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DBMS > RavenDB vs. RDF4J vs. Splice Machine vs. SWC-DB vs. Tigris

System Properties Comparison RavenDB vs. RDF4J vs. Splice Machine vs. SWC-DB vs. Tigris

Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMSA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument storeRDF storeRelational DBMSWide column storeDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#101  Overall
#18  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websiteravendb.netrdf4j.orgsplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tigrisdata.com
Technical documentationravendb.net/­docsrdf4j.org/­documentationsplicemachine.com/­how-it-workswww.tigrisdata.com/­docs
DeveloperHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splice MachineAlex KashirinTigris Data, Inc.
Initial release20102004201420202022
Current release5.4, July 20223.1, March 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaJavaC++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeyes infoRDF Schemasyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (RQL)noyesSQL-like query languageno
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyesyesyes infoJavanono
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault 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 integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAuthorization levels configured per client per databasenoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
RavenDBRDF4J infoformerly known as SesameSplice MachineSWC-DB infoSuper Wide Column DatabaseTigris
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