MemSQL Data Visualization & Analytics

Big Data Analytics for MemSQL

Enterprise Ready

MemSQL is the real-time analytics solution you can run anywhere that ingests millions of events per second while analyzing petabytes of data for instant time to insight. It can consume real-time data continuously to perform analytics for the front lines of your business. You can ingest and transform millions of events of data while simultaneously analyzing billions of rows of data using standard SQL. Query traditional SQL, JSON, and geospatial data types in real time. Natively define streaming data consumption from Apache Kafka and Amazon S3 with a single command. Accept database inputs from MySQL, SQL Server, Oracle, Postgres, Teradata, and Redshift.

With its power and intelligence, the MemSQL platform can deliver analytics for operational applications, ad hoc queries and dashboards that require ultra fast data ingestion, and low latency queries with high user concurrency. It can run machine learning algorithms for real-time scoring and big data applications, and perform geoanalytic queries in real time.

MemSQL can easily analyze terabytes up to petabytes of data and support millions of customers on scale-out, industry standard hardware for fast, highly available results. Deploy on-premises, in the cloud or as a service including drop-in compatibility with existing middleware.

Zoomdata and MemSQL -- Fastest Visual Analytics

Zoomdata is the best visual analytics solution for MemSQL because it supports the full variety of workloads that MemSQL handles. Zoomdata’s stream processing technology is a great fit for the real-time applications that typically use MemSQL. And since MemSQL supports the full SQL syntax, Zoomdata and MemSQL make a powerful combination for big data exploration.

Featured Resources

MemSQL Data Visualization & Analytics

Zoomdata is the best visual analytics solution for MemSQL, supporting its full variety of workloads. Find out more!


Sales: +1-571-279-6166

General Inquiries: +1(571-279-6000)

[email protected]