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DBMS > AllegroGraph vs. Databricks vs. Datomic vs. RDF4J vs. SwayDB

System Properties Comparison AllegroGraph vs. Databricks vs. Datomic vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Datomic 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.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Relational DBMS
Relational DBMSRDF storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteallegrograph.comwww.databricks.comwww.datomic.comrdf4j.orgswaydb.simer.au
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.databricks.comdocs.datomic.comrdf4j.org/­documentation
DeveloperFranz Inc.DatabricksCognitectSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer Plaha
Initial release20042013201220042018
Current release8.0, December 20231.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infolimited edition freeOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaScala
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)yesyes infoRDF Schemasschema-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.no infobulk load of XML files possibleyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languagewith Databricks SQLnonono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Python
R
Scala
Clojure
Java
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregatesyes infoTransaction Functionsyesno
TriggersyesBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone infoBut extensive use of caching in the application peersnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API usedAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnonono
More information provided by the system vendor
AllegroGraphDatabricksDatomicRDF4J infoformerly known as SesameSwayDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Supported database models : In addition to the Document store and Relational DBMS...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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