NoSQL


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Related to NoSQL: Hadoop
AcronymDefinition
NoSQLNot Only Structured Query Language (computer programming)
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Optimized performance for encryption with Vormetric Transparent Encryption (VTE) when working in NoSQL environments.
The conference provides the perfect platform for specialist knowledge and skill sharing and we look forward to sharing our extensive experience in Oracle Cloud and Oracle NoSQL Database with attendees, so they can receive the most from their Oracle investments," James added.
Centrify Server Suite enables businesses to leverage their existing Active Directory infrastructure to address authentication, authorization and auditing of access to Hadoop and NoSQL clusters, while Centrify Privilege Service delivers shared account password management and secure remote access for the underlying servers running both Hadoop and NoSQL.
Operational Database Management Systems Magic Quadrant and is also the most trusted Enterprise NoSQL solution that for over 13 years has grown a customer roster of more than 550 global enterprises and government agencies that have deployed the platform in production.
Among all types of NoSQL databases, the key-value stores, should remain the most preferred type of NoSQL, due to their usage in web applications for blogs, session management and e-commerce.
DgSecure for NoSQL is the first solution of its kind to discover all sensitive data residing in or being written to NoSQL to support enterprises seeking protection of data in these environments against a breach.
The new case study explores the technology factors and ad industry demands that led Federated Media Publishing to choose the Aerospike real-time NoSQL database and key-value store.
Over the past two years, several vendors have begun offering NoSQL and Hadoop alternatives that are optimised to handle large volumes of unstructured data.
5, 2015 /PRNewswire/ --AWS re:Invent 2015 -- Basho Technologies, the creator and developer of Riak software, today announced Basho Riak TS, a distributed NoSQL database architected to aggregate and analyze massive amounts of sequenced, unstructured data generated from the Internet of Things (IoT) and other time series data sources.
Using Cache, data is simultaneously available using NoSQL, SQL and object paradigms.
They allow customers to securely reach across Hadoop, NoSQL and relational databases to easily and cost-effectively analyze massive and diverse data sets.