Compare/InfluxDB vs Timescale

InfluxDB vs Timescale

Category
Time Series Database
Updated
June 2026
Sources
14 indexed
Confidence
98% verified
Decision SummaryOur AI evaluation model recommends InfluxDB. It offers superior overall capabilities, stability, and value scores for general use cases.
InfluxDB logo

InfluxDB

By InfluxData

Score92

An open-source time series database optimized for high-performance and high-availability.

Performance91
Value Score91
Timescale logo

Timescale

By Timescale

Score90

A time series database built on top of PostgreSQL, offering high-performance and ease of use.

Performance89
Value Score90

Comparison Matrix

FeatureInfluxDBTimescale
Data Ingestion Rate
100,000 points/sec
50,000 points/sec
Query Performance
10ms
20ms
Data Compression
6:1
4:1
Scalability
Horizontal
Vertical
Licensing
Open-source
Open-source
Community Support
Large
Growing

Overall Score Comparison

Feature Benchmark Ratings

No comparative numeric features available to visualize.

InfluxDB Analysis

Pros

  • High-performance and scalable
  • Open-source and community-driven
  • Strong support for time series data

Cons

  • Steeper learning curve
  • Limited support for non-time series data

Timescale Analysis

Pros

  • Easy to use and integrate with existing PostgreSQL infrastructure
  • Flexible data modeling capabilities
  • Strong support for SQL queries

Cons

  • Lower data ingestion rate
  • Limited scalability compared to InfluxDB

AI Verdict

InfluxDB is the winner due to its high-performance, scalability, and strong support for time series data. However, Timescale is a strong contender due to its ease of use, flexibility in data modeling, and strong support for SQL queries.

Primary RecommendationInfluxDB, due to its high-performance and scalability
Alternative Use CaseInfluxDB, due to its open-source nature and large community

Frequently Asked Questions

What is the main difference between InfluxDB and Timescale?

InfluxDB is optimized for high-performance and scalability, while Timescale is built on top of PostgreSQL and offers ease of use and flexibility in data modeling.

Which database is more suitable for large-scale deployments?

InfluxDB, due to its horizontal scalability and high-performance.

Can I use Timescale with existing PostgreSQL tools?

Yes, Timescale is built on top of PostgreSQL and offers strong support for SQL queries and existing PostgreSQL tools.

Is InfluxDB suitable for non-time series data?

InfluxDB is optimized for time series data, but it can handle non-time series data with some limitations.

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Market Alternatives

Gemini UltraDeepSeek CoderMistral LargeLlama 3.3

Comparison Audit Summary

This dynamic audit side-by-side report for InfluxDB vs Timescale has been automatically generated using our proprietary AI model. The ratings, features, and final verdict represent an aggregate evaluation across official documentation, technical benchmarks, and market feedback as of June 2026.