The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

Aster Data, a provider of data warehousing solutions for 'big data' applications, yesterday announced Aster Data Version 4.0, which the company describes as the industry's first 'Massively Parallel ...

The 1990s and 2000s saw the rise of the relational databases for transaction processing (OLTP) as well as analytical processing (OLAP). As the volume and variety of data explodes in the 2010s, ...

The gap is larger for any queries that are more I/O bound as data moves from the CPUs to the GPUs. (TPC-H queries 6 and 8 are good examples.) The average speedup across a wider variety of data ...

Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

Founded in 2003, DATAllegro markets an MPP (massively parallel processing) data warehouse appliance based on the Ingres database.

For example, Swarm64 is aiming its database acceleration software at open source PostgreSQL deployments that, despite their popularity, fall short when it comes to analytics and data warehousing. The ...

The Sun appliance works along similar parallel principles to Wal-Mart's central data warehouse based on a massively parallel system from Teradata, a unit of NCR Corp. The Wal-Mart system allows ...