PERFORMANCE

New Year, New FAQs

Floyd Smith

As interest in MemSQL increases, we get many questions about how MemSQL works, how to get started with it, and more. Performance reviews website G2.com has a MemSQL Q&A section where potential customers can ask questions. Here are some of the questions we hear most often – with answers – lightly edited, for context and clarity.

Q. What is the advantage of MemSQL over other distributed databases?

A. Compared to relational databases – those which support SQL – we believe that MemSQL is the fastest, most efficient SQL database. MemSQL features full, linear scalability, unlike competitors. We also handle both transactions and analytics in one database, as described by customers in the reviews on G2.com

Compared to NoSQL, MemSQL is at least as scalable, far more efficient with machine resources, and of course, unlike NoSQL databases, we have full ANSI SQL support. MemSQL also supports data types, such as JSON and geospatial data, that may otherwise only be supported by NoSQL databases. 

Q. How to simplify scaling of a MemSQL cluster? We would like our microservices to use-in memory processing and storage for analytics purposes.

A. This question does seem particularly pertinent to microservices, as you are more likely to have multiple data stores. There are several parts to the answer: 

  1. This tutorial describes how to scale your cluster for optimal performance. 
  2. You can use Kubernetes, specifically the MemSQL Kubernetes Operator, to scale clusters flexibly. 
  3. With MemSQL Helios, our elastic managed service in the cloud, you simply send a request, and MemSQL will quickly rescale the cluster for you. 
  4. For more specifics, please use the MemSQL Forums to give a more detailed description and get a more detailed answer – or file a support ticket, if you have an Enterprise license. 
  5. Alternatively, contact MemSQL directly for more in-depth information. 

Q. Is MemSQL a row-based or column-based store?

A. We are happy to report that the answer is: Yes. MemSQL supports both rowstore and columnstore tables in the same database (or separate databases), with the ability to efficiently run JOINs and other SQL operations across both table types. We also support new capabilities, under the umbrella of MemSQL SingleStore, which will gradually unify the two table types for most workloads; see the description of SingleStore-related changes in MemSQL 7.0, below. And see the MemSQL review comments on G2.com for more information about rowstore and columnstore tables, and also contact MemSQL directly.

Rowstore transaction tables and columnstore analytics tables are merging into SingleStore over time.

Q. What is the relationship between MemSQL and MySQL?

A. MemSQL and MySQL are both ANSI SQL-compliant, so the same queries work on both – as is, or with minor changes. In addition, MemSQL directly supports the MySQL wire protocol for connectivity. 

Q. What versions of MemSQL are available?

A. The current version, MemSQL 7.0, is the only version available. MemSQL 7.0 is available for (free) download and is also the version that powers MemSQL Helios, our on-demand, elastic, managed service in the cloud. (Helios is compared to other cloud databases in the table below.) Some existing MemSQL customers are still running older versions, as is typical with infrastructure software.  

MemSQL Helios beats Mongo, Oracle Cloud, and Amazon Aurora for features.

Q. Where can I go for help if I do not have access to paid support?

A. Please visit the MemSQL Forums

Q. How can I get a copy of MemSQL?

A. You can use MemSQL for free. You can download a fully capable version of the MemSQL software for use on your on-premises servers or in the cloud. This comes with community support and has fairly liberal capacity constraints. Alternatively, you can get a free 8-hour trial of MemSQL Helios, our elastic managed service in the cloud. Or, contact MemSQL to discuss using MemSQL for a proof of concept enterprise. 

 

MemSQL Helios eclipse
Introducing
MemSQL Helios
The World’s Fastest Cloud Database