Building a real-time application starts with connecting the pieces of your data pipeline.
To make fast and informed decisions, organizations need to rapidly ingest application data, transform it into a digestible format, store it, and make it easily accessible. All at sub-second speed.
A typical real-time data pipeline is architected as follows:
Application data is ingested through a distributed messaging system to capture and publish feeds.
A transformation tier is called to distill...
by Mason Hooten
3x Spend Increase
“Between 2016 and 2019, spending on real-time analytics will grow three times faster than spending on non-real-time analytics.”
Every organization uses some form of analytics to monitor and improve their business. The growth of data has increased the impact of analytics and is a critical ingredient for delivering a successful digital business strategy.
Companies are using more real-time analytics, because of the pressure to increase the speed and accuracy of...
by Mike Boyarski
Success in the mobile advertising industry is achieved by delivering contextual ads in the moment. The faster and more personalized a display ad, the better. Any delay in ad delivery means lost bids, revenue, and ultimately, customers.
Manage, a technology company specializing in programmatic mobile marketing and advertising, helps drive mobile application adoption for companies like Uber, Wish, and Amazon. In a single day, Manage generates more than a terabyte of data and processes more than 30...
by Kevin White
Adoption of in-memory technology solutions is happening faster than ever. This stems from a three pronged demand – first, a greater number of users, analysts, and businesses need access to data. Second, the number of transactions is increasing globally, so companies need faster ingest and analytics engines. Finally, performance inconsistencies are the nail in the coffin for companies competing in the on-demand economy – these enterprises need the responsiveness in-memory technology...
by Emily Friedman
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...
by Neil Dahlke
Photo: Martin Taylor
We often hear “How can I use MemSQL together with my Oracle database?”
As a relational database, MemSQL is similar to an Oracle database, and can serve as an alternative to Oracle in certain scenarios. Here is what sets MemSQL apart:
MemSQL is a distributed system, designed to run on multiple machines with a massively parallel processing architecture. An Oracle database, on the other hand, resides in a single, large machine, or a smaller fixed cluster size.
by Steven Camina
To shed light on the state of the in-memory database market, we conducted a survey on the prevalent use cases for in-memory databases. Respondents included software architects, developers, enterprise executives and data scientists1. The results revealed a high demand for real-time capabilities, such as analytics and data capture, as well as a high level of interest in Spark Streaming.
Real-Time Needs for In-Memory Databases
It is no surprise that our survey results highlight real-time...
by Freja Mickos
In preparation for Open World, I asked some of our engineers to recreate a demo that Oracle has been using over the last year to show off their “in-memory option.” It’s impressive to look at: the demo shows the database searching through billions of records from Wikipedia search trend data for popular terms in less than a second.
The thing about Oracle’s demo is it runs on a gigantically expensive server. In fact it is the biggest one they have at 32TB of RAM and hundreds of CPU cores....
by Nikita Shamgunov