Migrate to ClickHouse for Real-Time Analytics at Any Scale
ClickHouse has become the go-to analytical database for engineering teams that need sub-second query performance on billions of rows without the per-query pricing of cloud warehouses or the operational overhead of legacy OLAP systems. Organizations migrating to ClickHouse consistently report 10–100x query speedups and dramatic infrastructure cost reductions.
BigData Boutique's ClickHouse experts design and execute migrations from Elasticsearch, Splunk, PostgreSQL, legacy data warehouses, and other OLAP systems to ClickHouse—with minimal downtime, validated data integrity, and optimized schemas from day one.
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Trusted By
10x–100x
Typical Query Speedup
30%+
Average Cost Reduction
0
Data Loss Migrations
Why Migrate to ClickHouse?
Unmatched Analytical Query Performance
ClickHouse's columnar storage, vectorized execution engine, and aggressive compression deliver analytical query performance that routinely exceeds competing systems by 10–100x. Queries that take minutes in PostgreSQL or Elasticsearch take milliseconds in ClickHouse, enabling real-time dashboards over billions of rows.
Dramatic Cost Savings
ClickHouse's compression ratios typically reduce storage requirements by 5–10x compared to row-oriented databases and Elasticsearch. Combined with its efficient use of compute, organizations migrating from Splunk, Elasticsearch, or cloud warehouses consistently achieve infrastructure cost reductions of 30–80%.
Real-Time Ingest at Scale
ClickHouse can ingest millions of rows per second with real-time durability, making it ideal for streaming analytics workloads fed by Kafka. Unlike traditional OLAP databases, ClickHouse handles high-frequency inserts efficiently without sacrificing query performance.
No Vendor Lock-In
ClickHouse is open source (Apache 2.0) with a thriving community and multiple managed cloud options (ClickHouse Cloud, Altinity.Cloud, self-managed on AWS/GCP/Azure). You own your data and your deployment without per-query pricing or proprietary lock-in.
Common ClickHouse
Migration Scenarios
Elasticsearch or OpenSearch to ClickHouse
Organizations using Elasticsearch or OpenSearch for log analytics and time-series aggregations often hit performance and cost ceilings as data volumes grow. We migrate these workloads to ClickHouse, maintaining the real-time ingest pipeline via Kafka while delivering dramatically faster analytical queries.
Splunk to ClickHouse
For organizations using Splunk primarily for log aggregation and analytics rather than full-text search, ClickHouse is the most cost-effective replacement. We replicate Splunk's SPL queries in ClickHouse SQL and migrate your ingestion pipeline to Kafka or Fluent Bit, saving 60–80% on infrastructure.
PostgreSQL or MySQL to ClickHouse
OLTP databases struggling under analytical query loads benefit enormously from offloading analytics to ClickHouse. We design CDC pipelines using Debezium or ClickHouse's native PostgreSQL replication to keep ClickHouse synchronized with your operational database in real time.
Legacy Data Warehouse to ClickHouse
Redshift, BigQuery, Snowflake, and on-premise data warehouses each have cost and performance trade-offs that ClickHouse often addresses more effectively for high-frequency analytical workloads. We design migration strategies that leverage ClickHouse's query federation and table functions for incremental migrations.
The BigData Boutique
Migration Approach
Schema & Workload Assessment
We analyze your source system's schema, query patterns, and access profiles to design the optimal ClickHouse table engines, partitioning strategies, and sorting keys for your specific workload.
Zero-Downtime Migration
We migrate historical data and establish real-time replication pipelines, running source and ClickHouse in parallel until validation is complete. Cutover is performed during low-traffic windows with immediate rollback capability.
Query Optimization
We translate your existing queries to ClickHouse SQL and optimize them for ClickHouse's execution model—adding materialized views, tuning aggregating merge trees, and designing dictionary lookups for maximum query performance.
Post-Migration Support
We provide post-migration support and performance tuning to ensure your ClickHouse cluster continues to deliver optimal performance as data volumes and query patterns evolve over time.
Ready to Migrate to ClickHouse?
Schedule a free ClickHouse migration consultation. We'll assess your current analytics stack, estimate the performance gains and cost savings you can expect, and outline a migration plan that gets you to ClickHouse safely and quickly.