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DBMS > BigObject vs. Blueflood vs. Drizzle vs. GigaSpaces vs. RDFox

System Properties Comparison BigObject vs. Blueflood vs. Drizzle vs. GigaSpaces vs. RDFox

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRDFox  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF store
Secondary database modelsGraph DBMS
Search engine
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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitebigobject.ioblueflood.iowww.gigaspaces.comwww.oxfordsemantic.tech
Technical documentationdocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikidocs.gigaspaces.com/­latest/­landing.htmldocs.oxfordsemantic.tech
DeveloperBigObject, Inc.RackspaceDrizzle project, originally started by Brian AkerGigaspaces TechnologiesOxford Semantic Technologies
Initial release20152013200820002017
Current release7.2.4, September 201215.5, September 20206.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++, .NetC++
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
FreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
Linux
macOS
Windows
Data schemeyespredefined schemeyesschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infoXML can be used for describing objects metadata
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith proprietary extensionsSQL-99 for query and DML statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C++
Java
PHP
.Net
C++
Java
Python
Scala
C
Java
Server-side scripts infoStored proceduresLuanonoyes
Triggersnonono infohooks for callbacks inside the server can be used.yes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnonoPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlRoles, resources, and access types

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More resources
BigObjectBluefloodDrizzleGigaSpacesRDFox
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