Compare MemSQL to
Built for maximum ingest, fast query, and high concurrency to help you process, analyze, and act on data instantly. Available in the cloud, on Kubernetes, or on-premises.
Single server database that can be run in a cluster with limited scalability. MySQL stores data on disk and is often used with a caching layer.
MySQL Database Service
"The first database with true linear shared-nothing scalability, enabling essentially unlimited scale, proven from three leading industry benchmarks: TPC-C, TPC-H, and TPC-DS."
Architecture is not designed to handle analytics on rapidly changing real-time data.
Rapidly deploy the integrated software only environment on standard hardware for dramatically less complexity and manageability.
Requires a lot of manual efforts to maintain and manage the routine cluster operations.
|Deployment and Administration|
Devops enabled for rapid deployment, scale, on multi-cloud. Open platform runs with Kafka, Spark, HDFS, Kubernetes.
Upgrades are really painful. Extensive tooling support for devops is only available on the enterprise edition.
Scale-out architecture efficiently and quickly responds to growing workloads leveraging commodity hardware without add-ons or specialized tuning expertise.
Cannot scale-out well due to their single box architecture.
Ingesting streaming data in parallel with exactly-once semantics for direct, immediate processing or raw data & events from sources such as Kafka, Spark, S3 and data formats such as Parquet, JSON, and CSV. Common batch load methods are also supported.
Doesn't offer code generation and skiplist indices so as to offer optimal query performance for real-time analytics.
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