NoSQL DBaaS Performance: Couchbase Capella vs. MongoDB Atlas vs. Amazon DynamoDB vs. Redis Enterprise Cloud

This 2023 comparison evaluates the throughput and latency of four NoSQL databases as a service across different workloads and cluster configurations.

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    Why read this?

    NoSQL databases were developed to meet the demands of high-load, globally distributed applications, maximizing performance and uptime. At the same time, “as-a-service” model emerged to help engineers save time and money on cluster deployment, maintenance, and support.

    This report compares four popular NoSQL databases as a service (DBaaS): Couchbase Capella, MongoDB Atlas, Amazon DynamoDB, and Redis Enterprise Cloud. The study assesses the latency and throughput of the DBaaS systems across four workloads:

    • update-heavy (simulates scenarios for a typical e-commerce app, involving 50% of reads and 50% of updates)
    • read-only (simulates user profile cache, 100% reads)
    • short-range scan (simulates threaded conversations—95% scans and 5% updates)
    • pagination (simulates a selection by field—a single filtering option with an offset and a limit)

    Using the Yahoo! Cloud Serving Benchmark, the comparison was carried out on four different cluster configurations: 3, 6, 9, and 18 nodes.

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