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DBMS > BigObject vs. Blueflood vs. IBM Db2 Event Store vs. ITTIA vs. RDFox

System Properties Comparison BigObject vs. Blueflood vs. IBM Db2 Event Store vs. ITTIA vs. RDFox

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonITTIA  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraDistributed Event Store optimized for Internet of Things use casesEdge Time Series DBMS with Real-Time Stream ProcessingHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSEvent Store
Time Series DBMS
Time Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitebigobject.ioblueflood.iowww.ibm.com/­products/­db2-event-storewww.ittia.comwww.oxfordsemantic.tech
Technical documentationdocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikiwww.ibm.com/­docs/­en/­db2-event-storedocs.oxfordsemantic.tech
DeveloperBigObject, Inc.RackspaceIBMITTIA L.L.C.Oxford Semantic Technologies
Initial release20152013201720072017
Current release2.08.76.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C and C++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
macOS
Windows
Data schemeyespredefined schemeyesFixed schemayes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infothrough the embedded Spark runtimeyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
JavaScript (Node.js)
Python
C
Java
Server-side scripts infoStored proceduresLuanoyesyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraActive-active shard replicationyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesNo - written data is immutableyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesYes - 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.yesnoyesyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardDatabase file passwordsRoles, resources, and access types

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More resources
BigObjectBluefloodIBM Db2 Event StoreITTIARDFox
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