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ScyllaDB Benchmarks

NoSQL Database Benchmarks

Selecting the best NoSQL database for your application is a business-critical task. That’s why we constantly compare ScyllaDB vs. other NoSQL databases for throughput and latency. Database latency determines your application speed, while database throughput defines how many users your application can service.

Database Benchmark

ScyllaDB vs Apache Cassandra   – Database Benchmark

  • ScyllaDB has 2x-5x better throughput and much better latencies than Cassandra 4.0
  • ScyllaDB adds and replaces nodes far faster than Cassandra 4.0
  • ScyllaDB finishes compaction 32x faster than Cassandra 4.0
  • A ScyllaDB cluster can be 10X smaller and 2.5X less expensive, yet still outperform Cassandra 4.0 by 42%
Database Benchmark

ScyllaDB vs DynamoDB – Database Benchmark

  • 40.9X (provisioned) to 282.5X (on-demand) lower costs
  • Up to 4X better P99 latency
  • Single-digital ms latencies without an external cache
  • No per partition rate limit or throttling
Database Benchmark

ScyllaDB vs MongoDB – Database Benchmark

  • Up to 20X higher throughput
  • Up to 68X lower P99 latencies
  • Up to 19X better price-performance
Database Benchmark

ScyllaDB vs Bigtable – Database Benchmark

  • ScyllaDB Cloud performs 26X better than Google Cloud Bigtable when applied with real-world, unoptimized data distribution
  • Google BigTable requires 10X as many nodes to accept the same workload as ScyllaDB Cloud
  • ScyllaDB Cloud was able to sustain 26x the throughput, and with read latencies 1/800th and write latencies less than 1/100th of Cloud Bigtable
Database Benchmark

ScyllaDB vs CockroachDB – Database Benchmark

  • Loading 10x the data into ScyllaDB took less than half the time it took for CockroachDB to load the much lesser dataset.
  • ScyllaDB handled 10x the amount of data.
  • ScyllaDB achieved 9.3x the throughput of CockroachDB at 1/4th the latency.
Database Benchmark

ScyllaDB vs Aerospike

  • Comparison from the code base on up, and why ScyllaDB’s underlying architecture is fundamentally designed for better scalability and performance
  • Differences in data models, query languages, and storage
  • How ScyllaDB and Aerospike compare for global deployment, consistency and consensus algorithms
  • A head-to-head performance comparison with a petabyte-scale workload, showing how ScyllaDB can provide up to 40% greater throughput on the same scale cluster

1:1 Office Hours

Schedule a technical consultation with a ScyllaDB Solution Architect.