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  2. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.

  3. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...

  4. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    The base data and the dimension tables are stored as relational tables and new tables are created to hold the aggregated information. It depends on a specialized schema design. This methodology relies on manipulating the data stored in the relational database to give the appearance of traditional OLAP's slicing and dicing functionality.

  5. TerminusDB - Wikipedia

    en.wikipedia.org/wiki/TerminusDB

    TerminusDB is an in-memory graph database management system with a rich query language. The design of the underlying data structure , which is implemented in a Rust library , uses a succinct data structures and delta encoding approach drawing inspiration from software source control systems like Git . [ 21 ]

  6. SAP IQ - Wikipedia

    en.wikipedia.org/wiki/SAP_IQ

    Once the data is analyzed it is integrated into SAP IQ via Near-line storage mechanisms (as described above). Here SAP IQ acts as an enterprise data warehouse that receives data from a variety of traditional sources (such as OLTP Databases and files systems), and SAP HANA Operational Data Store(ODS) [7] Q - the easy Installer for SAP IQ

  7. Data warehouse - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse

    Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...

  8. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    Spanner, Google's global-scale distributed database, shards across multiple Paxos state machines to scale to "millions of machines across hundreds of data centers and trillions of database rows". [22] SQLAlchemy ORM, a data-mapper for the Python programming language shards. [23] SQL Server, since SQL Server 2005 shards with help of 3rd party ...

  9. Data transformation (computing) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    Code generation is the process of generating executable code (e.g. SQL, Python, R, or other executable instructions) that will transform the data based on the desired and defined data mapping rules. [4] Typically, the data transformation technologies generate this code [5] based on the definitions or metadata defined by the developers.