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DBMS > Graph Engine vs. OpenMLDB vs. Percona Server for MongoDB vs. RavenDB

System Properties Comparison Graph Engine vs. OpenMLDB vs. Percona Server for MongoDB vs. RavenDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open-source machine learning database that provides a feature platform for training and inferenceA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Key-value store
Time Series DBMSDocument storeDocument store
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.graphengine.ioopenmldb.aiwww.percona.com/­mongodb/­software/­percona-server-for-mongodbravendb.net
Technical documentationwww.graphengine.io/­docs/­manualopenmldb.ai/­docs/­zh/­maindocs.percona.com/­percona-distribution-for-mongodbravendb.net/­docs
DeveloperMicrosoft4 Paradigm Inc.PerconaHibernating Rhinos
Initial release2010202020152010
Current release2024-2 February 20243.4.10-2.10, November 20175.4, July 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen SourceOpen Source infoGPL Version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++, Java, ScalaC++C#
Server operating systems.NETLinuxLinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyesFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesnoSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP APIJDBC
SQLAlchemy
proprietary protocol using JSON.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
C++
Go
Java
Python
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoJavaScriptyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAuthorization levels configured per client per database

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More resources
Graph Engine infoformer name: TrinityOpenMLDBPercona Server for MongoDBRavenDB
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