January 27, 2017AnalyticsMicroservices
Microservices use distributed computing to isolate and scale application service components, and this is the hot trend for application development. MemSQL sees this trend continuing because of the prolific increase of real-time applications. These applications require deep analytics and a strategy for manageable components delivering speed and scale.
Each application service component has its own independent service deployment and flexible data model. The goal is to allow developers to focus on...
by Dale Deloy
January 26, 2017case studyCase Study,apache spark,Real-time Analytics,Apache Spark
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
January 24, 2017meetupsResources
We love hosting meetups at MemSQL headquarters. Meetups give us a hands-on way to share what we have been working on, connect with the community, and get in-person feedback from people like you.
Last year we hosted meetups spanning topics from building real-time data pipelines to powering geospatial dashboards. We wanted to share a few highlights from our most memorable meetups in 2016.
MemSQL Meetups 2016: Year in Review
January 21, 2016 – Building Real-Time Digital Insight at Macys.com
by Lesia Myroshnichenko
January 17, 2017Industrydatabase,s-curve
Adaptation and Reinvention
Long term success hinges on adaptation and reinvention, especially in our dynamic world where nothing lasts forever. Especially with business, we routinely see the rise and fall of products and companies.
The long game mandates change, and the database ecosystem is no different. Today, megatrends of social, mobile, cloud, big data, analytics, IoT, and machine learning place us at a generational intersection.
Data drives our digital world and the systems that shepherd...
by Gary Orenstein
January 13, 2017machine learningMachine Learning,predictive analytics,Predictive Analytics
O’Reilly Media Editor, Jon Bruner, recently sat down with MemSQL VP of Engineering, Drew Paroski, and MemSQL CMO, Gary Orenstein, to discuss the rapid growth and impact that machine learning will have in 2017.
In this podcast, Paroski and Orenstein share examples from companies using real-time technologies to power machine learning applications. They also identify key trends driving the adoption of machine learning and predictive analytics.
Podcast topics of discussion include:
by Nicole Nearhood
January 10, 2017securitySecurity
Today, a number of cyber attacks are carried out by malicious insiders or inadvertent actors. Whether a large government agency or commercial company, protecting your data is critical to successful operations. A data breach can cost significant amounts of lost revenue, a tarnished brand, as well as lost customer loyalty. For government agencies, the consequences can be more severe.
MemSQL has a comprehensive security focus, including the ability to protect sensitive data against the “Insider...
by Mike Mohler
December 23, 2016in-memory,real-timereal-time,In-Memory,In Memory Database,In Memory Database,Real-time Analytics
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
December 21, 2016in-memory,real-timereal-time
In some industries, a hesitance remains in recognizing the commodification forces of real-time solutions. These industries often rely on orthodox tenets as barriers to marketplace entry, such as regulatory compliance, traditional value propositions, brand recognition, and market penetration. The term “ripe for disruption” often characterizes these industries and their respective leaders.
Arguably, an illustrative industry in the midst of responding to commodification, adapting to real-time...
by Seth Luersen
December 14, 2016IndustrySQL,SQL
The history of SQL, or Structured Query Language, dates back to 1970, when E.F. Codd, then of IBM Research, published a seminal paper titled, “A Relational Model of Data for Large Shared Data Banks.”
Since then, SQL has remained the lingua franca of data processing, helping build the relational database market into a $36 billion behemoth.
The Rise And Fall of NoSQL
Starting in 2010, many companies developing datastores tossed SQL out with the bathwater after seeing the challenges...
November 29, 2016cloudCloud
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...
by Rick Negrin