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].

Time series databases is another one -- that can also be used in the cloud. This is a class of database solutions designed to handle storage and processing of time series data.

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 ...

Stream processing is designed to analyze and act on real-time streaming data, using “continuous queries” (i.e. SQL-type queries that operate over time and buffer windows).

Swarm64 DA is turnkey software that extends free, open source PostgreSQL with much faster query performance to help customers lower costs, scale more easily, and simplify database application ...

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.

But Big Data's not all about MapReduce. There’s another computational approach to distributed query processing, called Massively Parallel Processing, or MPP. MPP has a lot in common with MapReduce.