Introducing MemSQL Cloud

Introducing MemSQL Cloud

Today we announced a brand new managed service, MemSQL Cloud. We look forward to sharing more details with the industry and will be at AWS re:Invent at booth 2820. We have also put together a few questions and answers below. You can also take a peek at our news release launched today. Why is the time right for a managed real-time analytics platform-as-a-service? Application data is being born in the cloud at an ever growing rate. Cloud data is no longer just for media files and backups but...


Teespring Real-Time Analytics

How Teespring Enhances its eCommerce Platform with Real-Time Analytics

About Teespring Teespring is revolutionizing retail, giving entrepreneurs the opportunity to build and grow their brands via its ecommerce platform. Teespring makes it easy for anyone to create and sell high-quality products people love, with no cost or risk. Since 2012, Teespring has shipped more than fifteen million products around the world. Understanding Real-Time Buyer Activity Teespring was growing its community at a rapid pace. To further this growth, they wanted to connect vendors with...


Everything We’ve Known About Data Movement Has Been Wrong

Data movement remains a perennial obstacle in systems design. Many talented architects and engineers spend significant amounts of time working on data movement, often in the form of batch Extract, Transform, and Load (ETL). In general, batch ETL is the process everyone loves to hate, or put another way, I’ve never met an engineer happy with their batch ETL setup. In this post, we’ll look at the shift from batch to real time, the new topologies required to keep up with data flows, and the...


Kellogg Case Study

How Kellogg Reduced 24-Hour ETL to Minutes and Boosted BI Speed by 20x

Background About Kellogg Kellogg Company is the world’s leading cereal company, second largest producer of cookies, crackers, and savory snacks, and a leading North American frozen foods company. With 2015 sales of $13.5 billion, Kellogg produces more than 1,600 foods across 21 countries and markets its many brands in 180 countries. Driving Revenue with Customer Logistics Data Kellogg relies on customer logistics data to make informed decisions and improve efficiencies around shopping...


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...


MemSQL, Tableau, and the Democratization of Data

“We love fast databases. It makes the experience of interacting with your database that much more enjoyable.” – Tableau Today’s business decisions are about seconds, not minutes. To accommodate this trend, businesses have moved to evidence-backed decision making and widespread data access. Modern business intelligence tools abound, making it easier for the average analyst to create compelling visualizations. In this post, I’ll address how this new mode of thinking about...


MemSQL at Tableau Conference

Five Talks for Building Faster Dashboards at Tableau Conference

Tableau Conference 2016 kicks-off in Austin, Texas on November 7-11, offering data engineers and business intelligence pros a place to gather and learn how to utilize data to tell a story through analytics and visualizations. MemSQL will be exhibiting the native connectivity and high performance partnership with Tableau using the Tableau MemSQL connector at TC16. Additionally, MemSQL will present a new showcase application, MemSQL Springs: Real-Time Resort Demographic Analysis. This...


Exactly-Once Semantics

Getting to Exactly-Once Semantics with Apache Kafka and MemSQL Pipelines (Webcast On-Demand)

The urgency for IT leaders to bring real-time analytics to their organizations is stronger than ever. For these organizations, the ability to start with fresh data and combine streaming, transactional, and analytical workloads in a single system can revolutionize their operations. When moving from batch to real time, data architects should carefully consider what type of streaming semantics will optimize their workload. The table below highlights the nuances among different types of streaming...


real-time insights

Global Pulse of Real-Time Data: 16 Definitive Insights

Each morning, millions of individuals wake up to emails sent throughout the night, text messages, Facebook notifications, and reminders that we are only 1,000 steps away from hitting our weekly goal. And though we might bemoan the occasional alert reminding us to pay our rent or hit the gym, the truth is we live in a real-time world where technology has evolved to effortlessly guide us through every aspect of our day. So how do enterprises deliver seamless experiences to millions of consumers in...


Real-Time Analytics Case Study

AppsFlyer Shares Journey to Real-Time Analytics Using MemSQL

At Reversim Summit 2016, AppsFlyer, a SaaS mobile marketing analytics and attribution platform based out of Israel, presented their MemSQL use case. Yulia Trakhtenberg, Data Team leader at AppsFlyer, shared her team’s story and spoke about why the MemSQL in-memory scalable database provided the best solution for their problems. Problem AppsFlyer aggregates some 8 billion daily events in real time and their solution could not handle this amount of data using their current solution. Their team...