support, Docker support.
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