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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. Written in C++ and optimized for in-memory computing.
Document-oriented database, for storing, retrieving and managing document-oriented information; List of column-oriented DBMSes that store data tables by column rather than by row; List of in-memory databases, which primarily rely on main memory for computer data storage; See Category:Database management systems for a complete lists of articles ...
An in-memory database (IMDb, or main memory database system (MMDB) or memory resident database) is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems that employ a disk storage mechanism. In-memory databases are faster than disk-optimized databases ...
solid DB is a hybrid on-disk/in-memory, relational database and is often used as an embedded system database in telecommunications equipment, network software, and similar systems. In-memory database technology is used to achieve throughput of tens of thousands of transactions per second with response times measured in microseconds.
Although sharing a similar name, heap files are widely different from in-memory heaps. In-memory heaps are ordered, as opposed to heap files. Simplest and most basic method insert efficient, with new records added at the end of the file, providing chronological order; retrieval efficient when the handle to the memory is the address of the memory
Database name Language implemented in Notes Apache Doris Java & C++ Open source (since 2017), database for high-concurrency point queries and high-throughput analysis. Apache Druid: Java Started in 2011 for low-latency massive ingestion and queries. Support and extensions available from Imply Data. Apache Kudu: C++
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A document-oriented database provides APIs or a query/update language that exposes the ability to query or update based on the internal structure in the document. This difference may be minor for users that do not need richer query, retrieval, or editing APIs that are typically provided by document databases.