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DBMS > Apache Pinot vs. Firebase Realtime Database vs. Hive vs. ReductStore

System Properties Comparison Apache Pinot vs. Firebase Realtime Database vs. Hive vs. ReductStore

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparisonReductStore  Xexclude from comparison
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.data warehouse software for querying and managing large distributed datasets, built on HadoopDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSDocument storeRelational 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitepinot.apache.orgfirebase.google.com/­products/­realtime-databasehive.apache.orggithub.com/­reductstore
www.reduct.store
Technical documentationdocs.pinot.apache.orgfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Homewww.reduct.store/­docs
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookReductStore LLC
Initial release2015201220122023
Current release1.0.0, September 20233.1.3, April 20221.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Rust
Server operating systemsAll OS with a Java JDK11 or higherhostedAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP API
Supported programming languagesGo
Java
Python
Java
JavaScript
Objective-C
C++
Java
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infouser defined functions and integration of map-reduce
TriggersCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles

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More resources
Apache PinotFirebase Realtime DatabaseHiveReductStore
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