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DBMS > FeatureBase vs. IBM Db2 Event Store vs. RDFox vs. Teradata

System Properties Comparison FeatureBase vs. IBM Db2 Event Store vs. RDFox vs. Teradata

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRDFox  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Distributed Event Store optimized for Internet of Things use casesHigh performance knowledge graph and semantic reasoning engineA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitewww.featurebase.comwww.ibm.com/­products/­db2-event-storewww.oxfordsemantic.techwww.teradata.com
Technical documentationdocs.featurebase.comwww.ibm.com/­docs/­en/­db2-event-storedocs.oxfordsemantic.techdocs.teradata.com
DeveloperMolecula and Pilosa Open Source ContributorsIBMOxford Semantic TechnologiesTeradata
Initial release2017201720171984
Current release2022, May 20222.06.0, Septermber 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++
Server operating systemsLinux
macOS
Linux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
hosted
Linux
Data schemeyesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL queriesyes infothrough the embedded Spark runtimenoyes infoSQL 2016 + extensions
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJava
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationreplication via a shared file systemMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyes, using Linux fsyncYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRoles, resources, and access typesfine grained access rights according to SQL-standard

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FeatureBaseIBM Db2 Event StoreRDFoxTeradata
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