When.com Web Search

Search results

1. Results From The WOW.Com Content Network

2. Graph database - Wikipedia

   en.wikipedia.org/wiki/Graph_database

   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.

3. OrientDB - Wikipedia

   en.wikipedia.org/wiki/OrientDB

   OrientDB is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document and object models, [2] the relationships are managed as in graph databases with direct connections between records. It supports schema-less, schema-full and schema-mixed modes.

4. NoSQL - Wikipedia

   en.wikipedia.org/wiki/NoSQL

   NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Instead of the typical tabular structure of a relational database, NoSQL databases ...

5. 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.

6. Document-oriented database - Wikipedia

   en.wikipedia.org/wiki/Document-oriented_database

   Document-oriented databases are one of the main categories of NoSQL databases, and the popularity of the term "document-oriented database" has grown [2] with the use of the term NoSQL itself. XML databases are a subclass of document-oriented databases that are optimized to work with XML documents. Graph databases are similar, but add another ...

7. 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 ...

8. InfiniteGraph - Wikipedia

   en.wikipedia.org/wiki/InfiniteGraph

   InfiniteGraph is a distributed graph database implemented in Java and C++ and is from a class of NOSQL ("Not Only SQL") database technologies that focus on graph data structures. Developers use InfiniteGraph to find useful and often hidden relationships in highly connected, complex big data sets.

9. Cosmos DB - Wikipedia

   en.wikipedia.org/wiki/Cosmos_DB

   It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]