Splice Machine Courts Early Adopters to Test New Cloud RDBMS Service

Splice Machine Inc. today announced an early adopter program to test its upcoming Database-as-a-Service (DBaaS) offering on the Amazon Web Services Inc. (AWS) cloud.

It's not the company's first foray into the AWS cloud space, as last summer it announced an AWS sandbox to try out its newly open sourced, SQL-based RDBMS for Big Data analytics.

The company in November came out with version 2.5 of its platform, touting hybrid capabilities that process online transaction processing (OLTP) and online analytical processing (OLAP) workloads at the same time, using components such as Apache Hadoop and Apache Spark.

Now it's offering incentives for early adopters to evaluate the AWS offering, coming this spring. The criteria for participating are listed as:

  • The need to power an application with an RDBMS.
  • The need to perform extensive analytics.
  • A desire to not have to move data back and forth between data engines.
  • Have 5TB to 2PB of data.
  • Able to start a trial in Q1 2017.

The company hopes its AWS service will obviate the need to use separate AWS components for Big Data analytics.

"Soon you will be able to go to and provision a clustered, scale-out, hybrid OLTP/OLAP database in minutes, and we will operate it for you," co-founder and CEO Monte Zweben said in a blog post.

"Instead of provisioning both a cloud RDBMS (like AWS RDS) to run your apps and a cloud data warehouse (like AWS Redshift) to run analytics, now you can provision one hybrid RDBMS. This avoids paying for two engines, duplicate storage, and tons of I/O costs to transfer data, as well as removing all the ETL and operations headaches."

Benefits of the upcoming cloud RDBMS offered through AWS, as listed by the company, include:

  • Complete SQL database: Full ANSI-SQL, ACID compliant transactions, secondary indexes, referential integrity, triggers, stored procedures and more.
  • Transactional AND analytical workloads: Because Splice Machine is a hybrid transactional/analytical processing (HTAP) system, there is no need to stitch together RDBMS's and data warehouses with fragile ETL processes.
  • Zero management: Splice Machine manages time-consuming database administration tasks.
  • Elasticity: Traditional scale-up databases discourage users from growing their datasets, charging fees for incremental capacity. Splice Machine allows users to add or remove capacity when needed.
  • Concurrency: Scale-out architecture means that an unlimited amount of concurrent users and applications can access the database without eroding performance and preserving ACID properties.
  • Availability: Splice Machine's incremental backup and recovery backs up to Amazon S3 for true disaster recovery and its scale-out architecture uses replication to ensure availability of service.

"We are now looking for a few very special early adopters of this service," Zweben said. "Back in 1999, Marc Benioff asked me if Blue Martini Software would be the first customer of He promised to delight us with white glove service and offered a great financial proposition. They rocked it and to this day I've been a loyal customer. Now I'm looking for our early partners who will also receive great financial incentives and unbelievable white-glove service."

Interested early adopters can apply to join the program here.

About the Author

David Ramel is an editor and writer for Converge360.


Subscribe on YouTube