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DBMS > Memgraph vs. Microsoft Azure Cosmos DB vs. Tkrzw

System Properties Comparison Memgraph vs. Microsoft Azure Cosmos DB vs. Tkrzw

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jGlobally distributed, horizontally scalable, multi-model database serviceA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitememgraph.comazure.microsoft.com/­services/­cosmos-dbdbmx.net/­tkrzw
Technical documentationmemgraph.com/­docslearn.microsoft.com/­azure/­cosmos-db
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdMicrosoftMikio Hirabayashi
Initial release201720142020
Current release0.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++
Server operating systemsLinuxhostedLinux
macOS
Data schemeschema-free and schema-optionalschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesno
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.nono
Secondary indexesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsBolt protocol
Cypher query language
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptno
TriggersJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlUsers, roles and permissionsAccess rights can be defined down to the item levelno
More information provided by the system vendor
MemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
MemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Recent citations in the news

Enhance Your Network with the Power of a Graph DB
4 May 2024, Towards Data Science

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

Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D
20 October 2021, The Recursive

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

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10 November 2023, InfoQ.com

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