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DBMS > Apache Druid vs. BigchainDB vs. Firebase Realtime Database vs. IBM Cloudant vs. RDFox

System Properties Comparison Apache Druid vs. BigchainDB vs. Firebase Realtime Database vs. IBM Cloudant vs. RDFox

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Database as a Service offering based on Apache CouchDBHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS
Time Series DBMS
Document storeDocument storeDocument storeGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score2.75
Rank#104  Overall
#19  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitedruid.apache.orgwww.bigchaindb.comfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­cloudantwww.oxfordsemantic.tech
Technical documentationdruid.apache.org/­docs/­latest/­designbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasecloud.ibm.com/­docs/­Cloudantdocs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Oxford Semantic Technologies
Initial release20122016201220102017
Current release29.0.1, April 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL v3commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonErlangC++
Server operating systemsLinux
OS X
Unix
LinuxhostedhostedLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL for queryingnononono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'View functions (Map-Reduce) in JavaScript
TriggersnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorMulti-source replication
Source-replica replication
replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesyes, based on authentication and database rulesAccess rights for users can be defined per databaseRoles, resources, and access types

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More resources
Apache DruidBigchainDBFirebase Realtime DatabaseIBM CloudantRDFox
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