Equally significant, advancements in query processing are streamlining the evaluation and execution of database queries on vast datasets.

Tables within a database management system (DBMS) need primary keys and defined indexes in order for the DBMS to have the opportunity to provide good query performance. Without indexing, the worst ...

DuckDB is an open-source OLAP database for analytical data management that operates as an in-process database, avoiding data transfer overhead. Leveraging vectorized query processing and Morsel ...

At the crux of many an enterprise-scale big data system stands either MapReduce or a parallel database management system. But which is more efficient? Researchers from Dublin Institute of Technology, ...

Understand the two dimensions of scaling for database query and ingest workloads, and how sharding can make scaling elastic—or not.

But with pull queries, Confluent is simplifying the development of event streaming applications by integrating traditional database-like lookups on top of materialized tables built for stored data.

A further boost in performance can come when you also use an in-memory relational database management system. The fastest in-memory database can revolutionize data processing and analytics.

Queries can be initiated from a Teradata Database to access, filter and return subsets of data from Hadoop, Aster and other database environments to the Teradata Database for additional processing.

AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs ...