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DBMS > Memgraph

Memgraph System Properties

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Editorial information provided by DB-Engines
NameMemgraph
DescriptionA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#261  Overall
#20  Graph DBMS
Websitememgraph.com
Technical documentationdocs.memgraph.com
Social network pagesLinkedInTwitterFacebookDiscordGitHub
DeveloperMemgraph Ltd
Initial release2017
License infoCommercial or Open Sourcecommercial infoFree license available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsLinux
Data schemeschema-free and schema-optional
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
SQL infoSupport of SQLno
APIs and other access methodsBolt protocol
Cypher query language
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers, roles and permissions
More information provided by the system vendor
Memgraph
Specific characteristics

Memgraph directly connects to your streaming infrastructure so you and your team don’t spend countless hours building and maintaining complex data pipelines.

  • Securely ingest data from sources like Kafka, and Amazon S3

  • Get started in minutes using built-in data connectors or our API.

  • Keep your data in sync with your source with continuous data ingestions.

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.

  • Intuitively map complex data problems without having to worry about JOIN operations or other complex constructs.

  • Easily maintain, change, and expand your data model without spending days rethinking it.

  • Enrich your data model by adding attributes and labels to your nodes and relationships, including timestamps, geospatial data types, and much more.

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. 

  • Write complex traversal queries in an easy and intuitive way without worrying about joins and recursions.

  • Leverage hundreds of existing graph algorithms directly from Cypher.

  • Easily extend Cypher with your own custom procedures using Python query modules.

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.

  • Memgraph is engineered from the ground up in C/C++ and leverages an in-memory first architecture to ensure that you’re getting the best possible performance, consistently, and without surprises.

Competitive advantages
  • Business Source License ensures a future for the Memgraph community

  • MAGE algorithm library puts the power of advanced patterns in your hands with almost no code

  • Design and write your own compiled graph algorithms to operate on your data

  • Direct Kafka connection and deep integration means you'll finally be able to take advantage of your streaming data

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.

More resources
Memgraph
Recent citations in the news

Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

ArangoDB brings yet more money into graph database market with $27.8M round
6 October 2021, SiliconANGLE News

The untapped potential of HPC + graph computing
30 October 2021, VentureBeat

Graph Database Market Size is Projected To Reach USD 1546.5 Million By 2026 At A CAGR of 13.9% - Valuates Report
27 September 2021, Yahoo Finance

On mission to make audio and video files searchable, Omnisearch raises $565,000 CAD - BetaKit
8 October 2021, Canadian Startup News

provided by Google News

Job opportunities

Distributed Database Architect and Implementer
Memgraph, Remote

jobs by Indeed



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