Industry

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...


Market Guide for In-Memory DBMS

From the inception of MemSQL, we’ve seen the ability to merge transactions and analytics into a single database system as a core function for any data centric organization. Gartner’s recent report, “Market Guide for In-Memory DBMS” mirrors that belief, and is chock full of key findings and recommendations for businesses looking to take advantage of in-memory computing. Skip this article and download a complimentary copy of Gartner’s Market Guide for In-Memory DBMS In the report,...


Predictions for Apache Spark, IoT, and In-Memory Computing - Video Interview with Mike Hendrickson of O’Reilly Media

While at Strata+Hadoop World, MemSQL CEO, Eric Frenkiel, sat down with Mike Hendrickson of O’Reilly Media for a conversation about the evolution of the database ecosystem, and how Hadoop and in-memory computing fit into the picture. Watch this 8 minute interview to learn more about: Developments throughout the in-memory data technology market, and where it will be 12 months from now. How Apache Spark fits into the Hadoop Ecosystem and why it will replace MapReduce. The importance of...


MemSQL Does Oracle’s Own Demo Ten Times As Fast, Sixty Times Cheaper

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....