Industry

In-Memory Computing Adoption

Four Reasons Behind the Popularity and Adoption of In-Memory Computing

There is no question that data is infiltrating our world. Recently 451 Research predicted that the Total Data Market is expected to double in size from $60 billion in 2014 to $115 billion in 2019. IDC suggested that Internet of Things (IoT) spending will reach $1.7 trillion in 2020. and noted, “the real opportunity remains in the enterprise…” And as stated in a recent Gartner blog post, while the three leading independent Hadoop distribution players measure their revenue in 10s of...


MemSQL on Mesosphere DCOS

Deploy MemSQL with Mesosphere

MemSQL is now certified for deployment on the Mesosphere DCOS (Datacenter Operating System). With a few simple commands, users can launch a MemSQL cluster on DCOS. The Mesosphere DCOS (Datacenter Operating System) is a commercially supported product built on top of Apache Mesos that serves as a datacenter abstraction layer. DCOS deploys distributed applications with a few simple command-line interface (CLI) steps, and handles application provisioning, resource management, and fault tolerance...


Real-Time Database

What We Talk About When We Talk About Real-Time

The phrase “real-time,” like love, means different things to different people. At its most basic, the term implies near simultaneity. However, the amount of time that constitutes the “real-time window” differs across industries, professions, and even organizations. Definitions vary and the term is so often (ab)used by marketers and analysts, that some dismiss “real-time” as a meaningless buzzword. However, there is an important distinction between “real-time” and “what we have...


MemSQL 4: Market and Strategy CEO Q&A

MemSQL 4 represents a leap forward in relational database innovation with new capabilities such as real-time geospatial intelligence and high-throughput connectivity to Apache Spark. It also includes a free forever, unlimited capacity Community Edition, enhancements to the Optimizer for distributed joins, and a new version of the MemSQL Ops management framework. Start Using MemSQL Community Edition Now Unlimited scale and capacity. Free forever. Download Community Edition → As Big Data...


SQL Structure

In The End We Seek Structure

In Short: A range of assumptions led to a boom in NoSQL solutions, but in the end, SQL and relational models find their way back as a critical part of data management. In the End We Seek Structure. Why SQL and relational models are back as a critical part of data management – Click to Tweet Background By the mid 2000s, 10 years into the Netscape-inspired mainstream Internet, webscale workloads were pushing the limits of conventional databases. Traditional solutions could not keep up with...


In-Memory and Apache Spark

Video: The State of In-Memory and Apache Spark

Strata+Hadoop World was full of activity for MemSQL. Our keynote explained why real-time is the next phase for big data. We showcased a live application with Pinterest where they combine Spark and MemSQL to ingest and analyze real-time data. And we gave away dozens of prizes to Strata+Hadoop attendees who proved their latency crushing skills in our Query Kong game. During the event, Mike Hendrickson of O’Reilly Media sat down with MemSQL CEO Eric Frenkiel to discuss: The state of in-memory...


Data Stores for the Internet of Things

Like the world wide web, the Internet of Things is personal. It represents a near complete connectedness, including the industrial world, and never ending possibilities of new applications and services. The Internet of Things also represents a need to examine conventional assumptions on databases and data stores to support real-time data pipelines. In an article on Silicon Angle, Designing data stores for the Internet of Things, MemSQL CEO and co-founder Erik Frenkiel shares his insight on the...


batch gap

Closing the Batch Gap

Sometimes we become so accustomed to certain things, we stop asking questions and accept the status quo. That can last a long time. Such is the case with batch processing in the enterprise. And it was made abundantly clear in a survey titled “Enterprise Big Data, Business Intelligence, and Analytics Trends” by the Enterprise Strategy Group, that there remains an ongoing complacency with the time it takes to complete batch processing. This is in stark contrast to the recognition that...


DBMS Disadvantages

Four Ways Your DBMS is Holding You Back - And One Simple Fix

Our data is changing faster than our data centers, making it harder and harder to keep up with the influx of incoming information, let alone make use of it. IT teams still tolerate overnight batch processing. The cost of scaling legacy solutions remains cost prohibitive. And many promised solutions force a complete departure from the past. If this sounds familiar, you are not alone. Far too many innovative companies struggle to build applications for the future on infrastructure of the past....


The Rise of the Cloud Memory Price Drop

The Rise of the Cloud Memory Price Drop

Last week, Data Center Knowledge published a piece on Microsoft’s ‘Monster’ Azure instances, with RAM capacities approaching half a terabyte at 448 GB. Microsoft Azure has launched its most powerful cloud instances to date. The new G-series instances go up to 32 cores, 448 GiB of RAM, and 6,596 GB of local SSD storage. Microsoft Azure Launches Monster Cloud Instances, Data Center Knowledge, 8 January 2015 The article continues to detail The highest-memory instance available on Google...