For instance, in the above example, parallel databases with simple federation capabilities would still use the execution strategy A. This means 695 million rows would need to be transferred through ...

By realigning data access patterns and utilising idle SIMD lanes, these algorithms have achieved performance boosts in critical operations such as table scans, hash joins, and geospatial queries [3].

Even Teradata, long the gold-standard for on-prem massively parallel processing (MPP) databases, in August officially embraced the “data lake” style of OLAP computing atop an S3-compatible object ...

Learn More. Just about every enterprise in the world makes use of a database, whether it’s a parallel, distributed, flat file, document-oriented, operational, embedded or graph database.

The difference is in its parallel-computing capabilities and SQL-like functionality. Do a query across petabytes of data over thousands of servers and the results come back in real-time.

Discover how Sarvesh Kumar Gupta's innovative distributed database pipeline transformed financial data processing, maximising ...

The three features of adaptive query processing can make SQL Server 2017 significantly faster at processing your workload. Not only that, but they also provide significant improvements without needing ...

Database vendor Sybase is upgrading its column-oriented database, Sybase IQ, to run on a massively parallel processing (MPP) architecture. The company announced the beta of the new Sybase IQ ...

As the company name suggests, Swarm64 leverages parallel processing to accelerate and scale PostgreSQL performance, spinning up 64 parallel threads to execute queries. The 4.0 version released last ...