Author: Gary Orenstein

Using MemSQL within the AWS Ecosystem

The database market is large and filled with many solutions. In this post, we will take a look at what is happening within AWS, the overall data landscape, and how customers can benefit from using MemSQL within the AWS ecosystem. Understanding the AWS Juggernaut At AWS re:Invent in December 2017, AWS CEO Andy Jassy revealed that the business is at a revenue run rate of $18 billion, growing 42 percent per year. Those numbers are staggering and showcase the importance Amazon Web Services now plays...


SELECT 5 from MemSQL Blog in 2017

2017 was a good year for the database market as developers, architects, and business leaders explored what is possible with new platforms. We covered several hot topics on the MemSQL blog including the integration with microservices, recognition by industry analysts, machine learning and image recognition, real-time geospatial analytics, and multi-tenancy in a cloud world. Here are a few of our favorite posts from 2017. MemSQL Meets the Microservices Architecture Link to post Microservices...


MemSQL 6 Product Pillars and Machine Learning Approach

MemSQL 6 Pillars and Machine Learning Approach Want to try MemSQL 6? Click here to get started. Prefer the Release Notes? They are here. Today marks another milestone for MemSQL as we share the details of our latest release, MemSQL 6. This release encapsulates over one year of extensive development to continue making MemSQL the best database platform for real-time analytics with a focus on real-time data warehouse use cases. Additionally, MemSQL 6 brings a range of new machine learning...


Migrating from Traditional Databases to the Cloud

The Current Organizational Data Dilemma Today, many companies have years of investment in traditional databases from Oracle, SAP, IBM, Microsoft and others. Frequently these databases and data warehouses have long outlived their ability to cost-effectively perform and scale. These solutions also offer mixed options when it comes to cloud deployments. Over the past decade, data-driven organizations looked to new methods such as Hadoop and NoSQL to solve data challenges. Hadoop has proven to be a...


Modern Data Warehousing, Meet AI

We are enchanted by the possibility of digital disruption. New computing approaches, from cloud to artificial intelligence and machine learning, promise new business models and untold efficiencies. We are closing the gap between science fiction and business operations. A Quick Look Back Let’s take a quick look back at data processing, and then come back to the industry frontier. It started with data and the place to put it, which became the database. Then came a desire to understand the data...


hybrid cloud

The Real-Time Data Warehouse for Hybrid Cloud

As companies move to the cloud, the ability to span on-premises and cloud deployments remains a critical enterprise enabler. In this post, we’ll review the basics of a hybrid cloud model for MemSQL deployments to fit conventional and future needs. MemSQL Background MemSQL is a real-time data warehouse optimized for hybrid cloud deployments, and excels at operational use cases. MemSQL users are drawn to the ability to load and persist live data at petabyte scale while simultaneously querying...


AI's Secret Weapon: The Data Corpus

As industries latch on to the rise of machine learning and artificial intelligence, we see firsthand that the key to success is often the data itself. While discussions on the latest algorithms and learning models capture mainstream attention, the real determining factor of a company’s success is its ability to leverage a corpus of data. Recently our CEO Eric Frenkiel delivered a talk on this topic, Machines and the Magic of Fast Learning. The premise was simple, and inspired by a discussion...


The Analytics Race Amongst The World's Largest Companies

The Analytics Race Amongst The World’s Most Valuable Companies Data is fueling the world’s most valuable companies. Today the list is topped by Apple, Google, Microsoft, Amazon, and Facebook. These top companies harness data to drive outsized value. While the companies are unique, they share a more common approach to analytics than you might expect. The Rapid Rise of Data Capture for Analytics In a short span, entire industries have been born that didn’t exist previously. Each of these...


real-time nano marketing

Real-Time and The Rise of Nano-Marketing

The tracking and targeting of our online lives is no secret. Once we browse to a pair of shoes on a website, we are reminded about them in a retargeting campaign. Lesser known efforts happen behind the scenes to accumulate data and scan through it in realtime, delivering the perfect personalized campaign. Specificity and speed are converging to deliver nano-marketing. If you are a business leader, you’ll want to stay versed in these latest approaches. If not, as a consumer, you’ll likely...


big data changing

From Big to Now: The Changing Face of Data

Data is changing. You knew that. But the dialog over the past 10 years around big data and Hadoop is rapidly moving to data and real-time. We have tackled how to capture big data at scale. We can thank the Hadoop Distributed File System for that, as well as cloud object stores like AWS S3. But we have not yet tackled the instant results part of big data. For that we need more. But first, some history. Turning Point for the Traditional Data Warehouse Internet scale workloads that emerged in the...