DBDB.io The Encyclopedia of Database Systems · Est. 2017
Database of Databases

Database Entry

Memgraph


Memgraph is a native fully distributed in-memory graph database built to handle real-time use-cases at enterprise scale. It supports strongly-consistent ACID transactions, and uses the standardized openCypher query language. The company has also developed various algorithms that are shipped with the database, such as breadth first search and weighted shortest path. Memgraph is available on-premises or in-cloud, and it is offered in either a single node or distributed version.[03]

Country of Origin
GB
Start Year
2016 [07]
Project Type
Commercial
Written in
C, C++
Supported Languages
C, C#, C++, Elixir, Go, Haskell, Java, JavaScript, PHP, Python, Ruby, Scala
Compatible With
Neo4j
Operating System
Linux
License
Proprietary

Database Entry

Memgraph


Memgraph is a native fully distributed in-memory graph database built to handle real-time use-cases at enterprise scale. It supports strongly-consistent ACID transactions, and uses the standardized openCypher query language. The company has also developed various algorithms that are shipped with the database, such as breadth first search and weighted shortest path. Memgraph is available on-premises or in-cloud, and it is offered in either a single node or distributed version.[03]

History[04]


Memgraph is a graph database start-up that was founded in 2016 by Dominik Tomicevic and Marko Budiselic.

Checkpoints[05]


Snapshots are taken periodically during the entire runtime of Memgraph. When a snapshot is triggered, the whole data storage is written to disk.

Concurrency Control[06]


Memgraph features full ACID-compliant transactions and strong consistency.

Data Model[04]


Memgraph's underlying data model is the property graph model. A property graph consists of nodes and relationships (or vertices and edges). Nodes can hold any number of properties (key-value pairs) and can be assigned labels that represent their roles within a particular domain. For example, a node with a label "person" could have properties such as "name" or "age." Relationships are directed connections between two nodes and contain properties (just like nodes) as well as a single edge type. For example, a relationship in a graph of people can have the edge type "friend of," and a property "since."

Citations

7 sources
  1. Memgraph memgraph.com
  2. Memgraph documentation memgraph.com
  3. Frequently asked questions memgraph.com
  4. Memgraph memgraph.com
  5. Storage memory usage memgraph.com
  6. Memgraph database memgraph.com
  7. https://www.crunchbase.com/organization/memgraph#section-overview crunchbase.com
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