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Apache Druid vs Timescale

Apache Druid logo

Apache Druid

Software

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Timescale logo

Timescale

Software

PostgreSQL platform for time-series and analytical workloads

From
$30/month
Rated
-

The short version

  • Only Apache Druid has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; Timescale it is built on Postgres, so it inherits Postgres's vertical-scaling limits compared to purpose-built distributed time-series systems.
  • They diverge on capability: Apache Druid covers Real-time Ingestion, Timescale covers Hypertables.

Where they differ

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

Attributes where Apache Druid and Timescale differ
AttributeApache DruidTimescale
Starting priceFree$30/month
Pricing modelopen-sourcesubscription
Free tierYesNo
PlatformsDocker, Kubernetes, Native deployment (Java-based)web, api
Founded1999Unknown

Identical on both: user rating (Not yet rated), category (Unknown).

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
  • Column-oriented Storage
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Kafka

Only in Timescale

  • Hypertables
  • Native compression
  • Continuous aggregates
  • Point-in-time recovery
  • Read replicas
  • Private networking

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 Timescale
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Timescale
  • Time-series and event analysis at massive scale with columnar storage efficiencynot Timescale

Timescale

  • IoT and sensor data storagenot Apache Druid
  • Operational and infrastructure metricsnot Apache Druid
  • Time-series analytics dashboardsnot Apache Druid
  • Financial and market tick datanot 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

Timescale

  • It is built on Postgres, so it inherits Postgres's vertical-scaling limits compared to purpose-built distributed time-series systems.
  • The free trial is time-limited (30 days) rather than a permanent free tier.
  • Enterprise features like HIPAA compliance and cross-region backups require custom-priced Enterprise plans, not available on entry tiers.
  • Multi-node horizontal scaling and read replicas are gated behind the higher-priced Scale plan.

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Timescale

$30/month
  • Performance$30/month
    • 4 database services
    • Up to 8 CPU / 32GB memory per service
    • Up to 16TB disk per service
  • Scale$36/month
    • Unlimited database services
    • Up to 32 CPU / 128GB memory per service
    • Up to 64TB disk per service
  • Enterprise$undefined/month
    • Up to 64 CPU / 256GB memory per service
    • Cross-region backups
    • SAML SSO, HIPAA compliance

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.

Choose Timescale if

  • You need hypertables.
  • You work on web, api.
  • You also want native compression.

Questions people ask

Is Apache Druid or Timescale better?
Neither clearly leads. Apache Druid starts at Free and Timescale at $30/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or Timescale?
Apache Druid has a free tier; the other does not. Paid plans start at Free for Apache Druid and $30/month for Timescale.
Does Apache Druid or Timescale run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Timescale runs on web, api.
Can I use Apache Druid for free?
Yes. Apache Druid has a free tier, so you can try it without paying. Timescale starts at $30/month.
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 Timescale is typically brought in for.
What can Apache Druid do that Timescale cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Timescale covers Hypertables, Native compression, Continuous aggregates, Point-in-time recovery.

Answered from the vendors’ own pages

Timescale: What does Timescale (Tiger Data) cost?

Tiger Cloud starts at $30/month for the Performance plan (4 database services, up to 8 CPU/32GB RAM), $36/month for Scale (unlimited services, multi-node HA), and custom Enterprise pricing for larger deployments.

Source
Timescale: Is there a free trial and what does it include?

New users get a 30-day trial of the Performance plan with no credit card required, letting them test hypertables, compression and continuous aggregates before paying.

Source
Timescale: How is usage billed?

Billing is monthly in arrears with hourly-metered compute and storage based on average GB consumed per hour; mid-month plan changes are pro-rated and customers can cancel anytime.

Source
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