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DBMS > Apache Pinot vs. Firebase Realtime Database vs. IBM Cloudant vs. IRONdb vs. SiteWhere

System Properties Comparison Apache Pinot vs. Firebase Realtime Database vs. IBM Cloudant vs. IRONdb vs. SiteWhere

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIRONdb  Xexclude from comparisonSiteWhere  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCloud-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 CouchDBA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument storeDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitepinot.apache.orgfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­cloudantwww.circonus.com/solutions/time-series-database/github.com/­sitewhere/­sitewhere
Technical documentationdocs.pinot.apache.orgfirebase.google.com/­docs/­databasecloud.ibm.com/­docs/­Cloudantdocs.circonus.com/irondb/category/getting-startedsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Circonus LLC.SiteWhere
Initial release20152012201020172010
Current release1.0.0, September 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC and C++Java
Server operating systemsAll OS with a Java JDK11 or higherhostedhostedLinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesnoyes infotext, numeric, histogramsyes
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 indexesyesyesnono
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIHTTP APIHTTP REST
Supported programming languagesGo
Java
Python
Java
JavaScript
Objective-C
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'View functions (Map-Reduce) in JavaScriptyes, in Lua
TriggersCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic, metric affinity per nodeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per databasenoUsers with fine-grained authorization concept

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More resources
Apache PinotFirebase Realtime DatabaseIBM CloudantIRONdbSiteWhere
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