Elasticsearch vs Apache Spark

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

Feature

Elasticsearch

Database

Apache Spark

Data Processing

Side-by-side comparison of developer tools
Distributed RESTful search and analytics engine
Unified analytics engine for large-scale data processing
GitHub Stars
⭐ 76,445
⭐ 43,080
Contributors
👥 2,454
👥 3,407
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
Scala
Features
  • • Elasticsearch
  • • Java
  • • Search Engine
  • • Big Data
  • • Java
  • • Jdbc
  • • Python
  • • R
Integrations
  • • elasticsearch
No integrations listed
Momentum Score
74/100 (stable)
88/100 (stable)
Community Health
95/100 (excellent)
90/100 (excellent)
Maturity Index
89/100 (mature)
89/100 (mature)
Innovation Score
61/100 (progressive)
90/100 (pioneering)
Risk Score (higher is safer)
85/100 (minimal)
94/100 (minimal)
Developer Experience
49/100 (needs-improvement)
78/100 (good)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Elasticsearch Strengths

  • ✓ More popular (76,445 stars)

Apache Spark Strengths

  • ✓ Larger community (3,407 contributors)
  • ✓ More features (5 listed)

More Comparisons

View Elasticsearch → View Apache Spark → Search More Tools →

Data source: GitHub API

Last updated: 4/5/2026