DBMS > Memgraph
Memgraph System Properties
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|Editorial information provided by DB-Engines|
|Description||A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale|
|Primary database model||Graph DBMS|
|Social network pages|
|License Commercial or Open Source||commercial Free license available|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||C and C++|
|Server operating systems||Linux|
|Data scheme||schema-free and schema-optional|
|Typing predefined data types such as float or date||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||no|
|APIs and other access methods||Bolt protocol|
Cypher query language
|Supported programming languages||.Net|
|Partitioning methods Methods for storing different data on different nodes||Sharding dynamic graph partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using RAFT|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||yes relationships in graphs|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID with snapshot isolation|
|Concurrency Support for concurrent manipulation of data||yes, multi-version concurrency control (MVCC)|
|Durability Support for making data persistent||yes with periodic snapshot and write-ahead logging (WAL) of changes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Users, roles and permissions|
|More information provided by the system vendor|
Memgraph directly connects to your streaming infrastructure so you and your team don’t spend countless hours building and maintaining complex data pipelines.
Memgraph uses the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. We believe that this is by far the most natural and effective way to model many real-world problems.
Memgraph provides a standard Cypher interface to query your data. Cypher is a widely-used and declarative query language that is easy to write, understand and optimize for performance.
Memgraph delivers predictable and stable sub-second or single-digit second performance on some of the most complex queries and algorithms while ensuring that your data and results are always correct.
|Typical application scenarios|
|Licensing and pricing models|
You can check out our pricing model and licenses on the company website.
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
Graph database company Memgraph raises $9.34M
ArangoDB brings yet more money into graph database market with $27.8M round
The untapped potential of HPC + graph computing
Graph Database Market Size is Projected To Reach USD 1546.5 Million By 2026 At A CAGR of 13.9% - Valuates Report
On mission to make audio and video files searchable, Omnisearch raises $565,000 CAD - BetaKit
provided by Google News
Distributed Database Architect and Implementer
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