CockroachDB vs MySQL

Architecture and scaling model

CockroachDB is a distributed SQL database that presents a PostgreSQL-compatible interface while automatically distributing and replicating data across nodes. It shards data into ranges, replicates each range using the Raft consensus protocol, and rebalances automatically, so adding nodes increases both read and write capacity without manual sharding. It is designed to survive node, zone, and region failures while preserving serializable consistency.

MySQL is a mature single-primary relational engine. Reads scale through replicas, but write scaling traditionally requires application-level sharding or middleware, which adds operational burden. For a large share of OLTP applications that fit comfortably on one primary with replicas, MySQL remains more than sufficient, and its simplicity is an advantage rather than a limitation.

Consistency and resilience

CockroachDB defaults to serializable isolation, the strongest level, and maintains consistency across regions through consensus, which suits financial and inventory systems that cannot tolerate anomalies or extended downtime. Its multi-region capabilities allow data domiciling and survival of an entire region outage. MySQL provides ACID transactions through the InnoDB engine with configurable isolation, and high availability is achieved through replication and tooling such as Group Replication or InnoDB Cluster, though failover and consistency across regions require more careful engineering.

Pricing and cost

MySQL itself is open source and free to run; cost comes from infrastructure and managed-service fees, which on cloud providers can be as low as a fraction of a dollar per gigabyte for storage and modest per-instance compute. CockroachDB Cloud bills serverless usage near $1 to $2 per million request units with storage charged per gigabyte, and Dedicated clusters around $0.60 to $1.20 per vCPU-hour. Small CockroachDB production clusters commonly land in the tens of thousands of dollars per year, with multi-region deployments materially higher, so the distributed capability carries a real cost premium over a single MySQL primary.

Ecosystem and migration

MySQL has one of the largest ecosystems in software, with universal driver support, deep documentation, and decades of operational knowledge, which lowers hiring and troubleshooting risk. CockroachDB's PostgreSQL wire compatibility eases adoption for teams familiar with Postgres, but some SQL features and behaviours differ, and distributed transactions introduce latency considerations that single-node MySQL does not have. Teams should benchmark their specific workload, because the distributed design that delivers survivability can add cross-node latency for certain transaction patterns.

User sentiment

Buyers frequently praise CockroachDB for delivering horizontal scale and multi-region survivability with strong consistency and minimal manual sharding, and value its PostgreSQL compatibility. The most common criticism is cost and operational complexity relative to a traditional single-node database, along with occasional SQL behaviour differences and cross-node latency for some transactions. MySQL users frequently highlight maturity, the breadth of tooling and talent, and low total cost as decisive advantages, while noting that scaling writes beyond one primary requires sharding or architectural work. Across both, practitioners advise matching the database to actual scale and availability requirements rather than anticipated growth, since CockroachDB's distributed benefits are wasted on workloads a single MySQL primary handles comfortably.

When to choose CockroachDB

Choose CockroachDB when you need horizontal write scaling, multi-region resilience with regional survivability, data domiciling for compliance, or serializable consistency across a distributed footprint. It fits always-on transactional applications that must outgrow a single primary.

When to choose MySQL

Choose MySQL when your workload fits a single-region primary with read replicas, when low cost and a vast ecosystem matter, or when operational simplicity and broad talent availability are priorities. It remains an excellent default for most OLTP applications.

Alternatives to both