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Apache OpenOffice's default file format is the OpenDocument Format (ODF), an ISO/IEC standard. It can also read and write a wide variety of other file formats, with particular attention to those from Microsoft Office – although it cannot save documents in Microsoft's post-2007 Office Open XML formats, but only import them. [8]
ConceptDraw DIAGRAM is cross-platform compatible when running on macOS and Windows operating systems: files created on a computer power by macOS can be opened and edited on a Windows computer, and vice versa. [9] The Developer's end-user license agreement allows for cross-platform installation with a single license.
LibreOffice Draw natively uses Open Document Format for Office Applications (ODF) (.odg graphics extension), which is an international standard file format established by the Organization for the Advancement of Structured Information Standards (OASIS).
Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers. The system prioritizes availability and scalability over consistency , making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. [ 2 ]
Apache POI, a project run by the Apache Software Foundation, and previously a sub-project of the Jakarta Project, provides pure Java libraries for reading and writing files in Microsoft Office formats, such as Word, PowerPoint and Excel.
Apache Ignite's database uses RAM as the default storage and processing tier, thus, belonging to the class of in-memory computing platforms. [2] The disk tier is optional but, once enabled, will hold the full data set whereas the memory tier [ 3 ] will cache the full or partial data set depending on its capacity.
The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).
Apache Impala is an open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. [1] Impala has been described as the open-source equivalent of Google F1 , which inspired its development in 2012.