Developers love TimescaleDB

Explore how 
TimescaleDB compares 
to InfluxDB and others

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Timescale gives you the time-series performance you need for your critical workloads.

It's PostgreSQL with superpowers.
Influx comparison chart

Time-series databases are not the same

What to consider when selecting a time-series database.

TimescaleDB
InfluxDB
Amazon Timestream
Database foundation
Built on PostgreSQL, a proven foundation for your data
Proprietary
Unknown origin
License
Apache 2 OSI core + Source available, permissive, and free Timescale license
MIT License, Clustering available with paid Enterprise License only
Only available as a serverless DBaaS
Query language
Proprietary, FluxQL
SQL subset with additional functions. Some standard SQL commands missing
Data model
Relational
time-series and business data together in one place
NoSQL
tag-set support for time-series data only
NoSQL-like, focused on time-series data only
Ecosystem
Works with the entire PostgreSQL ecosystem
Limited
Limited
Query performance
Up to 7000x faster than InfluxDB, especially as cardinality increases
Competitive when cardinality of metric is small
Lackluster, particularly at scale, with no apparent ability to mitigate as a user.

Complex queries appear to cause locking when run in parallel
Ingest speed
High (Millions of data points per second, even at high cardinality)
Moderate (Less than one million metrics per second at moderate cardinality)
Low (hundreds of data points per second)
Scale
Stores 100s of terabytes on a single node, or petabytes across multiple nodes
Clustering and multi-node only available with Enterprise
Unlimited scale, although no control over resources or improving speeds.
High availability
Broad PostgreSQL tooling for backup/restore, replication, and failover
Proprietary tooling for backup/restore. 
Clustering only available with Enterprise
No control over backup/restore or PITR. No mechanism for performing backups or dumps
Cloud cost
Charges based on compute and storage. No limitation on queries, ingest, or output Save on storage with 94% compression
Charges based on queries, ingest, output and storage
Cloud charges based on queries, ingest, output and storage. Query costs add up quickly.

10%+ increased cost in some EU regions
Cloud availability
2000+ compute and storage configurations across 75 regions
Limited configuration across 
5 US/EU regions
AWS only with very limited region availability
TimescaleDB
InfluxDB
Database foundation
Built on PostgreSQL, a proven foundation for your data
Proprietary
License
Apache 2 OSI core + Source available, permissive, and free Timescale license
MIT License, Clustering available with paid Enterprise License only
Query language
Proprietary, FluxQL
Data model
Relational
time-series and business data together in one place
NoSQL
tag-set support for time-series data only
Ecosystem
Works with the entire PostgreSQL ecosystem
Limited
Query performance
Up to 7000x faster than InfluxDB, especially as cardinality increases
Competitive when cardinality of metric is small
Ingest speed
High (Millions of data points per second, even at high cardinality)
Moderate (Less than one million metrics per second at moderate cardinality)
Scale
Stores 100s of terabytes on a single node, or petabytes across multiple nodes
Clustering and multi-node only available with Enterprise
High availability
Broad PostgreSQL tooling for backup/restore, replication, and failover
Proprietary tooling for backup/restore. 
Clustering only available with Enterprise
Cloud cost
Charges based on compute and storage. No limitation on queries, ingest, or output Save on storage with 94% compression
Charges based on queries, ingest, output and storage
Cloud availability
2000+ compute and storage configurations across 75 regions
Limited configuration across 
5 US/EU regions

TimescaleDB vs. alternatives

See how TimescaleDB stacks up against and beats the competition.

TimescaleDB vs. InfluxDB and Amazon Timestream

TimescaleDB delivers faster query performance and data ingestion rates, provides wider, flexible cloud-hosted options (75+ regions, 2000+ possible configurations), and more.

Don’t just take it from us.

From high-cardinality requirements to built-in analytics functions and the ease of SQL, learn why developers choose TimescaleDB over alternatives.

TimescaleDB vs. vanilla PostgreSQL

While several PostgreSQL projects have developed scale-out options for OLTP workloads, time-series workloads represent a different kind of problem. Learn how TimescaleDB is purpose-built to add time-series capabilities to PostgreSQL.

TimescaleDB vs. NoSQL

NoSQL databases offer some advantages for many use cases, but time-series data is not one of them. TimescaleDB offers better performance and all the benefits of a reliable relational database.

Run your own benchmarks

Explore our free open-source tool, the Time Series Benchmark Suite.

Ready to make the move to TimescaleDB?