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DBMS > BigObject vs. Blueflood vs. Ehcache vs. GridDB vs. RDFox

System Properties Comparison BigObject vs. Blueflood vs. Ehcache vs. GridDB vs. RDFox

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonEhcache  Xexclude from comparisonGridDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraA widely adopted Java cache with tiered storage optionsScalable in-memory time series database optimized for IoT and Big DataHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSKey-value storeTime Series DBMSGraph DBMS
RDF store
Secondary database modelsKey-value store
Relational DBMS
Relational 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitebigobject.ioblueflood.iowww.ehcache.orggriddb.netwww.oxfordsemantic.tech
Technical documentationdocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikiwww.ehcache.org/­documentationdocs.griddb.netdocs.oxfordsemantic.tech
DeveloperBigObject, Inc.RackspaceTerracotta Inc, owned by Software AGToshiba CorporationOxford Semantic Technologies
Initial release20152013200920132017
Current release3.10.0, March 20225.1, August 20226.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++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
All OS with a Java VMLinuxLinux
macOS
Windows
Data schemeyespredefined schemeschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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 statementsnonoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTJCacheJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresLuanonono
Triggersnonoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayes infoby using Terracotta ServerSource-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Tunable Consistency (Strong, Eventual, Weak)Immediate consistency within container, eventual consistency across containersImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infosupports JTA and can work as an XA resourceACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlnononoAccess rights for users can be defined per databaseRoles, resources, and access types
More information provided by the system vendor
BigObjectBluefloodEhcacheGridDBRDFox
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
BigObjectBluefloodEhcacheGridDBRDFox
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