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...
by Gary Orenstein
The data warehouse as we know it has changed.
Growth in data size and complexity, migration to the cloud, and the rise of real-time use cases are forces pushing enterprise organizations to expect more from their data warehouse.
Evidence of this trend can be found in the latest Gartner Magic Quadrant Report, which has dropped data warehouse from its title and graduated to Data Management Solutions for Analytics. This change has resulted in an expansion of types of vendors covered, while also...
by Kevin White
Last month, we announced that MemSQL received the highest score in the Gartner Critical Capabilities Report for the “Operational Data Warehouse Use Case”.
While the findings Gartner shared are gratifying, this deserves a bit of a deeper dive.
For starters, let’s examine how Gartner defines an Operational Data Warehouse: “This use case manages structured data that is loaded continuously in support of embedded analytics in applications, real-time data warehousing, and operational data...
by Monica Multer
Gartner has named MemSQL a Visionary in the Magic Quadrant for Data Warehouse and Management Solutions for Analytics!
This marks our debut in Gartner’s report for data warehouse solutions and our second showing on a Gartner Magic Quadrant report in the last six months.
The report compares top Data Warehouse solutions, as well as highlights key strengths that distinguish MemSQL from legacy vendors.
MemSQL Strengths include:
Focus on supporting transactional and analytical use cases with...