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Deterministic databases can improve the performance of distributed workload by eliminating the distributed commit protocol and reducing the contention cost.Unfortunately,the current deterministic scheme does not consider the performance scalability within a single machine.In this paper,we describe a scalable deterministic concurrency control,Deterministic and Optimistic Concurrency Control (DOCC),which is able to scale the performance both within a single node and across multiple nodes.The performance improvement comes from enforcing the determinism lazily and avoiding read-only transaction blocking the execution.The evaluation shows that DOCC achieves 8x performance improvement than the popular deterministic database system,Calvin.