Migration Playbook: Elasticsearch (Elastic NV) → AWS OpenSearch / ClickHouse
Elasticsearch to OpenSearch & ClickHouse Migration
Escape Elastic NV licensing restrictions and high hosting markups by splitting search into OpenSearch and high-scale logs into ClickHouse.
Migration Drivers
Why companies migrate away from Elasticsearch (Elastic NV)
Restrictive SSPL Licensing Costs
Commercial license fees and cloud provider restrictions imposed by Elastic NV.
Expensive Long-Term Log Storage
Elasticsearch JVM and memory overhead making petabyte log storage cost-prohibitive.
High Cluster Management Overhead
Frequent shard rebalancing and garbage collection freezes under high-volume log ingestion.
Execution Sequence
The 4-Phase Zero-Downtime Blueprint
Our structured migration process ensures uninterrupted production uptime, continuous data synchronization, and rollback safety.
Workload Separation Analysis
Categorizing cluster data into text search queries (OpenSearch) vs time-series analytics (ClickHouse).
OpenSearch Full-Text Search Deployment
Snapshot and restore migration for search indexes with zero schema changes.
ClickHouse Columnar Ingestion Pipeline
Streaming log events to ClickHouse MergeTree tables, slashing storage footprint by 80%.
Query Layer Routing & Elastic Sunset
Updating application query clients and decommissioning legacy Elasticsearch nodes.
Risk Prevention
Pitfalls that derail this migration
Attempting to Use ClickHouse as Full-Text Search
ClickHouse excels at structured filtering and aggregation, but OpenSearch remains superior for fuzzy BM25 text relevance.
Index Snapshot Version Incompatibilities
Direct snapshot restores failing across major version jumps without intermediate re-indexing.
Neglecting ClickHouse Part Size Optimization
Sending millions of tiny single-row inserts rather than batching writes, leading to too many parts errors.
Migration FAQs
Frequently asked migration questions
For Elasticsearch 7.10 APIs, OpenSearch is 100% wire-compatible and supports standard client SDKs without code changes.
ClickHouse columnar compression stores logs using 70-85% less disk space and executes aggregations across billions of rows in milliseconds.
Zero downtime, zero data loss, senior-only execution
Schedule a strategy call to review your architecture, data volume, and migration timeline with our cloud engineers.