CockroachDB vs SingleStore

Distributed SQL has become the go-to choice for modern applications, offering the scalability, resilience, and performance needed in today’s global landscape while also delivering the critical transactional consistency required by operational databases.

In this comparison, we look at CockroachDB alongside SingleStore, an HTAP database that combines OLTP + OLAP and as a result introduces tradeoffs in consistency, isolation, and operational control — particularly under high-concurrency, latency-sensitive transactional workloads.

Why leading enterprises choose CockroachDB

Transactions

CockroachDB was architected for complex, high performant distributed transactions with serializable isolation as the default.

Geo Partitioning

Supports geo-partitioning with zone configurations for data locality, compliance, and low latency.

Multi-Region

Synchronous replication across regions, cloud providers, on-premises, or hybrid with Raft consensus for fault tolerance and strong consistency.

Side-by-side comparison

Features

Distributed ACID Transactions

Fully supported with serializable isolation using distributed consensus (Raft Protocol); strong ACID guarantees

Supported via 2Phase Commit across partitions, but not across nodes

Auto Sharding (Dynamic Re-sharding Online)

Yes. Automatically shards data into ranges with dynamic splitting, merging, and rebalancing online

No. Number of shards fixed at table creation; no dynamic resharding without downtime

Multi–Active

Yes, fully multi–active multi-region with all nodes readable/writable and handle connection nodes

No support

Geo Partitioning (Multi-Region Data Affinity / Stretch)

Yes, supports geo-partitioning with zone configurations for data locality, compliance, and low latency

No support for geo-partitioning or multi-region stretch clusters

SQL Compatibility

Strong ANSI SQL with complex queries, joins, window functions, triggers, stored procedures, and UDFs

Strong ANSI SQL support including joins, UDFs, stored procedures

Transaction Isolation Levels

Serializable (strongest standard isolation level) & Read Committed

Read Committed only

Foreign Keys Support

Legacy languages (e.g., COBOL, FORTRAN), Java, Python, etc.

Contemporary languages (e.g. Python, Java, etc.)

Triggers & Deferrable Constraints

Yes, enforced at commit time

Follower Reads

Yes, reads can be requested as of a specific time. This is useful to read data from the closest replica when consistency is less important than performance.

^{Comparison data as of November 2025}