Software · head to head
Apache Druid vs Timescale

Apache Druid
Software
Real-time analytics database for sub-second OLAP queries
- From
- Free
- Rated
- -

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.
| Attribute | Apache Druid | Timescale |
|---|---|---|
| Starting price | Free | $30/month |
| Pricing model | open-source | subscription |
| Free tier | Yes | No |
| Platforms | Docker, Kubernetes, Native deployment (Java-based) | web, api |
| Founded | 1999 | Unknown |
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
FreeNo 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.
SourceTimescale: 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.
SourceTimescale: 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.
SourceRelated pages
More on Apache Druid
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