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DBMS > Amazon DocumentDB vs. Datomic vs. Memgraph vs. OpenQM

System Properties Comparison Amazon DocumentDB vs. Datomic vs. Memgraph vs. OpenQM

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonMemgraph  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn 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 storeRelational DBMSGraph DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websiteaws.amazon.com/­documentdbwww.datomic.commemgraph.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.commemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectMemgraph LtdRocket Software, originally Martin Phillips
Initial release2019201220171993
Current release1.0.7075, December 20233.4-12
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSL 1.1; commercial license for enterprise edition 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 languageJava, ClojureC and C++
Server operating systemshostedAll OS with a Java VMLinuxAIX
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 indexesyesyesyes
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
Clojure
Java
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding 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 replicasnone infoBut extensive use of caching in the application peersMulti-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 operationsACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes 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.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users and rolesnoUsers, roles and permissionsAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon DocumentDBDatomicMemgraphOpenQM 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 DocumentDBDatomicMemgraphOpenQM infoalso called QM
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