MPP analytical databases : Row-based databases designed to scale out on a cluster of commodity servers and run complex queries in parallel against large volumes of data.
[Teradata Active Data Warehouse, Greenplum (EMC), Microsoft Parallel Data Warehouse, Aster Data (Teradata), Kognitio, Dataupia]
Columnar databases : Database management systems that store data in columns, not rows, and support high data compression ratios.
[ParAccel, Infobright, Sand Technology, Sybase IQ (SAP), Vertica (Hewlett-Packard), 1010data, Exasol, Calpont]
Analytical appliances : Preconfigured hardware-software systems designed for query processing and analytics that require little tuning.
[Netezza (IBM), Teradata Appliances, Oracle Exadata, Greenplum Data Computing Appliance (EMC)]
Analytical bundles : Predefined hardware and software configurations that are certified to meet specific performance criteria, but the customer must purchase and configure themselves.
[IBM SmartAnalytics, Microsoft FastTrack]
In-memory databases : Systems that load data into memory to execute complex queries.
[SAP HANA, Cognos TM1 (IBM), QlikView, Membase]
Distributed file-based systems : Distributed file systems designed for storing, indexing, manipulating and querying large volumes of unstructured and semi-structured data.
[Hadoop (Apache, Cloudera, MapR, IBM, HortonWorks), Apache Hive, Apache Pig]
Analytical services : Analytical platforms delivered as a hosted or public-cloud-based service.
Nonrelational : Nonrelational databases optimized for querying unstructured data as well as structured data.
[MarkLogic Server, MongoDB, Splunk, Attivio, Endeca, Apache Cassandra, Apache Hbase]
CEP/streaming engines: Ingest, filter, calculate, and correlate large volumes of discrete events and apply rules that trigger alerts when conditions are met.
[IBM, Tibco, Streambase, Sybase (Aleri), Opalma, Vitria, Informatica]