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DBMS > Datomic vs. Dolt vs. Graph Engine vs. Memgraph

System Properties Comparison Datomic vs. Dolt vs. Graph Engine vs. Memgraph

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolt  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA MySQL compatible DBMS with Git-like versioning of data and schemaA 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 Neo4j
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.19
Rank#94  Overall
#8  Graph DBMS
Websitewww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
www.graphengine.iomemgraph.com
Technical documentationdocs.datomic.comdocs.dolthub.comwww.graphengine.io/­docs/­manualmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectDoltHub IncMicrosoftMemgraph Ltd
Initial release2012201820102017
Current release1.0.7075, December 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureGo.NET and CC and C++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
.NETLinux
Data schemeyesyesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
RESTful HTTP APIBolt protocol
Cypher query language
Supported programming languagesClojure
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
F#
Visual Basic
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infocurrently in alpha releaseyes
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonehorizontal partitioningSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesoptional: 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 changes
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 developmentyesyes
User concepts infoAccess controlnoOnly one user is configurable, and must be specified in the config file at startupUsers, roles and permissions
More information provided by the system vendor
DatomicDoltGraph Engine infoformer name: TrinityMemgraph
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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DatomicDoltGraph Engine infoformer name: TrinityMemgraph
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