New MemSQL Ops Comes with Database Speed Test

By Steven Camina on June 30th 2015 in Announcements, Product

MemSQL Ops 4.0.31 is now available for download! For this release, we have maintained a focus on providing the smoothest possible on-ramp for developers to quickly get productive with MemSQL. We believe enterprise-class software should be easy to install or use. Here are the new features of the latest MemSQL Ops release, available today. Note […]

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Tapjoy is Powering its Mobile Ad Platform with MemSQL

By Emily Friedman on June 29th 2015 in Case Study, real-time

Over the past several months, we worked closely with the Tapjoy data science and engineering team to implement MemSQL as the database to power their Mobile Marketing Automation and Monetization Platform. In order to deliver optimized ads to over 500 million global users and support over one million transactions per minute, Tapjoy needed a database […]

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Join MemSQL at the Inaugural In-Memory Computing Summit

By Kevin White on June 25th 2015 in Events, In-Memory

The inaugural In-Memory Computing Summit begins next week, June 29-30, and we are thrilled to be a part of it. From speaking sessions on Spark and customer use cases, to games and giveaways, you will not want to miss the action. Visit us at booth #4 to pick up our brand new t-shirt, and learn […]

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Top 5 Questions Answered at Spark Summit

By Conor Doherty on June 23rd 2015 in Events, Spark

The MemSQL team enjoyed sponsoring and attending Spark Summit last week, where we spoke with hundreds of developers, data scientists, and architects all getting a better handle on modern data processing technologies like Spark and MemSQL. After a couple of days on the expo floor, I noticed several common questions. Below are some of the […]

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Essential Resources for Apache Spark

By Lesia Myroshnichenko on June 19th 2015 in Case Study, Geospatial, Spark

There’s no doubt about it. Apache Spark is well on its way to becoming a ubiquitous technology. Over the past year, we’ve created resources to help our users understand the real-world use cases for Spark as well as showcase how our technologies compliment one another. Now, we’ve organized and consolidated those materials into this very post. Videos Pinterest […]

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Modeling the City of the Future with Kafka and Spark

By Emily Friedman on June 15th 2015 in Spark

Today at Spark Summit in San Francisco, we are showcasing MemCity, a simulation that measures and maps the energy consumption across 1.4 million households in a futuristic, metropolitan city, approximately the size of Chicago. MemCity tracks, processes, and analyzes data from various energy devices that can be found in homes, measured by the minute in […]

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Join MemSQL at Spark Summit

By Kevin White on June 11th 2015 in Events, Spark

We’re excited to be at Spark Summit next week in our hometown of San Francisco. If you’re attending, stop by booth K6 for games and giveaways, and checkout our latest demo that showcases how organizations are using MemSQL and Spark for real-time analytics. Meet with us at Spark Summit Schedule an in-person meeting or demo […]

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What We Talk About When We Talk About Real-Time

By Conor Doherty on June 6th 2015 in Industry, real-time

The phrase “real-time,” like love, means different things to different people. At its most basic, the term implies near simultaneity. However, the amount of time that constitutes the “real-time window” differs across industries, professions, and even organizations. Definitions vary and the term is so often (ab)used by marketers and analysts, that some dismiss “real-time” as […]

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Run MemSQL in Minutes with Docker

By Carl Sverre on June 4th 2015 in Docker, Engineering

Evaluating software infrastructure is important, but it should not be difficult. You should be able to try and see quickly whether a piece of core software suits your needs. This is one of the many helpful use cases for Docker. Of course Docker has many more uses, including helping run a 107 node cluster with […]

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Finding and Solving Bottlenecks in Your System

By Carlos Bueno on May 29th 2015 in Capacity Planning

Read data in, write data out. In their purest form, this is what computers accomplish. Building a high performance data processing system requires accounting for how much data must move, to where, and the computational tasks needed. The trick is to establish the size and heft of your data, and focus on its flow. Identifying […]

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Powering Digital Advertising.

Learn how Ziff Davis uses MemSQL to track and analyze millions of impressions in real time.

  Read the Case Study

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