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DBMS > Amazon DocumentDB vs. Graph Engine vs. Memgraph vs. OpenQM

System Properties Comparison Amazon DocumentDB vs. Graph Engine vs. Memgraph vs. OpenQM

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMemgraph  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source graph database built for real-time streaming and compatible with Neo4jQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelDocument storeGraph DBMS
Key-value store
Graph DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websiteaws.amazon.com/­documentdbwww.graphengine.iomemgraph.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationaws.amazon.com/­documentdb/­resourceswww.graphengine.io/­docs/­manualmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMicrosoftMemgraph LtdRocket Software, originally Martin Phillips
Initial release2019201020171993
Current release3.4-12
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infoFree license availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC and C++
Server operating systemshosted.NETLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyesschema-free and schema-optionalyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyes
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.nononoyes
Secondary indexesyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIBolt protocol
Cypher query language
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
F#
Visual Basic
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infodynamic graph partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesUsers, roles and permissionsAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon DocumentDBGraph Engine infoformer name: TrinityMemgraphOpenQM infoalso called QM
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon DocumentDBGraph Engine infoformer name: TrinityMemgraphOpenQM infoalso called QM
Recent citations in the news

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services
15 April 2024, AWS Blog

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
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AWS announces Amazon DocumentDB I/O-Optimized
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AWS announces vector search for Amazon DocumentDB
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Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ...
7 August 2023, PR Newswire

Modeling and Navigating a Transportation Network with Memgraph
12 April 2021, Towards Data Science

London-based Memgraph raises over €8 million in seed funding to provide Streaming Graph Algorithms to the masses
5 October 2021, EU-Startups

Making Your Own Memory Graph To Detect Memory Issues On iOS
13 April 2021, hackernoon.com

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