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DBMS > 4D vs. Atos Standard Common Repository vs. Blazegraph vs. IBM Db2 Event Store vs. SiteWhere

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Blazegraph vs. IBM Db2 Event Store vs. SiteWhere

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSiteWhere  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Distributed Event Store optimized for Internet of Things use casesM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMS
RDF store
Event Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comwww.ibm.com/­products/­db2-event-storegithub.com/­sitewhere/­sitewhere
Technical documentationdeveloper.4d.comwiki.blazegraph.comwww.ibm.com/­docs/­en/­db2-event-storesitewhere1.sitewhere.io/­index.html
Developer4D, IncAtos Convergence CreatorsBlazegraphIBMSiteWhere
Initial release19842016200620172010
Current releasev20, April 202317032.1.5, March 20192.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoextended commercial license availablecommercial infofree developer edition availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++Java
Server operating systemsOS X
Windows
LinuxLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesoptionalyes infoRDF literal typesyesyes
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.yesyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92noSPARQL is used as query languageyes infothrough the embedded Spark runtimeno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoyesyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesActive-active shard replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryBlazegraphIBM Db2 Event StoreSiteWhere
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