Splice Machine Is Now on Microsoft Azure
With 90% of companies planning to be on the public cloud by 2020, according to Accenture, it’s clear that the future of business is in the cloud. But the cloud is not a monolith. There are many good options for moving your applications to the cloud. However, it’s far too easy for companies to end up locked into a single cloud platform because of their choice of database, data warehouse or machine learning platform. This can hamper their ability to migrate, scale or add intelligence to their application in the future.
That’s why we’re excited to add Microsoft Azure as another option for companies looking to use Splice Machine in the cloud. By adding Azure to our existing AWS and on-premise options, we are the first option for hybrid transactional and analytical processing (HTAP) capabilities for those already on Azure or for those looking to make the move to the cloud. Splice Machine users can maintain cloud independence while developing and deploying smarter, predictive applications designed to integrate fast data streaming, transactional workloads, analytics and machine learning.
By unifying all of these components, Splice Machine delivers a simpler architecture for intelligent applications, requiring fewer infrastructure engineers to duct tape compute engines together and requires much less data movement so that analysis and machine learning is run on up-to-date data.
Now, on-premise RDBMS-powered applications can be moved to Splice Machine on Azure so that they can affordably scale out while also realizing single record lookups and updates in a few milliseconds at petabyte scale. Additionally, Splice Machine’s OLAP capabilities enable extreme analytical concurrency, even at billions of records, with standard connectivity to BI tools.
To get a first-hand look at Splice Machine on Microsoft Azure, sign up to talk to one of our solution engineers here.