ClickHouse vs OpenSearch
- ✦ Column-oriented storage
- ✦ Vectorized query execution
- ✦ Real-time ingestion
- ✦ 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?”
Ingest clickstream events via Kafka, query 100B rows in under 1 second for live dashboards
Route CloudWatch logs to OpenSearch Service via Kinesis for centralized log search without leaving AWS
Store and query server logs at petabyte scale with 10x better compression than Elasticsearch
Correlate AWS CloudTrail and VPC flow logs in OpenSearch to detect anomalous access patterns in near-real-time
Count unique users and calculate click-through rates across billions of ad impressions in milliseconds
Replace InfluxDB with ClickHouse for metrics storage, gaining SQL query support and better compression
Migrate from Elasticsearch to OpenSearch with API-compatible clients and keep the same application code
Store document embeddings and run hybrid text+vector search with the k-NN plugin to improve retrieval accuracy
Pricing Intelligence
ClickHouse Plans
Free tier available
- • Self-hosted
- • Full features
- • Community support
- • $0.20/hr compute from
- • Free trial credits
- • Managed service
- • Dedicated resources
- • SLA
- • Enterprise support
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
3 differences found across 14 standardized features
- •Column-oriented storage
- •Vectorized query execution
- •Real-time ingestion
- •Kafka integration
- •SQL support
- •Distributed tables
- •Compression (LZ4/ZSTD)
- •Approximate query functions
- •Materialized views
- •Replicated tables
- •JSON support
- •Geospatial functions
- •Time-series optimizations
- •REST and native protocols
- •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
- +Fastest OLAP query performance for analytical queries at scale
- +Aggressive compression cuts storage costs 5-10x vs row-oriented DBs
- +Open source with full feature parity on self-hosted
- −Not designed for OLTP workloads or frequent row updates
- −Complex cluster configuration for self-hosted HA deployments
- +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.ClickHouse Official Pricing–Vendor pricing page
- 2.OpenSearch Official Pricing–Vendor pricing page
- 3.ClickHouse Official Website–Official product website
- 4.OpenSearch Official Website–Official product website