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Software · head to head

Cockroach Labs vs TimescaleDB

Cockroach Labs logo

Cockroach Labs

Software

The cloud-native distributed SQL database

From
Free
Rated
-
TimescaleDB logo

TimescaleDB

Software

Time-series database built on PostgreSQL for real-time analytics

From
Free
Rated
-

The short version

  • Each has a real cost: Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only); TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: Cockroach Labs covers Distributed SQL, TimescaleDB covers Time-series Optimization.

Where they differ

Only the attributes on which Cockroach Labs and TimescaleDB actually diverge.

Attributes where Cockroach Labs and TimescaleDB differ
AttributeCockroach LabsTimescaleDB
Pricing modelfreemiumUnknown
PlatformsAWS, GCP, AzureLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
Founded20152012

Identical on both: starting price (Free), free tier (Yes), 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 Cockroach Labs

  • Distributed SQL
  • Automatic Sharding
  • Multi-region Replication
  • Geo-partitioning
  • ACID Transactions
  • Horizontal Scaling
  • Survivability
  • PostgreSQL Compatibility

Only in TimescaleDB

  • Time-series Optimization
  • PostgreSQL Extension
  • Automatic Partitioning
  • Continuous Aggregates
  • Native Compression
  • Full SQL Support
  • Real-time Analytics
  • PostgreSQL

What people use each for

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

Cockroach Labs

  • Distributed SQL database for scalable applicationsnot TimescaleDB
  • Multi-region deployment and failovernot TimescaleDB

TimescaleDB

  • Monitoringnot Cockroach Labs
  • IoT datanot Cockroach Labs
  • Financial datanot Cockroach Labs
  • Log analyticsnot Cockroach Labs
  • Observabilitynot Cockroach Labs

Where each one falls short

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

Cockroach Labs

  • Basic and Standard tiers limited to AWS and GCP (select regions only)
  • Azure support restricted to Advanced tier only
  • Basic tier limited to 50 million RUs and 10 GiB storage per month
  • Advanced tier starts at $0.60/hour for 4 vCPUs minimum
  • 3 TiB maximum storage on Basic and Standard tiers, 10 TiB per node on Advanced

TimescaleDB

  • Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
  • Bloom filter indexes on compressed columns can return incorrect query results before upgrade
  • PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later

Pricing, plan by plan

Cockroach Labs

Free

No published plan breakdown. See the Cockroach Labs review.

TimescaleDB

Free
  • Open SourceFree
    • Self-hosted TimescaleDB
    • MIT-licensed core
    • Full PostgreSQL compatibility
  • Scale Plan (Cloud)$36/month
    • Compute and storage charges
    • Multi-node HA
    • Unlimited VPCs

Which should you pick?

Choose Cockroach Labs if

  • You need distributed sql.
  • You want to start without paying.
  • You work on AWS, GCP, Azure.
  • You also want automatic sharding.

Choose TimescaleDB if

  • You need time-series optimization.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
  • You also want postgresql extension.

Questions people ask

Is Cockroach Labs or TimescaleDB better?
Neither clearly leads. Cockroach Labs starts at Free and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cockroach Labs or TimescaleDB?
Cockroach Labs starts at Free and TimescaleDB at Free.
Does Cockroach Labs or TimescaleDB run on more platforms?
Cockroach Labs runs on AWS, GCP, Azure. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use Cockroach Labs for free?
Both have a free tier, so you can try either at no cost before committing.
What is Cockroach Labs best used for?
Cockroach Labs is most often used for distributed sql database for scalable applications, multi-region deployment and failover. Of those, distributed sql database for scalable applications and multi-region deployment and failover are not what TimescaleDB is typically brought in for.
What can Cockroach Labs do that TimescaleDB cannot?
Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates.

Answered from the vendors’ own pages

TimescaleDB: Is TimescaleDB free?

Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.

Source
TimescaleDB: What database does TimescaleDB run on top of?

TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem tools.

Source
TimescaleDB: How much can TimescaleDB compress data?

TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.

Source
TimescaleDB: Does TimescaleDB require manual partitioning?

No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.

Source
TimescaleDB: What PostgreSQL versions does TimescaleDB support?

As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.

Source

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