Compare Amazon Aurora vs. MemSQL

Amazon Aurora is ranked 33rd in Relational Databases while MemSQL is ranked 22nd in Relational Databases. Amazon Aurora is rated 0, while MemSQL is rated 0. On the other hand, Amazon Aurora is most compared with , whereas MemSQL is most compared with SQL Server, CockroachDB and MySQL.
Cancel
You must select at least 2 products to compare!
Amazon Aurora Logo
18 views|14 comparisons
MemSQL Logo
3,505 views|3,112 comparisons
Ranking
33rd
Views
18
Comparisons
14
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
22nd
Views
3,505
Comparisons
3,112
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Microsoft, Oracle, IBM and others in Relational Databases. Updated: May 2020.
418,901 professionals have used our research since 2012.
Top Comparisons
Compared 17% of the time.
Compared 16% of the time.
Compared 15% of the time.
Learn
Amazon
MemSQL
Video Not Available
Overview

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.

MemSQL is The No Limits Database™, powering modern applications and analytical systems with a cloud-native, massively scalable architecture for maximum ingest and query performance with the highest concurrency. MemSQL envisions a world where every business can make decisions in real time and every experience is optimized through data. Global enterprises use the MemSQL distributed database to easily ingest, process, analyze, and act on data in order to thrive in today’s insight-driven economy. MemSQL is optimized to run on any public cloud or on-premises with commodity hardware. To learn more, visit our Product page - https://msql.co/2xUDAqL. To use MemSQL, get started with a free trial - https://msql.co/2NZOAy9.

Headquartered in San Francisco, CA with offices in Seattle, WA and Portland OR, MemSQL has raised $110M from top investors including GV, Accel Partners, and Khosla Ventures, among others. MemSQL is trusted by customers including Uber, Akamai, Dell EMC, Samsung, Comcast, Kellogg, and more.

If you want to work at a company that celebrates diversity, innovation, leadership, and creativity every day, check out our openings on our Careers page - https://msql.co/2RoTZgn.

Offer
Learn more about Amazon Aurora
Learn more about MemSQL
Sample Customers
Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, FanduelUber, Akamai, Dell EMC, Samsung, Comcast, Kellogg
Top Industries
No Data Available
VISITORS READING REVIEWS
Software R&D Company41%
Comms Service Provider12%
Media Company7%
Healthcare Company5%
Find out what your peers are saying about Microsoft, Oracle, IBM and others in Relational Databases. Updated: May 2020.
418,901 professionals have used our research since 2012.
We monitor all Relational Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.