SAN FRANCISCO, Feb. 8, 2017 /PRNewswire/ -- Splice Machine, provider of the open source relational database for hybrid workloads, today announced that its industry-leading data platform will be available on AWS as a database-as-a-service (DBaaS) in the spring of 2017. 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.
The Company is currently accepting early adopters to evaluate its Cloud RDBMS and is offering incentives for companies to sign up. Ideal customers meet the following criteria:
- 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
"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 get:
- Complete SQL database – Full ANSI-SQL, ACID compliant transactions, secondary indexes, referential integrity, triggers, stored procedures and more – capabilities that millions of applications depend on
- 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 the time-consuming database administration tasks so you don't have to do so
- Elasticity – Traditional scale-up databases discourage you from growing your datasets, charging outrageous 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
"While there are other DBaaS offerings already out there that are just the legacy databases remotely hosted, or a No/NewSQL variant built for specialized analytics, caching or object use cases, we see Splice Machine as now getting ahead of potentially the largest market opportunity - every large enterprise database-driven application," said Mike Matchett, senior analyst, Taneja Group. "This new service presents a way to migrate almost any existing traditional or legacy database application to the cloud to gain scalability and cloud economics, and immediately enable big data, IoT, and machine learning initiatives. That's at least three "wins" in one move (i.e. cloud transformation, big data analytics and application refresh)."
About Splice Machine
Splice Machine is disrupting the $30 billion traditional database world with a cloud service that delivers a powerful and easy-to-manage SQL RDBMS for mixed operational and analytical workloads. Splice Machine makes it easy to create modern, real-time, scalable applications, or to offload operational and analytical workloads from expensive Oracle, Teradata, and Netezza systems.
Splice Machine is a trademark of Splice Machine, Inc. All other trademarks are the property of their respective registered owners. Trademark use is for identification only and does not imply sponsorship, affiliation, or endorsement.
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SOURCE Splice Machine