The Exadata Cloud@Customer X9M offers similar OLTP, analytics and cost improvements. That includes scan rates up to 80% faster, 87% higher IOPS, and SQL read latency of less than 19 microseconds.

Knowing exactly what in-memory OLTP tables are used for will help you make the most of one of SQL Server's newest features.

How Are Oltp And Olap Different Give Examples Of Their Use? An OLTP system is used for transaction processing, while an OLAP system is used for analytical processing. ATMs are examples of ...

Oracle's new Exadata X10M platform, redesigned using the 4th generation AMD EPYC processor delivers unprecedented performance for Oracle Database.

The History Of OLTP Relational Databases Organizations have long utilized relational database management systems (RDBMS) optimized for OLTP to manage their data.

Think Hadoop is just for analytics? Think again, says Hadoop creator Doug Cutting, who last week predicted that, in the future, organizations will run all sorts of workloads on their Hadoop clusters, ...

OLTP systems provide means to highly efficient execution of a large number of small transactions and reliable access to data stored in the result of the transactions.

Aerospike Inc., which sells a commercial version of its namesake open-source, scalable, real-time NoSQL database management system, today unveiled a new version that it said is the first real-time ...

Today, more than 300 companies are relying on TiDB in production to meet their OLTP/OLAP, database scalability, real-time analytics, and unified storage needs.

Amazon’s graph database service offers ACID properties, immediate consistency, and auto-scaling storage for billions of relationships ...