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DBMS > BigObject vs. Blueflood vs. CouchDB vs. Databricks vs. RDFox

System Properties Comparison BigObject vs. Blueflood vs. CouchDB vs. Databricks vs. RDFox

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSDocument storeDocument store
Relational DBMS
Graph DBMS
RDF store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational 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
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitebigobject.ioblueflood.iocouchdb.apache.orgwww.databricks.comwww.oxfordsemantic.tech
Technical documentationdocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikidocs.couchdb.org/­en/­stabledocs.databricks.comdocs.oxfordsemantic.tech
DeveloperBigObject, Inc.RackspaceApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksOxford Semantic Technologies
Initial release20152013200520132017
Current release3.3.3, December 20236.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC++
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
Android
BSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeyespredefined schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonowith Databricks SQLno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
C
Java
Server-side scripts infoStored proceduresLuanoView functions in JavaScriptuser defined functions and aggregates
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes infostrategy: optimistic lockingyes
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.yesnononoyes
User concepts infoAccess controlnonoAccess rights for users can be defined per databaseRoles, resources, and access types
More information provided by the system vendor
BigObjectBluefloodCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksRDFox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BigObjectBluefloodCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksRDFox
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