List of RDBMSs that support parallel operations

List the RDBMSs that are supporting parallel operations / Parallel processing enabled RDBMSs / List of RDBMSs that are providing parallelism

List of RDBMSs that support parallel operations

RDBMS	Developer	Description
Adaptive Server Enterprise (ASE)	Sybase	·        It is a relational model database server product. ·        Commonly known as Sybase DB. ·        Available for Unix and Windows. ·        Since version 11.5, ASE has supported intra-query parallelism.
Clustrix	Clustrix, Inc.	·        They are the developer of NewSQL database. ·        Clustrix offers a scale-out SQL database that lets you simply add more nodes to your cluster as demand grows. ·        ClustrixDB employs massively parallel processing (MPP) across its distributed cluster to parallelize and distribute SQL queries, and uses all available resources of the cluster to accelerate the queries.
DB2	IBM	·        IBM employed MPP to parallelize queries. ·        Shared Nothing Architecture is used. ·        DB2 can use two different methods for achieving query parallelism: I/O or CPU.
EXASolution	EXASOL	·        EXASolution is an in-memory, column-oriented RDBMS. ·        It is a parallelized RDBMS runs on cluster of standard hardware servers. ·        Shared nothing architecture is used. ·        Massively Parallel Processing (MPP) ·        Highly scalable.
HSQLDB	Available under BSD license.	·        Written in Java ·        Fully mutithreaded
Informix Dynamic Server	IBM	·        Uses Parallel Database Query (PDQ) feature to run queries in parallel. ·        PDQ along with table fragmentation feature works well. ·        Uses combination of shared memory and shared nothing architecture
Microsoft SQL Server	Microsoft	·        By default, SQL Server will use all available CPUs during query execution ·        Massively Parallel Processing ·        Shared nothing architecture
MonetDB	MonetDB Developer team	·        Open source ·        Column-oriented DBMS ·        Designed for multi-core parallel execution on desktops
Oracle	Oracle Corporation	·        Relies on Shared everything architecture ·        Oracle can flexibly parallelize almost all operations in various ways and degrees, independent of the underlying data layout without overloading the system. ·        Massively Parallel Processing
PostgreSQL	PostgreSQL Global Development Group	·        Postgres currently supports full parallelism in client-side code ·        Implements intraquery parallelism with threads. ·        Still in process to a complete parallelism support like Oracle or DB2.
SQL Anywhere	SAP (Systems, Applications & Products in Data Processing) *world’s 3rd largest software company	·        It supports inter-query and intra-query parallelism ·        It can assign multiple threads to a single request, thus achieving intra-query parallelism. ·        Each request can run on a single thread and execute on a single processor, thus achieving inter-query parallelism
Teradata	Public type company	·        Teradata RDBMS is designed for parallelism ·        The virtual processor (VPROC) is the basic unit of parallelism ·        Teradata PT (Teradata Parallel Transporter) provides parallelism support for data warehouse. ·        Teradata PT supports Pipeline, Data, and Multiple parallelism