Product

Exploring Big Data Technology with MemSQL

We are taking our message of blazing speed and real-time Big Data analytics on the road. Will you join us? We’ve hosted developer meetups at our headquarters in San Francisco, and we are now an official sponsors of Data Science DC. The developer community is very important to us — as we are developers ourselves — and we are excited to have the opportunity to collaboratively explore modern business issues and build evolving theories around database technology and the future of real-time...


Unsexy Database Features That Matter: Part 2

In the previous post, we talked about how you should focus on how people derive value from your product. Today we will focus on database management — your goal should always be 24/7 100% uptime. How People Manage A Database Product Deployment (time to get the system up and running) How much time does it take to get your product up and running? People have talked about barriers to entry for a long long time. The worst one is, “I couldn’t install your product so I gave up.” This is simply...


Unsexy Database Features That Matter: Part 1

As enterprise customers start to use your product in many different ways, new feature requests will start to flow into the product team. These features aren’t sexy features by any means, but every enterprise customer cares about them deeply, and we try to include as many customer feature requests as possible into every release, sexy or not. To really understand these unsexy features, we must examine two areas: How users derive value out of your product. How users manage a database product....


Myth Busters: Hadoop Real-time Batch Processing

Waiting sucks, as I’m sure you’d agree, and when it comes to analytics, the gravity of increasing data volumes has become a primary concern for both industry and IT professionals.  In order to deal with the volume and velocity of disparate data types, organizations have had to take an “assembly line”-like approach that requires significant batch processing. These factories are cobbled together using different software packages to ETL and transform data, which unfortunately creates...


Real-Time Data Fusion - The Final Frontier

In a recent discussion with an engineer from Facebook regarding the time value of data, it was continuously emphasized that the relevance of “hot” data vastly outweighed the importance of “cold” data when considering the daily/weekly/monthly monetization of their business. In order to exploit the hot data, complex data processing factories were created to facilitate the “conditioning” of raw JSON and structured data in order to ingest it into Scuba… a system they developed for...


Exploring In-Memory Databases at MemSQL Meetups

Many technologies are not adapting fast enough to solve modern data problems, and MemSQL is one emerging technology that seeks to bridge the gap. We recognize that these problems cannot be solved in a vacuum, which is why MemSQL seeks to foster a collaborative environment in which developers can work together to solve today’s Big Data challenges. We hosted our first Developer Meetup last month, and we’re looking forward to hosting our next Meetup on November 12 at our headquarters in...


Oracle Announces an In-Memory Technology, At an Ungodly Speed…And Cost

Oracle OpenWorld started yesterday, and Larry Ellison announced new in-memory options in Oracle 12c. According to PCWeek “The Big Memory Machine costs $3 million, a sum Ellison termed as ‘a fraction’ of what competitors charge.” The core of the newly announced Oracle technology is a columnar store. It is in fact a fascinating technology that leverages compression, vectorized execution using SIMD, and parallel query processing. However, this technology has been on the market for a long...


MemSQL to Present at XLDB Conference on Sept. 11

MemSQL is proud to be a part of this year’s XLDB conference, hosted by Stanford University next week on September 11. The 7th Extremely Large Database Conference is designed to help answer the growing need for systems and tools capable of managing and analyzing extremely large data sets, and will focus on practical solutions to capture and leverage big data. More than 98 percent of all the world’s stored information is digital, a drastic increase from 25% only thirteen years ago. Newer data...


ESG Lab Validates MemSQL's Real-Time Big Data Analytics Solution

Enterprise Strategy Group (ESG) recently performed a benchmark that established MemSQL’s distributed in-memory database as the standard for real-time, Big Data analytics. ESG validated that MemSQL delivers outstanding performance and linear scalability, superior reliability and durability, and the ability to support rapid growth. Download the FREE report. Tony Palmer, a senior ESG Lab analyst who performed the benchmark said, “Organizations today increasingly need a fast and easily scalable...


Learn How to Build Your Own Analytic Platform

Analytic platforms can be difficult to build, even more so when you need to factor in ingestion and querying of real-time data. With so many vendors making competing and overlapping claims, it’s easy to be overwhelmed. That’s why it’s important to take a step back and consider a third-party perspective. MemSQL is hosting a webinar next week with well-respected analyst Matt Aslett of 451 Research on key criteria that enterprises should keep in mind as they build analytic platforms to...