Software · head to head
TimescaleDB vs Cockroach Labs

TimescaleDB
Software
Time-series database built on PostgreSQL for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput; Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only)
- They diverge on capability: TimescaleDB covers Time-series Optimization, Cockroach Labs covers Distributed SQL.
Where they differ
Only the attributes on which TimescaleDB and Cockroach Labs actually diverge.
| Attribute | TimescaleDB | Cockroach Labs |
|---|---|---|
| Pricing model | Unknown | freemium |
| Platforms | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) | AWS, GCP, Azure |
| Founded | 2012 | 2015 |
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 TimescaleDB
- Time-series Optimization
- PostgreSQL Extension
- Automatic Partitioning
- Continuous Aggregates
- Native Compression
- Full SQL Support
- Real-time Analytics
- PostgreSQL
Only in Cockroach Labs
- Distributed SQL
- Automatic Sharding
- Multi-region Replication
- Geo-partitioning
- ACID Transactions
- Horizontal Scaling
- Survivability
- PostgreSQL Compatibility
What people use each for
The jobs each tool is most often brought in to do.
TimescaleDB
- Monitoringnot Cockroach Labs
- IoT datanot Cockroach Labs
- Financial datanot Cockroach Labs
- Log analyticsnot Cockroach Labs
- Observabilitynot Cockroach Labs
Cockroach Labs
- Distributed SQL database for scalable applicationsnot TimescaleDB
- Multi-region deployment and failovernot TimescaleDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
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
Cockroach Labs
FreeNo published plan breakdown. See the Cockroach Labs review.
Which should you pick?
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.
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.
Questions people ask
- Is TimescaleDB or Cockroach Labs better?
- Neither clearly leads. TimescaleDB starts at Free and Cockroach Labs at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, TimescaleDB or Cockroach Labs?
- TimescaleDB starts at Free and Cockroach Labs at Free.
- Does TimescaleDB or Cockroach Labs run on more platforms?
- TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure). Cockroach Labs runs on AWS, GCP, Azure.
- Can I use TimescaleDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is TimescaleDB best used for?
- TimescaleDB is most often used for monitoring, iot data, financial data, log analytics. Of those, monitoring and iot data are not what Cockroach Labs is typically brought in for.
- What can TimescaleDB do that Cockroach Labs cannot?
- TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning.
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.
SourceTimescaleDB: 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.
SourceTimescaleDB: 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.
SourceTimescaleDB: 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.
SourceTimescaleDB: 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.
SourceRelated pages
More on TimescaleDB
More on Cockroach Labs
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