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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. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Graph databases portray the data as it is viewed conceptually. This is accomplished by transferring the data into nodes and its relationships into edges. A graph database is a database that is based on graph theory. It consists of a set of objects, which can be a node or an edge.

  4. Aerospike (database) - Wikipedia

    en.wikipedia.org/wiki/Aerospike_(database)

    Aerospike Database is a real-time, high performance NoSQL database. Designed for applications that cannot experience any downtime and require high read & write throughput. Aerospike is optimized to run on NVMe SSDs capable of efficiently storing large datasets (Gigabytes to Petabytes). Aerospike can also be deployed as a fully in-memory cache ...

  5. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    Aerospike is a flash-optimized and in-memory distributed key value NoSQL database which also supports a document store model. [5] Yes [6] AllegroGraph: Franz, Inc. Proprietary: Java, Python, Common Lisp, Ruby, Scala, C#, Perl: The database platform supports document store and graph data models in a single database.

  6. ArangoDB - Wikipedia

    en.wikipedia.org/wiki/ArangoDB

    ArangoDB is a graph database system developed by ArangoDB Inc. ArangoDB is a multi-model database system since it supports three data models (graphs, JSON documents, key/value) [1] with one database core and a unified query language AQL (ArangoDB Query Language).

  7. FoundationDB - Wikipedia

    en.wikipedia.org/wiki/FoundationDB

    FoundationDB is a free and open-source multi-model distributed NoSQL database developed by Apple Inc. with a shared-nothing architecture. [3] The product was designed around a "core" database, with additional features supplied in "layers." [4] The core database exposes an ordered key–value store with transactions. [5]

  8. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]

  9. ScyllaDB - Wikipedia

    en.wikipedia.org/wiki/ScyllaDB

    ScyllaDB is an source-available distributed NoSQL wide-column data store.It was designed to be compatible with Apache Cassandra while achieving significantly higher throughputs and lower latencies.