This document provides a benchmark comparison of Couchbase, Cassandra, and MongoDB for interactive applications with high in-memory data loads. It describes the key criteria for databases used in these applications, including scalability and low latency performance. The infrastructure and settings for benchmarking the databases are outlined. Results are then shown for read, insert, and update latencies as well as 95th percentile times. Finally, the document analyzes the results and concludes that Couchbase is well-suited for interactive applications requiring low latency access to large, in-memory datasets.
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