A challenge with data queries today is they typically are ... approach allows it to run queries faster than traditional CPU-based distributed engines like Apache Spark at scale.

The columnar storage/MPP query combination ... deployed in online transaction processing (OLTP) server, distributed and clustered configurations. Developers and database administrators (DBAs ...

With distributed SQL, a relational database can be replicated across ... allows independent scaling of each system component — query processor, transaction system and storage system.

Facebook yesterday open sourced Presto, its distributed SQL query engine built to improve Big Data analytics beyond existing solutions ... Presto has provided up to 10x improvement in CPU efficiency ...

1 By enabling CockroachDB to run natively on the s390x architecture, Cockroach Labs brings a fully featured, PostgreSQL-compatible distributed database ... on IBM s390x processor architecture ...

The distributed relational database uses SQL to query massive amounts of data while also supporting both transaction processing and analytics on the same engine. MemSQL says that eliminates the ...

In a distributed database, the data systems are held in different physical locations but can be accessed by all computers on a system. Processing is also shared among the many nodes—a ...

Seattle startup Expanso raised a $7.5 million seed round co-led by General Catalyst and Hetz Ventures to fuel growth of its software that provides data infrastructure capabilities at the “edge.” ...