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TimescaleDB vs InfluxDB

TimescaleDB logo

TimescaleDB

Software

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

From
Free
Rated
-
Full reviewWebsite
InfluxDB logo

InfluxDB

Software

Purpose-built time series database for metrics and events

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput; InfluxDB high-cardinality data causes memory pressure and performance degradation
  • They diverge on capability: TimescaleDB covers Time-series Optimization, InfluxDB covers Time-series Storage.

Where they differ

Only the attributes on which TimescaleDB and InfluxDB actually diverge.

Attributes where TimescaleDB and InfluxDB differ
AttributeTimescaleDBInfluxDB
PlatformsLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure

Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated), category (Unknown), founded (2012).

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 InfluxDB

  • Time-series Storage
  • Flux Query Language
  • High Write Throughput
  • Data Compression
  • Retention Policies
  • Continuous Queries
  • Built-in Dashboards
  • Kapacitor

Both cover

  • Grafana
  • Prometheus
  • Telegraf
  • Linux support
  • Windows support
  • Mac support
  • Docker support
  • Web support

What people use each for

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

TimescaleDB

  • Monitoring
  • IoT data
  • Financial data
  • Log analytics
  • Observability

InfluxDB

  • Monitoring
  • IoT data
  • Financial data
  • Log analytics
  • Observability

Both are used for monitoring, iot data, financial data, log analytics, observability, on those jobs the choice comes down to price and fit rather than capability.

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

InfluxDB

  • High-cardinality data causes memory pressure and performance degradation
  • No support for joins or transactions like relational databases
  • Queries limited to 72-hour window in InfluxDB 3 OSS Core
  • Clustering and authentication features absent from community version

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

InfluxDB

Free
  • Cloud Serverless FreeFree
    • 5 MB writes per 5 minutes
    • 300 MB queries per 5 minutes
    • 30 day retention
  • Cloud Serverless Usage-Based$null/mo
    • 0.0025 USD per MB ingested
    • 0.012 USD per 100 queries
    • 0.002 USD per GB-hour storage

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.
TimescaleDB review

Choose InfluxDB if

  • You need time-series storage.
  • You want to start without paying.
  • You work on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure.
  • You also want flux query language.
InfluxDB review

Questions people ask

Is TimescaleDB or InfluxDB better?
Neither clearly leads. TimescaleDB starts at Free and InfluxDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, TimescaleDB or InfluxDB?
TimescaleDB starts at Free and InfluxDB at Free.
Does TimescaleDB or InfluxDB run on more platforms?
TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure). InfluxDB runs on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, 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.
What can TimescaleDB do that InfluxDB cannot?
TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. InfluxDB covers Time-series Storage, Flux Query Language, High Write Throughput, Data Compression. Both handle Grafana, Prometheus, Telegraf, Linux support.

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
InfluxDB: Is there a free tier and what are the limits?

InfluxDB 3 Core OSS is free forever for local development and prototyping. Cloud Serverless free tier includes 5 MB writes per 5 minutes, 300 MB queries per 5 minutes, 30 day retention, and 2 databases.

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
InfluxDB: Can I self-host InfluxDB?

Yes, InfluxDB 3 Core is fully open source and can be self-hosted with no license required. InfluxDB 3 Enterprise is self-managed and includes a 30-day free trial.

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
InfluxDB: What are the series cardinality limitations?

InfluxDB is sensitive to high-cardinality data. High cardinality increases RAM usage and can trigger out-of-memory errors, making it unsuitable for some workloads with many unique tag combinations.

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
InfluxDB: Does InfluxDB support SQL queries?

InfluxDB has limited SQL support. Full SQL is available in InfluxDB 3, but earlier versions support only specific SQL commands and use InfluxQL as the primary query language.

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
InfluxDB: Can I export my data from InfluxDB?

Yes, data can be exported from InfluxDB using query results. However, the process and supported formats depend on the version and deployment type you are using.

Source
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