Oracle lives by its flagship database

Oracle lives by its flagship database    Analytical DBMSs: Oracle Database, Oracle MySQL, Oracle Essbase.  In-memory DBMS: Oracle TimesTen, Oracle Database 12c In-Memory Option (announced in 2013 without details, roadmaps, or release dates).  Stream-analysis option: Oracle Event Processing.  Hadoop distribution: Resells and supports Cloudera Enterprise.   Hardware/software systems: Exadata, Exalytics, Oracle Big Data Appliance. Oracle rivals IBM in the depth and breadth of its data-management offerings. It offers multiple databases, including market leaders Oracle Database and MySQL, and multiple options for data integration, data-quality management, master-data management, business intelligence, and analytics. Like IBM, it also has its own hardware unit (Oracle Sun) that supplies the servers used in its various 'engineered systems.'  In 2013, Oracle moved toward managing all of its data and big-data technologies with Oracle Enterprise Manager. That includes the Oracle Big Data Appliance, which packages Cloudera's Hadoop distribution and the Oracle NoSQL database. The company has also brought together multiple low-latency technologies as part of its 'Oracle Fast Data' family. The components include Oracle Event Processing, Oracle Coherence, Oracle NoSQL, GoldenGate and Data Integrator (data integration), Oracle Business Analytics, and Oracle Real-Time Decisions. This collection spans low-latency demands from filtering and correlation to data movement and transformation to analysis and real-time decision support. One area where Oracle has yet to deliver is in-memory performance tied to its flagship Oracle Database. The company announced an Oracle Database 12c In-Memory Option at Oracle Open World in 2013, but there's no beta or firm release data at this writing. Oracle's TimesTen in-memory database, originally developed by HP Labs in 1996, is for niche in-memory applications and does not match the broad applicability of SAP Hana or the soon-to-be-released SQL Server 2014 OLTP In-Memory option. Oracle has Hadoop in its portfolio by way of its Cloudera partnership, but Oracle database executives have publicly dismissed Hadoop as 'primitive and batch oriented,' touting SQL extensions to Oracle Database for handling variable data such as stock trade data, clickstreams, or sensor data typically handled on Hadoop. Although Cloudera, Hortonworks, IBM, Pivotal, MapR, and others are working on ways to do SQL analysis, in-memory analysis, and even streaming analysis on top of Hadoop, Oracle sees this platform as a source from which to draw data sets for analysis within Oracle Database. In short, Oracle Database, as always, is at the center of this company's attention.
Oracle lives by its flagship database

Analytical DBMSs: Oracle Database, Oracle MySQL, Oracle Essbase.
In-memory DBMS: Oracle TimesTen, Oracle Database 12c In-Memory Option (announced in 2013 without details, roadmaps, or release dates).
Stream-analysis option: Oracle Event Processing.
Hadoop distribution: Resells and supports Cloudera Enterprise.
Hardware/software systems: Exadata, Exalytics, Oracle Big Data Appliance.
Oracle rivals IBM in the depth and breadth of its data-management offerings. It offers multiple databases, including market leaders Oracle Database and MySQL, and multiple options for data integration, data-quality management, master-data management, business intelligence, and analytics. Like IBM, it also has its own hardware unit (Oracle Sun) that supplies the servers used in its various "engineered systems."
In 2013, Oracle moved toward managing all of its data and big-data technologies with Oracle Enterprise Manager. That includes the Oracle Big Data Appliance, which packages Cloudera's Hadoop distribution and the Oracle NoSQL database. The company has also brought together multiple low-latency technologies as part of its "Oracle Fast Data" family. The components include Oracle Event Processing, Oracle Coherence, Oracle NoSQL, GoldenGate and Data Integrator (data integration), Oracle Business Analytics, and Oracle Real-Time Decisions. This collection spans low-latency demands from filtering and correlation to data movement and transformation to analysis and real-time decision support.
One area where Oracle has yet to deliver is in-memory performance tied to its flagship Oracle Database. The company announced an Oracle Database 12c In-Memory Option at Oracle Open World in 2013, but there's no beta or firm release data at this writing. Oracle's TimesTen in-memory database, originally developed by HP Labs in 1996, is for niche in-memory applications and does not match the broad applicability of SAP Hana or the soon-to-be-released SQL Server 2014 OLTP In-Memory option.
Oracle has Hadoop in its portfolio by way of its Cloudera partnership, but Oracle database executives have publicly dismissed Hadoop as "primitive and batch oriented," touting SQL extensions to Oracle Database for handling variable data such as stock trade data, clickstreams, or sensor data typically handled on Hadoop. Although Cloudera, Hortonworks, IBM, Pivotal, MapR, and others are working on ways to do SQL analysis, in-memory analysis, and even streaming analysis on top of Hadoop, Oracle sees this platform as a source from which to draw data sets for analysis within Oracle Database. In short, Oracle Database, as always, is at the center of this company's attention

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