MemSQL is headed to Gartner Business Intelligence and Analytics Summit next week. We’ll be focusing on real-time analytics with our own VP of Engineering kicking off a live demo on day one of the show.
For the following days, we’ll be tracking the hot topics in real-time analytics, the new Magic Quadrant for Data Warehouses, IoT, Spark, Relational Databases, In-Memory Computing, and Machine Learning
There are dozens of phenomenal sessions at Gartner BI. Our favorites are listed below and if...
by Lesia Myroshnichenko
It has been six months since we began hosting meetups regularly at MemSQL. Our office is located in the heart of SoMa, two blocks from the Caltrain station. At the new San Francisco epicenter of tech startups, we want to meet our neighbors and see what other cool technologies are out there! What better way than over cold brews, local pizza and deep tech talks.
In honor of the first official meetup of 2016, we decided to take a look back at the meetups of 2015, and share highlights from each...
Tradelab, a programmatic marketing platform company based in France, uses MemSQL to process and analyze real-time bidding data for hundreds of customers.
Challenge: NoSQL Data Latency
The Tradelab real-time ad serving platform requires a heavy mixed read/write workload, and the NoSQL database they had in place was introducing unnecessary data latency into the ad-bidding process. The company began searching for a replacement – a true real-time data management solution with two key...
Our CTO and co-founder Nikita Shamgunov recently sat down with Software Engineering Daily. In the interview, Nikita focused on the ideal use cases for an in-memory database, compared to a disk-based store, and clarified how MemSQL compares to MySQL. In this post, we will dig deeper into how we define the ‘in-memory database’ and summarize its benefits.
What is MemSQL?
MemSQL is a high-performance in-memory database that combines the horizontal scalability of distributed systems with...
We are thrilled to have Carlos Bueno, Product Manager at MemSQL and an expert in performance tuning, as the leader of many of our training efforts. Prior to working at MemSQL, Carlos held critical engineering roles at Facebook, Yahoo, and several startups. He is the author of “Lauren Ipsum”, a popular children’s novel that introduces kids to computer science, as well as “Mature Optimization”, Facebook’s manual on performance measurement and optimization.
We sat down with Carlos to...
Data is often considered to be the foundation of many global businesses. Data fuels daily operations, from customer transactions to analytics, from operations to communications. So we decided to answer the question: what’s hot and what’s not in working with data today?
HOT: Letting your database be a database
Databases were constructed to store data. However, sometimes applications are used to store data itself, a result of legacy database limitations. Storing data in an application makes...
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.
Pinterest Measures Real-Time User Engagement with Spark
Demo of real-time data pipeline processing and analyzing re-pins...
Here is the list of tags that keep MemSQL in sync:
We look forward to ad:tech San Francisco next week, May 20-21, and hope to see you there. Visit us at booth #1442 for games and giveaways, and learn how MemSQL can help you boost conversions through overlap ad targeting.
We will be showcasing our latest demo with Pinterest that features building real-time data pipelines with Kafka, Spark, and MemSQL. We also will be demonstrating our new real-time geospatial intelligence capabilities though our Supercar demo.
Meet with us at ad:tech
With Hadoop Summit Europe underway today, we wanted to share some thoughts on how MemSQL fits in to the Hadoop ecosystem.
While MemSQL and Hadoop are both data stores, they fill different roles in the data processing and analytics stack. The Hadoop Distributed File System (HDFS) enables businesses to store large volumes of immutable data, but by design, it is used almost exclusively for batch processing. Moreover, newer execution frameworks, that are faster and storage agonistic, are...