Splice Machine is releasing its data platform on AWS this spring. With Splice Machine, users can both power applications and perform analytics without the need for ETL and separate analytical databases, such as Amazon RedShift or Snowflake.
"Modern data-intensive applications typically ingest Big Data at high speeds and require transactional and analytical capabilities in the same package," said Monte Zweben, co-founder and CEO of Splice Machine. "To address this challenge, companies often build complex systems consisting of multiple compute and storage engines. Splice Machine already simplifies this process by providing a hybrid solution, where an optimizer chooses between compute engines. Now, we are taking the next logical step by removing the need to manage the database. Users only need to know SQL – Splice Machine does the rest."
With Splice Machine's Cloud RDBMS, companies will benefit from a complete SQL database, transactional AND analytical workloads, zero management, elasticity, concurrency, and availability.
For more information on the Splice Machine hybrid RDBMS, go to www.splicemachine.com. If interested in becoming an early adopter of the Splice Machine DBaaS, apply here. General availability will be in spring 2017.