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DBMS > Apache Druid vs. Axibase vs. Firebase Realtime Database vs. PouchDB

System Properties Comparison Apache Druid vs. Axibase vs. Firebase Realtime Database vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAxibase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitedruid.apache.orgaxibase.com/­docs/­atsd/­financefirebase.google.com/­products/­realtime-databasepouchdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasepouchdb.com/­guides
DeveloperApache Software Foundation and contributorsAxibase CorporationGoogle infoacquired by Google 2014Apache Software Foundation
Initial release2012201320122012
Current release29.0.1, April 2024155857.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScript
Server operating systemsLinux
OS X
Unix
Linuxhostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesno
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 indexesyesnoyesyes infovia views
SQL infoSupport of SQLSQL for queryingSQL-like query languagenono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
Java
JavaScript
Objective-C
JavaScript
Server-side scripts infoStored proceduresnoyeslimited functionality with using 'rules'View functions in JavaScript
TriggersnoyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
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 Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes, based on authentication and database rulesno

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More resources
Apache DruidAxibaseFirebase Realtime DatabasePouchDB
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