real-time

Election 2016: Analyzing Real-Time Twitter Sentiment with MemSQL Pipelines

November is nearly upon us, with the spotlight on Election 2016. This election has been amplified by millions of digital touchpoints. In particular, Twitter has risen in popularity as a forum for voicing individual opinions as well as tracking statements directly from the candidates. Pew Research Center states that “In January 2016, 44% of U.S. adults reported having learned about the 2016 presidential election in the past week from social media, outpacing both local and national print...


MemSQL at OOW16

MemSQL and Oracle: Better Together

Oracle OpenWorld 2016 kicks off on September 18th in San Francisco with ten tracks, including a Data Center track highlighting innovation in databases including MemSQL and Oracle. We built MemSQL to be a flexible ecosystem technology, as exemplified by several features. First, we offer users flexible deployments – whether it’s hybrid cloud, on-premises, VMs, or containers. Second, our connector tools are open source, such as MemSQL Spark Connector and Streamliner, which lets you...


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...


Modern Database Characteristics

Characteristics of a Modern Database

Many legacy database systems are not equipped for modern applications. Near ubiquitous connectivity drives high-velocity, high-volume data workloads – think smartphones, connected devices, sensors – and a unique set of data management requirements. As the number of connected applications grows, businesses turn to in-memory solutions built to ingest and serve data simultaneously. Bonus Material: Free O’Reilly Ebook – learn how to build real-time data pipelines with modern...


Case Study: How Tradelab Enables Real-Time Bidding with MemSQL

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...


O'Reilly Webcast

Building Real-Time Data Pipelines through In-Memory Architectures [Webcast]

In the era of universal connectivity, the faster you can move data from point A to B the better. Equipping your organization with the ability to make frequent decisions in an instant offers information and intelligence advantages, such as staying one step ahead of the competition. This is especially important when incoming data is arriving at a relentless pace, in high volume, and from a variety of devices. As our customers tap into new sources of data or modify to existing data pipelines, we...


Market Making with MemSQL: Simulating Billions of Stock Trades in Real Time

I woke up around 7:30 AM on Monday August 24th, checked my phone while lying in bed, and saw that I had lost thousands of dollars in my sleep. Great way to start the week… I was not alone – few investors escaped “Black Monday” unscathed. The past several months have been full of sudden surges and declines in stock prices, and extreme volatility is apparently the “new normal” for global financial markets. Frequent and dramatic market swings put a high premium on access to...


Spark Streamliner

Build Real-Time Data Pipelines with MemSQL Streamliner

MemSQL Streamliner is now generally available! Streamliner is an integrated MemSQL and Apache Spark solution for streaming data from real-time data sources, such as sensors, IoT devices, transactions, application data and logs. The MemSQL database pairs perfectly with Apache Spark out-of-the-box. Apache Spark is a distributed, in-memory data processing framework that provides programmatic libraries for users to work with data across a broad set of use cases, including streaming, machine...


Geospatial Real-Time Apps

Locate This! The Battle for App-specific Maps

In early August, a consortium of the largest German automakers including Audi, BMW, and Daimler (Mercedes) purchased Nokia’s Here mapping unit, the largest competitor to Google Maps, for $3 billion. It is no longer easy to get lost. Quite the opposite, we expect and rely on maps for our most common Internet tasks from basic directions to on-demand transportation, discovering a new restaurant or finding a new friend. And the battle is on between the biggest public and private companies in the...