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DBMS > Datomic vs. RDF4J vs. Snowflake vs. Tkrzw vs. VelocityDB

System Properties Comparison Datomic vs. RDF4J vs. Snowflake vs. Tkrzw vs. VelocityDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSnowflake  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cloud-based data warehousing service for structured and semi-structured dataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRDF storeRelational DBMSKey-value storeGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.datomic.comrdf4j.orgwww.snowflake.comdbmx.net/­tkrzwvelocitydb.com
Technical documentationdocs.datomic.comrdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.htmlvelocitydb.com/­UserGuide
DeveloperCognitectSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.Mikio HirabayashiVelocityDB Inc
Initial release20122004201420202011
Current release1.0.7075, December 20230.9.3, August 20207.x
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++C#
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
hostedLinux
macOS
Any that supports .NET
Data schemeyesyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
CLI Client
JDBC
ODBC
.Net
Supported programming languagesClojure
Java
Java
PHP
Python
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesuser defined functionsnono
TriggersBy using transaction functionsyesno infosimilar concept for controling cloud resourcesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoin-memory storage is supported as wellyesyesyes
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 developmentnoyes infousing specific database classesyes
User concepts infoAccess controlnonoUsers with fine-grained authorization concept, user roles and pluggable authenticationnoBased on Windows Authentication

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More resources
DatomicRDF4J infoformerly known as SesameSnowflakeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVelocityDB
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