Elasticsearch vs MySQL
- ✦ Full-text search
- ✦ Inverted index
- ✦ Distributed sharding
- ✦ ACID Transactions (InnoDB)
- ✦ Replication
- ✦ Full-Text Search
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Build relevance-ranked search over product catalogs with typo tolerance and faceted filtering
MySQL's InnoDB full-text index supports natural language and boolean search queries on text columns without a separate Elasticsearch deployment for basic in-app search needs.
Ingest server logs via Logstash, store in Elasticsearch, visualize anomalies in Kibana in near-real-time
Correlate security events across systems using Elasticsearch SIEM to detect threats within minutes
Power autocomplete and faceted search across millions of SKUs with sub-100ms query latency
MySQL replication routes heavy analytical queries to a read replica, removing contention with write-heavy OLTP traffic and keeping application response times below 100ms during peak loads.
ProxySQL in front of MySQL pools thousands of application connections into tens of database connections, preventing connection exhaustion on deployments that scale web processes horizontally.
Pricing Intelligence
Elasticsearch Plans
Free tier available
- • Core search features
- • Self-hosted
- • Basic security
- • From $95/mo
- • Managed deployment
- • Kibana included
- • ML features
- • Cross-cluster search
- • Dedicated support
MySQL Plans
Free tier available
- • GPL license
- • Full SQL
- • Community support
- • Commercial license
- • Oracle support
- • Advanced security
Feature Matrix
10 differences found across 18 standardized features
- •Full-text search
- •Inverted index
- •Distributed sharding
- •JSON document storage
- •Aggregations
- •Geospatial queries
- •Vector search (kNN)
- •REST API
- •Index lifecycle management
- •Role-based access control
- •Kibana integration
- •Machine learning anomaly detection
- •Cross-cluster replication
- •Snapshot and restore
- •ACID Transactions (InnoDB)
- •Replication
- •Full-Text Search
- •JSON Support
- •InnoDB Cluster
- •MySQL Shell
- •Partitioning
- •Stored Procedures
- •Views & Triggers
- •Performance Schema
- •Point-in-Time Recovery
- •SSL/TLS
- •Row-Level Locking
- •HeatWave (MySQL Analytics)
- •Cloud Services
- •PHP Integration
Pros & Cons Face-Off
Evaluative strengths and weaknesses: not feature lists
- +Best-in-class full-text search with relevance tuning
- +Rich aggregation engine for log analytics and dashboards
- +Massive ecosystem with Logstash, Kibana, and Beats
- −SSPL license prevents use in competing managed services
- −Resource-intensive: requires significant heap memory for JVM
- +Most widely deployed database: abundant expertise and tooling
- +Battle-tested for 30 years on the web
- +HeatWave adds analytics and ML without ETL
- +Available managed on AWS RDS, Azure, GCP
- −PostgreSQL has surpassed it in features for new projects
- −Oracle ownership creates open-source licensing concerns
At a Glance
Frequently Asked Questions
Related Comparisons
Sources
- 1.Elasticsearch Official Pricing–Vendor pricing page
- 2.MySQL Official Pricing–Vendor pricing page
- 3.Elasticsearch Official Website–Official product website
- 4.MySQL Official Website–Official product website