Couchbase Brings NoETL to NoSQL with New Analytics Service in Latest Release of Couchbase Data Platform
September 19, 2018
Industry-first capabilities help the massively interactive enterprise reap actionable insights through a modern hybrid operational and analytical database architecture
SAN JOSE, Calif. -- Couchbase Connect SV, September 19, 2018 -- Couchbase, Inc., creator of the world’s first Engagement Database, today announced the latest version of the Couchbase Data Platform with Couchbase Server 6.0. The latest release delivers new Analytics Services that enable organizations to derive real-time insights from operational data with quick setup in five clicks. With new features including an industry-first capability to circumvent the ETL transformation process, the first commercial implementation of the SQL++ language in N1QL for Analytics, and Autonomous Operator for Analytics, enterprises can get faster access to data and insights from operational data with minimal effort.
The Couchbase Data Platform supports hybrid transactional and analytical processing (HTAP) database requirements that allow business users to run ad-hoc analytical queries leveraging a massively parallel processing (MPP) architecture, without impacting operational application performance. Couchbase Server 6.0 provides immediate availability of operational data for analytical processing by enabling enterprises to run analytical queries on JSON data without the delay or complexity of schema re-design and data transformation that occur with relational databases.
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From providing real-time game statistics at sporting events to making historical data comparisons against real-time data on the spot, Couchbase Server 6.0 has already seen its way into various enterprise use-cases where insights are being derived from operational data to make immediate business decisions that improve customer and employee experiences.
Some of the new features and associated benefits in Couchbase Server 6.0 include:
NoETL for NoSQL: Process JSON data in its natural state without the need for any transformation or schema design
Fast ingest: Availability of data for analytical processing in milliseconds
Ad-hoc querying: Allows business users to explore data and perform complex joins and aggregations
Workload isolation: Run ad-hoc queries without impacting application performance
SQL for JSON: SQL-inspired language for working with nested, schema less world of modern NoSQL systems
N1QL for Analytics: First commercial implementation of the SQL++ language for querying schemaless semi-structured JSON data
Autonomous Operator for Analytics
Auto provisioning, auto scaling, auto recovery of analytics nodes with Couchase Autonomous Operator
Analytics Technology Partners
BI visualization tool: Knowi
ODBC/JDBC connector: CDATA
Integration with: Spark
“With Couchbase, we can review all sorts of data analytics in milliseconds to offer fans options to help them enjoy the game more, including the ‘nasty factor’ of pitches, which we push to fans instantaneously. The functionality we’ve built with Couchbase allows us to do things at speed, in real-time with analytics in the background at the same time that older technologies could never do. Our future is bright for engaging with fans in ways we haven’t in the past.”
--Steven Wyant, Data Architect, Cincinnati Reds
“Enterprises continue to possess an insatiable appetite for analytics and that includes carrying out analytics on operational data, often referred to as hybrid workloads. Couchbase’s new Analytics Service is an example of such a system targeting hybrid workloads, giving enterprises the opportunity to react quickly to incoming operational data.”
--James Curtis, Senior Analyst, Data Platforms and Analytics, 451 Research
“For years, Couchbase has been helping enterprises run operations of massive scale by providing database infrastructure all the way from the edge to the cloud. Today, with the new Analytics Service in Couchbase Server 6.0, enterprises can get operational and analytical capabilities within one database platform under one programming model, N1QL, an extension of SQL. Now enterprises can find insights on what to change in their operations and what to change to--in real time. The unique way in which this is done eliminates the complex and time-consuming ETL process, which substantially reduces both the ‘path to insight’ as well as ‘total time to insight.’”
--Ravi Mayuram, CTO and Senior Vice President of Engineering, Couchbase
Couchbase Server 6.0 will be generally available in the 4th calendar quarter of 2018.
Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases.
Couchbase has become pervasive in our everyday lives; our customers include industry leaders Amadeus, American Express, Carrefour, Cisco, Comcast/Sky, Disney, eBay, LinkedIn, Marriott, Tesco, Tommy Hilfiger, United, Verizon, as well as hundreds of other household names. For more information, visit www.couchbase.com.
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