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DBMS > OpenMLDB vs. RavenDB vs. Realm vs. SingleStore vs. SWC-DB

System Properties Comparison OpenMLDB vs. RavenDB vs. Realm vs. SingleStore vs. SWC-DB

Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRealm  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSDocument storeDocument storeRelational DBMSWide column store
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score7.18
Rank#52  Overall
#8  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Websiteopenmldb.airavendb.netrealm.iowww.singlestore.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationopenmldb.ai/­docs/­zh/­mainravendb.net/­docsrealm.io/­docsdocs.singlestore.com
Developer4 Paradigm Inc.Hibernating RhinosRealm, acquired by MongoDB in May 2019SingleStore Inc.Alex Kashirin
Initial release20202010201420132020
Current release2024-2 February 20245.4, July 20228.5, January 20240.5, April 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen Sourcecommercial infofree developer edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, ScalaC#C++, GoC++
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
Android
Backend: server-less
iOS
Windows
Linux info64 bit version requiredLinux
Data schemeFixed schemaschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (RQL)noyes infobut no triggers and foreign keysSQL-like query language
APIs and other access methodsJDBC
SQLAlchemy
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocol
Thrift
Supported programming languagesC++
Go
Java
Python
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresnoyesno inforuns within the applications so server-side scripts are unnecessaryyesno
Triggersnoyesyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault 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.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseyesFine grained access control via users, groups and roles

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More resources
OpenMLDBRavenDBRealmSingleStore infoformer name was MemSQLSWC-DB infoSuper Wide Column Database
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