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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. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.
Graph databases are commonly referred to as a NoSQL database. Graph databases are similar to 1970s network model databases in that both represent general graphs, but network-model databases operate at a lower level of abstraction [3] and lack easy traversal over a chain of edges. [4] The underlying storage mechanism of graph databases can vary.
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]
TerminusDB is an open source knowledge graph and document store. It is used to build versioned data products. It is a native revision control database that is architecturally similar to Git. It is listed on DB-Engines. TerminusDB provides a document API for building via the JSON exchange format. It implements both GraphQL and a datalog variant ...
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.
NebulaGraph was developed in 2018 by Vesoft Inc. [3] In May 2019, NebulaGraph made free software on GitHub and its alpha version was released same year. [4]In June 2020, NebulaGraph raised $8M in a series pre-A funding round led by Redpoint China Ventures and Matrix Partners China.
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).
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]