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  2. Protocol Buffers - Wikipedia

    en.wikipedia.org/wiki/Protocol_Buffers

    Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.

  3. Cap'n Proto - Wikipedia

    en.wikipedia.org/wiki/Cap'n_Proto

    Cap'n Proto tries to make the storage/network protocol appropriate as an in-memory format, so that no translation step is needed when reading data into memory or writing data out of memory. [note 1] For example, the representation of numbers was chosen to match the representation the most popular CPU architectures. [4]

  4. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    ^ The current default format is binary. ^ The "classic" format is plain text, and an XML format is also supported. ^ Theoretically possible due to abstraction, but no implementation is included. ^ The primary format is binary, but text and JSON formats are available. [8] [9]

  5. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    FlatBuffers is a free software library implementing a serialization format similar to Protocol Buffers, Thrift, Apache Avro, SBE, and Cap'n Proto, primarily written by Wouter van Oortmerssen and open-sourced by Google. It supports “zero-copy” deserialization, so that accessing the serialized data does not require first copying it into a ...

  6. Oracle SQL Developer - Wikipedia

    en.wikipedia.org/wiki/Oracle_SQL_Developer

    Oracle SQL Developer supports Oracle products. In the past a variety of third-party plugins were supported which users were able to deploy to connect to non-Oracle databases. Oracle SQL Developer worked with IBM Db2, Microsoft Access, Microsoft SQL Server, MySQL, Sybase Adaptive Server, Amazon Redshift and Teradata databases. [4]

  7. SPARQL - Wikipedia

    en.wikipedia.org/wiki/SPARQL

    The programming model becomes what a SQL statement would be like with multiple WHERE clauses. The combination of list-aware subjects and objects plus a pipeline approach can yield extremely expressive queries spanning many different domains of data. Here is a more comprehensive example that illustrates the pipeline using some syntax shortcuts.

  8. Gupta Technologies - Wikipedia

    en.wikipedia.org/wiki/Gupta_Technologies

    The company was founded in 1984 by Umang Gupta, a former vice president at Oracle Corporation.Gupta's first product was SQLBase, followed by SQLWindows, which combined SQLBase with a graphical user interface and programming language for creating business applications.

  9. Tabular Data Stream - Wikipedia

    en.wikipedia.org/wiki/Tabular_Data_Stream

    In 1990 Sybase entered into a technology-sharing agreement with Microsoft which resulted in Microsoft marketing its own SQL Server — Microsoft SQL Server — based on Sybase's code. Microsoft kept the db-lib API and added ODBC. (Microsoft has since added additional APIs.)