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MemSQL’s Key Advantages Over MySQL

realtime
Speed
Accelerate business with instant insights delivered by the world’s fastest database for operational analytics
multicloud
Scale
Build your data future on a cloud platform made for the demands of the data revolution
memsql-database
Handle Hybrid Workloads
Ability to handle highly concurrent OLTP and OLAP (Hybrid) workloads in a single system
Database IconOverview
Description

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.

Database Model

Relational DBMS

Relational DBMS

DBaaS Offering

MemSQL Helios

MySQL Database Service

Bolt IconReal-Time Analytics
Data Ingest

"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.

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5 / 5
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1 / 5
Users IconManageability
Maintenance

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.

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5 / 5
Users IconUsers IconUsers IconUsers IconUsers Icon
3 / 5
Cloud IconDeployment and Administration
Flexibility

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.

Cloud IconCloud IconCloud IconCloud IconCloud Icon
5 / 5
Cloud IconCloud IconCloud IconCloud IconCloud Icon
3 / 5
Layer Group IconScalability
Architecture

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.

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5 / 5
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2 / 5
Rocket IconPerformance
Data Ingest

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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5 / 5
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3 / 5
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Make the Switch Today
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An Introduction to MemSQL

MemSQL Overview

Watch this video to learn how MemSQL works and why customers use it.
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Customer Success

MemSQL is Trusted by The World’s Top Brands

Tapjoy

60,000 Concurrent Queries per Second Across a Single Cluster

Real-time mobile ad optimization and overlap targeting analysis
Working with MemSQL, we gain an unprecedented advantage in real-time analytics, delivering effective models for our partners to increase engagement rates and boost revenue.
— David Abercrombie, Principal Data Analytics Engineer
Read the Case Study
Tapjoy
Tapjoy
Medaxion

Bringing Real-Time Decision-Making to MedTech

With MemSQL, Medaxion has found a solution to the analytics problems that plague companies across the health care sector and beyond.
By combining the ease of presentation and abstraction of Looker for analytics, with the technical prowess of MemSQL as the database behind Looker, we now have simply the best analytics in healthcare.
— John Toups, CTO
Read the Case Study
Medaxion
Medaxion

Try MemSQL Today

MemSQL is the cloud-native, operational database built for SPEED & SCALE. Spin up a trial and test out a sample workload today.
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    Industry-leading performance for your most important workload
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    Familiar, Standard, SQL at Scale
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    One database for every workload & infrastructure

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About MemSQL

MemSQL is The Database of NowTM for Modern Applications. Run both transactional and analytical workloads at scale with an integrated, familiar, durable SQL database
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