3 examples of how to save big with distributed SQL
1
Reduce application and ops overhead by 90% through automation
The total cost of data management is more than meets the eye. One Fortune 50 bank shared that three-fourths of their data management costs were related to labor associated with maintenance and operations. Distributed SQL reduces operations-related labor costs by 90% while still achieving an equal level of horizontal scale and performance compared to cloud PostgreSQL.
2
Cut revenue losses by eliminating 99.5% of unplanned downtime
Distributed SQL ensures business continuity through the dramatic reduction of unplanned downtime. For a global logistics company who switched to CockroachDB as their distributed SQL database, unplanned downtime and database-related outages became “vanishingly rare,” and lost revenue from unplanned maintenance was cut from millions of dollars down to "a rounding error."
3
Stay competitive by delivering new features 41% faster
Because distributed SQL is fundamentally easier to live with and radically less expensive to operate, every organization interviewed was able to refocus significant engineering resources on innovation — resulting in 41% faster roadmap delivery.
What customers are saying
The net result for us is a faster cycle time for application teams and fewer lines of code. 
We wanted one database that could do it all, and do it anywhere. Using CockroachDB means we will never have to rewrite the application to transition between on-prem to the cloud, or from one cloud provider to another, or even just add an additional cloud provider. For us, it’s future-proof.
Across the organization, we're required to practice and drill for black swan events, where we have to do cyber repave of hundreds or thousands of instances. For the teams using CockroachDB, it's a no-op… there's nothing for them to do. CockroachDB just heals itself. Teams on other databases we still have in use, though, they really have to scramble.
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