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DBMS > IBM Db2 Event Store vs. RDF4J vs. Snowflake

System Properties Comparison IBM Db2 Event Store vs. RDF4J vs. Snowflake

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesRDF4J 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 data
Primary database modelEvent Store
Time Series DBMS
RDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#345  Overall
#3  Event Stores
#30  Time Series DBMS
Score1.17
Rank#194  Overall
#8  RDF stores
Score117.26
Rank#11  Overall
#8  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storerdf4j.orgwww.snowflake.com
Technical documentationwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmlrdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.
Initial release201720042014
Current release2.0
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
hosted
Data schemeyesyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
CLI Client
JDBC
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesuser defined functions
Triggersnoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes 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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
IBM Db2 Event StoreRDF4J infoformerly known as SesameSnowflake
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