NewSQL databases rise anew -- MemSQL, Spanner among contenders

The #NewSQL #database was almost hidden when @Hadoop and @NoSQL arose. Now, as more big data teams move toward production uses, #MemSQL, #CloudSpanner and similar products may get a second look.

It was something of a sleeper amid a rowdy group of new data management technologies, but #NewSQL is new again. NewSQL #databases put special emphasis on SQL transactions, with atomicity, consistency and other processing attributes. At the same time, they distribute data workloads in a new style pioneered by @Google, @Yahoo and others. As attention was poured on Hadoop and NoSQL in the early years of this decade, NewSQL database alternatives plugged away quietly. Fast forward to today, and the raucous NoSQL and Hadoop crew has taken on more and more SQL traits. For this and other reasons, NewSQL may be getting a second look in some quarters. As with the more ballyhooed Hadoop and NoSQL alternatives, global data distribution, real-time analytics and machine learning are the key drivers. Among the NewSQL players -- each with a different technology twist -- are @Clustrix Inc., @NuoDB Inc., @SpliceMachine and @VoltDB Inc. Each has been busy enhancing its NewSQL database. Clustrix recently increased its support for cluster resiliency. NuoDB improved its query optimizer. VoltDB expanded a program offering access to its enterprise version for development and testing. And @SpliceMachine launched its database platform on the @AmazonWebServices Marketplace.

http://searchdatamanagement.techtarget.com/feature/NewSQL-databases-rise-anew-MemSQL-Spanner-among-contenders

Splice Machine boosts hybrid relational data platform

Building on its capability to concurrently run enterprise-scale transactional and analytical workloads, #SpliceMachine today announced the release of version 2.5 of its platform at #AWS re:Invent 2016. The startup's platform is a dual-engine relational database management system (RDBMS) powered by #Apache #Hadoop and Apache #Spark that specializes in hybrid transactional and analytical processing (HTAP). Splice Machine uses resource isolation — separate processes and resource management for its Hadoop and Spark components — to ensure that large, complex online analytical processing (OLAP) queries don't overwhelm time-sensitive online transaction processing (OLTP) queries.

http://www.cio.com/article/3145628/hadoop/splice-machine-boosts-hybrid-relational-data-platform.html

Splice Machine Announces Native PL/SQL Support to Accelerate Migrations from Oracle to Hadoop

#SpliceMachines provider of the open-source SQL RDBMS powered by #Hadoop and #Spark, announced that it now supports native PL/SQL on Splice Machine. PL/SQL support dramatically reduces the time and cost for companies to offload their big data workloads from Oracle databases. It is available immediately through the Splice Machine Enterprise Edition. Companies are dealing with an exponential growth of data, and a constant demand for new applications that deliver deeper, real-time insights. Dealing with these challenges using Oracle’s scale-up technologies can be cost-prohibitive, but companies have been slow to migrate away from Oracle because their mission-critical applications depend on transactional SQL and custom application logic captured in PL/SQL. Splice Machine RDBMS can now address these issues.

http://insidebigdata.com/2016/11/03/splice-machine-announces-native-plsql-support-to-accelerate-migrations-from-oracle-to-hadoop/

Splice Machine Selected to Become National Technical Information Service (NTIS) Joint Venture Partner

#SpliceMachine, provider of the open-source SQL RDBMS powered by #Hadoop and #Spark, has been announced as one of 35 organizations to be selected through a merit-based process as eligible to be joint venture partners (JVPs) by the U.S. Commerce Department’s National Technical Information Service ( #NTIS 11). By becoming an NTIS JVP, Splice Machine will be eligible to be chosen to work with the NTIS on data-driven projects that are requested and funded by federal agencies. “These joint ventures mark a major milestone for the data economy,” said U.S. Secretary of Commerce Penny Pritzker in a recent press release. “As America’s data agency, the Commerce Department is committed to making it easier for businesses, government, taxpayers and communities to access, analyze and use data to strengthen economic growth and create new jobs. I am confident the partnerships between NTIS and each selected organization will unlock new federal data that will leverage advances in data science, promote software development and accelerate innovation.” The NTIS joint ventures are defined as an “NTIS – Business Partnership” where both parties invest resources to deliver a product or service to Federal agencies. These business partnerships are focused on complex data projects that require fast execution and innovative technologies and are not amenable to typical contracts or available commercial solutions. The partnership’s mission is to collect and widely disseminate federal scientific, technical, engineering and business-related information as well as to aid in the focus on providing federal customers with online data and services. “The NTIS JVP program gives us a unique opportunity to power intelligent applications that tap into the wealth of federal data resources and drive innovation at a national level,” said Monte Zweben, co-founder and CEO, Splice Machine. “With the advancements being made every day in machine learning and artificial intelligence, this program and its participants can help propel government agencies forward, from audacious moon shots to seemingly mundane data sharing.” About Splice Machine Splice Machine is disrupting the $30 billion traditional database world with the open-source RDBMS powered by Apache™ Hadoop® and Apache Spark™, 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. The Splice Machine RDBMS simplifies the Lambda architecture, so businesses no longer have to manage the complexity of integrating multiple compute engines to ingest, serve, or analyze data. With Splice Machine’s “Lambda in a Box” architecture, developers and data scientists can store their data all in one place and just write SQL. Splice Machine is a trademark of Splice Machine, Inc. Apache Hadoop®, Hadoop, Apache HBase, HBase, and Apache Spark, and Spark™ are trademarks of the Apache Software Foundation (ASF). Oracle and PL/SQL are trademarks of Oracle Corporation. 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.

http://www.prweb.com/releases/2016/10/prweb13783662.htm

Splice Machine 2.0 combines HBase, Spark, NoSQL, relational...and goes open source

In the worlds of #BigData, #NoSQL and relational databases, #Splice Machine's name doesn't come up that often. But a closer look at the company's product, architectural approach and CEO put them on my radar a while back. And Version 2 of the product, which is being announced today, has made that radar dot much brighter. #Hadoop
Have RDBMS cake, eat NoSQL scaling, too
Before we look at version 2, let's cover the motivation behind v1. Specifically, Splice Machine looked long and hard at some pressing database conundrums:

The relational database model (along with SQL) works well -- best, in fact -- in many circumstances, but scaling it has always been hard.NoSQL databases are much easier to scale but the schema-less model and lack of "ACID" (Atomicity/Consistency/Isolation/Durability) guarantees can be disorienting.Hadoop scales well too, and its HDFS file system has become an important storage standard, but Hadoop's batch model can also cause dissonance for relational database professionals

The solution: create an ACID-compliant, SQL relational database on top ofApache HBase -- a NoSQL database that uses HDFS as its storage layer. Now you've got SQL, the relational model, ACID/transactional consistency, horizontal scaling and HDFS, all in one product

http://www.zdnet.com/article/splice-machine-2-0-combines-hbase-spark-nosql-relational-and-goes-open-source/

Splice Machine Opens Sources Its Hadoop and Spark Powered RDBMS

#SpliceMachine is open sourcing its relational database management system ( #RDBMS ), a dual-engine RDBMS powered by #Hadoop and #Spark.

The platform leverages in-memory technology from Spark and scale-out capabilities from Hadoop to power new applications and can offload existing Oracle and Teradata databases. The Splice Machine RDBMS facilitates simultaneous analytical and operational workloads to enhance Big Data analysis.

Splice Machine is seeking outside contributors in database architecture and distributed systems to guide and support the transition, develop best practices, and help shape the features that best suit the open source community. Participants will get early access to Splice Machine source code and to computational resources to run Splice Machine.

https://appdevelopermagazine.com/4065/2016/6/10/Splice-Machine-Opens-Sources-Its-Hadoop-and-Spark-Powered-RDBMS