Author: Dale Deloy

Microservices Architecture

MemSQL Meets the Microservices Architecture

Microservices use distributed computing to isolate and scale application service components, and this is the hot trend for application development. MemSQL sees this trend continuing because of the prolific increase of real-time applications. These applications require deep analytics and a strategy for manageable components delivering speed and scale. Each application service component has its own independent service deployment and flexible data model. The goal is to allow developers to focus on...


smart-meter

MemSQL Manages Smart Meter Data with Leading Gas and Electric Utility Enterprise

Smart gas and electric meters produce huge volumes of data. A small MemSQL cluster of 5 nodes easily handles massive quantities of data like the workloads from leading gas and electric utility enterprises. In one particular use case, over 200,000 meter readings per second load into the MemSQL database while users simultaneously process queries against that data. Millions of meters sending between 10 and 30 sensor readings every hour leading to billions of rows of data. Just an initial part of a...


data ingest and concurrent analytics

Massive Data Ingest and Concurrent Analytics with MemSQL

The amount of data created in the past two years surpasses all of the data previously produced in human history. Even more shocking is that for all of that data produced, only 0.5% is being analyzed and used. In order to capitalize on data that exists today, businesses need the right tools to ingest and analyze data. At MemSQL, our mission is to do exactly that. We help enterprises operate in today’s real-time world by unlocking value from data instantaneously. The first step in achieving this...


lambda architecture

Rethinking Lambda Architecture for Real-Time Analytics

Big data, as a concept and practice, has been around for quite some time now. Most companies have responded to the influx of data by adapting their data management strategy. However, managing data in real time still poses a challenge for many enterprises. Some have successfully incorporated streaming or processing tools that provide instant access to real-time data, but most traditional enterprises are still exploring options. Complicating the matter further, most enterprises need access to...