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DBMS > Atos Standard Common Repository vs. RDF4J vs. Snowflake vs. Splunk vs. TypeDB

System Properties Comparison Atos Standard Common Repository vs. RDF4J vs. Snowflake vs. Splunk vs. TypeDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSnowflake  Xexclude from comparisonSplunk  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksRDF4J 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 dataAnalytics Platform for Big DataTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Key-value store
RDF storeRelational DBMSSearch engineGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryrdf4j.orgwww.snowflake.comwww.splunk.comtypedb.com
Technical documentationrdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.htmldocs.splunk.com/­Documentation/­Splunktypedb.com/­docs
DeveloperAtos Convergence CreatorsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.Splunk Inc.Vaticle
Initial release20162004201420032016
Current release17032.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialcommercial infoLimited free edition and free developer edition availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
hostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)yesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsLDAPJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
CLI Client
JDBC
ODBC
HTTP RESTgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesAll languages with LDAP bindingsJava
PHP
Python
JavaScript (Node.js)
Python
C#
Java
JavaScript
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesuser defined functionsyesno
Triggersyesyesno infosimilar concept for controling cloud resourcesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneyesShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoIsolation support depends on the API usedACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yesnonono
User concepts infoAccess controlLDAP bind authenticationnoUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Atos Standard Common RepositoryRDF4J infoformerly known as SesameSnowflakeSplunkTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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More resources
Atos Standard Common RepositoryRDF4J infoformerly known as SesameSnowflakeSplunkTypeDB infoformerly named Grakn
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