Analytics

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...


The Case for Advanced Analytics

Analytics is trending like never before. And with good reason. Organizations spanning multiple markets – from finance to energy, as well as retail, ecommerce, and media and communications – recognize the ability to quickly apply actionable insights using real-time analytics as a game-changer. Simply put, anticipating and adapting to rapidly evolving market dynamics as they occur is now a competitive imperative. How Advanced Analytics Drives Critical Success According to a recent Gartner...


real-time predictions

Predictions 2016: the Impact of Real-Time Data

Prediction 1. The industrial internet moves to real-time data pipelines The industrial internet knits together big data, machine learning, and machine-to-machine communications to detect patterns and adjust operations in near real time. Soon the industrial internet will expand by definition to include the Internet of Things. The detection of patterns and insights often comes with a price: time. While the goal of machine learning is to develop models that will prove useful, dealing with large...


Oracle and MemSQL Together

Using Oracle and MemSQL Together

Photo: Martin Taylor We often hear “How can I use MemSQL together with my Oracle database?” As a relational database, MemSQL is similar to an Oracle database, and can serve as an alternative to Oracle in certain scenarios. Here is what sets MemSQL apart: MemSQL is a distributed system, designed to run on multiple machines with a massively parallel processing architecture. An Oracle database, on the other hand, resides in a single, large machine, or a smaller fixed cluster size. MemSQL has...


Coinalytics Taps MemSQL to Fuel Blockchain Analytics

Bitcoin has occupied headlines of technology and business publications over the past several years. The concept of digital currency, or cryptocurrency, rocked the financial industry, and public opinion about the applications of Bitcoin continues to ebb and flow. Today, Bitcoin is being overshadowed by another technology: blockchain. Blockchain is a public ledger for Bitcoin and other cryptocurrencies. This is where the real money is, say payment industry experts. Blockchain is a distributed...


Q/A with Dan McCaffrey, VP Analytics, Teespring

One of the best parts of being a startup is getting to work with other startups – companies experiencing rapid growth get to share ideas and technology, and fortify the startup ecosystem. Yesterday we announced a new customer who exemplifies this: Teespring! Teespring is an on-demand ecommerce company that gives budding entrepreneurs the opportunity to build and grow their apparel businesses via its platform. Teespring uses MemSQL to power its sales analytics platform, which analyzes data in...


in-memory database survey

In-Memory Database Survey Reveals Top Use Case: Real-Time Analytics

To shed light on the state of the in-memory database market, we conducted a survey on the prevalent use cases for in-memory databases. Respondents included software architects, developers, enterprise executives and data scientists1. The results revealed a high demand for real-time capabilities, such as analytics and data capture, as well as a high level of interest in Spark Streaming. Real-Time Needs for In-Memory Databases It is no surprise that our survey results highlight real-time...