Splice Machine, the database that brought transaction processing (and later analytics) to Hadoop clusters, has added a new native Spark path that will connect with data scientists conducting advanced modeling and AI jobs.
- Spark native support targets the data scientist
Features and Benefits
- Analyzes how Splice Machine's Spark support differentiates from other analytic databases
- Analyzes how Splice Machine's new capability to expose containers to the customer will increase their ability to run diverse workloads
Key questions answered
- How does Splice Machine's Spark support differ from other analytic databases?
- How does the new capability to expose Splice Machine as a container make the database more versatile as a cloud service?
- What must Splice Machine do to become a credible multicloud analytic database alternative to Amazon Redshift?
Table of contents
Spark native support targets the data scientist
Container support extends Splice Machine’s managed cloud service
The key to Splice Machine’s appeal will be multicloud support