MySQL vs OpenSearch
- ✦ ACID Transactions (InnoDB)
- ✦ Replication
- ✦ Full-Text Search
- ✦ Full-text search
- ✦ k-NN vector search
- ✦ SQL query support
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
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.
Store document embeddings and run hybrid text+vector search with the k-NN plugin to improve retrieval accuracy
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.
Migrate from Elasticsearch to OpenSearch with API-compatible clients and keep the same application code
Route CloudWatch logs to OpenSearch Service via Kinesis for centralized log search without leaving AWS
Correlate AWS CloudTrail and VPC flow logs in OpenSearch to detect anomalous access patterns in near-real-time
Pricing Intelligence
MySQL Plans
Free tier available
- • GPL license
- • Full SQL
- • Community support
- • Commercial license
- • Oracle support
- • Advanced security
OpenSearch Plans
Free tier available
- • Apache 2.0 license
- • Self-hosted
- • Full features
- • From $0.096/hr per instance
- • Managed by AWS
- • Pay-as-you-go
Feature Matrix
9 differences found across 18 standardized features
- •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
- •Full-text search
- •k-NN vector search
- •SQL query support
- •Distributed sharding
- •ML inference nodes
- •Security plugin (built-in)
- •Observability dashboards
- •Anomaly detection
- •Index rollups
- •REST API
- •Cross-cluster replication
- •Snapshot to S3
- •ISM (Index State Management)
- •Alerting plugin
Pros & Cons Face-Off
Evaluative strengths and weaknesses: not feature lists
- +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
- +Apache 2.0 license - no SSPL restrictions
- +API-compatible with Elasticsearch for easy migration
- +Built-in security plugin at no extra cost vs Elastic
- −Feature development lags Elasticsearch in some areas
- −AWS-managed version has less flexibility than self-managed Elastic
At a Glance
Frequently Asked Questions
Related Comparisons
Sources
- 1.MySQL Official Pricing–Vendor pricing page
- 2.OpenSearch Official Pricing–Vendor pricing page
- 3.MySQL Official Website–Official product website
- 4.OpenSearch Official Website–Official product website