TECH_COMPARISON

SingleStore vs ClickHouse: A Detailed Comparison for System Design

SingleStore vs ClickHouse: compare real-time analytics databases on ingestion speed, query performance, SQL support, and operational model.

18 minUpdated Apr 25, 2026
singlestoreclickhousedatabases

SingleStore vs ClickHouse

SingleStore (formerly MemSQL) and ClickHouse are both real-time analytics databases, but they serve different segments: SingleStore bridges OLTP and OLAP, while ClickHouse is a pure OLAP powerhouse.

Architecture Differences

SingleStore uses a two-tier architecture: aggregator nodes (query routing and result combination) and leaf nodes (data storage and processing). It supports both rowstore (in-memory, OLTP-optimized) and columnstore (disk-based, OLAP-optimized) tables in the same database.

ClickHouse uses a MergeTree family of storage engines optimized for analytical workloads. Data is stored in columnar format with heavy compression, sorted by primary key for efficient range scans. The distributed table engine enables cross-node queries.

Performance Characteristics

ClickHouse is consistently among the fastest analytical databases in benchmarks. Its columnar storage, vectorized query execution, and aggressive compression deliver query performance that few systems can match for pure analytics.

SingleStore's unique value is unified processing. You can run OLTP transactions on rowstore tables and OLAP queries on columnstore tables within the same query, enabling real-time operational analytics without ETL.

Trade-offs

ClickHouse lacks multi-row ACID transactions and is not designed for point lookups or OLTP workloads. It is a purpose-built analytics engine. SingleStore handles both but may not match ClickHouse's pure analytical performance.

ClickHouse is fully open source (Apache 2.0), while SingleStore requires a commercial license. For cost-sensitive analytics workloads, ClickHouse's licensing advantage is significant.

Data Ingestion

Both handle high ingestion rates, but ClickHouse's MergeTree engine is specifically designed for high-throughput batch inserts. SingleStore's rowstore provides low-latency individual inserts, making it better for streaming updates.

Real-World Usage

SingleStore powers Uber's real-time analytics, Akamai's security analytics, and Samsung's IoT platform. ClickHouse runs analytics at Cloudflare, eBay, Lyft, and Deutsche Bank.

Learn about OLAP architectures and real-time analytics. See our system design guide and pricing.

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