Elasticsearch vs InfluxDB: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare Elasticsearch and InfluxDB across features, pricing, integrations, and community metrics. Elasticsearch / InfluxDB.

Feature

Elasticsearch

Database

InfluxDB

Database

Side-by-side comparison of developer tools

Distributed RESTful search and analytics engine

Scalable datastore for metrics, events, and real-time analytics

GitHub Stars

⭐ 76,617

⭐ 31,476

Contributors

👥 2,471

👥 690

Pricing

✓ Free

Enterprise: Contact sales

✓ Free

Enterprise: Contact sales

Languages

Java

Rust

Features

• Elasticsearch
• Java
• Search Engine

• Database
• Go
• Influxdb
• Metrics
• Monitoring

Integrations

• elasticsearch

No integrations listed

Momentum Score

79/100 (stable)

26/100 (stable)

Community Health

95/100 (excellent)

57/100 (moderate)

Maturity Index

93/100 (mature)

57/100 (growing)

Innovation Score

65/100 (progressive)

59/100 (progressive)

Risk Score (higher is safer)

87/100 (minimal)

53/100 (low)

Developer Experience

54/100 (needs-improvement)

Links

🌐 Visit Website View on GitHub

Elasticsearch Strengths

✓ More popular (76,617 stars)
✓ Larger community (2,471 contributors)

InfluxDB Strengths

✓ More features (5 listed)

When to Use Elasticsearch vs InfluxDB

Use Elasticsearch when its strengths align better with your stack and team needs, and choose InfluxDB when its ecosystem, integrations, or cost profile is a better fit.

Related comparisons

Elasticsearch vs Redis → InfluxDB vs Redis → Elasticsearch vs ClickHouse → InfluxDB vs ClickHouse → Elasticsearch vs TiDB → InfluxDB vs TiDB → Elasticsearch vs CockroachDB → InfluxDB vs CockroachDB → Elasticsearch vs MongoDB → InfluxDB vs MongoDB → Elasticsearch vs TimescaleDB → InfluxDB vs TimescaleDB →

More Comparisons

View Elasticsearch → View InfluxDB → Search More Tools →

Data source: GitHub API

Last updated: 5/1/2026