Monitoring Made Simple with

Powerful Management Tooling

Quickly identify and improve query response with the MemSQL Studio interface. API driven deployment tooling deployment tooling accelerates installation and setup while plugging-in with existing management frameworks.
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MemSQL Studio
Monitor All Your Cluster Resources and Queries for Better Performance
Monitor Overall Cluster and Pipeline Health
Quickly see the health of clusters, databases, pipelines, and nodes including storage usage, database events, and pipeline activity
Query Profiler Delivers Historical Use Statistics
Collect query profiles to learn about the state of the cluster over a period of time to see what queries and resources are utilizing the most time
Visualize Query Plans for Faster Tuning
Quickly inspect and visualize query bottlenecks to pinpoint performance optimizations with an intuitive visual interface to help focus your query development efforts
Rapidly Build and Optimize Queries
Built-in query editor provides a fast more intuitive way to build, load, and run queries without switching tools
Explore Key Database Configurations
Perform at-a-glance inspections of clusters and databases with views of database names, structures, disk and memory utilization, partitions, and compression stats
Deploy and Manage Clusters like a DevOps Pro
chef puppet ansible
Simplify deployment by plugging-in with existing management frameworks.
memsql-deploy

memsql-deploy

Dramatically simplify MemSQL deployment to multiple host machines to install a MemSQL cluster. Perform uninstall and upgrade commands with single commands.
memsql-admin

memsql-admin

Perform a series of administration functions including creating and managing nodes. Run simple commands to create and delete nodes, assign a role, configure them into a cluster as well set licenses and configuration variables.
memsql-report

memsql-report

A pre-built report used to ensure hardware is optimally configured for running memsql. Run the command and get a pass/fail report across hardware, operating system, and overall cluster health before running production workloads.