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The following tables compare general and technical information for a number of online analytical processing (OLAP) servers. Please see the individual products articles for further information. Please see the individual products articles for further information.
(HTTP Live Streaming, Smooth Streaming, HTTP Dynamic Streaming) Yes: Yes Yes No Yes Yes Yes Yes Yes (RTMP, RTMPE, RTMPTE, RTMPT, RTMPS, RTMP Dynamic Streaming) Yes No No Yes Yes Name HTTP MPEG DASH WebRTC RTSP MMS RTP RTCP UDP TCP RTMP MPEG TS Real Data Transport Web sockets HLS DASH SRTP
Tool Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect
The data are stored in a standard relational database and can be accessed by any SQL reporting tool (the tool does not have to be an OLAP tool). ROLAP tools are better at handling non-aggregable facts (e.g., textual descriptions). MOLAP tools tend to suffer from slow performance when querying these elements.
The project, originally conceived in 1996, included architecture, software tools, a VLSI implementation and a development board, was funded by DARPA, Intel and Texas Instruments. Another Stanford project, called Merrimac, [11] is aimed at developing a stream-based supercomputer. Merrimac intends to use a stream architecture and advanced ...
That need prompted MongoDB (NASDAQ: MDB) to introduce Atlas, a non-relational database that can store unstructured data types. However, Oracle responded by introducing its own non-relational database.