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DBMS > Apache Druid vs. Firebase Realtime Database vs. FoundationDB vs. HBase vs. Kinetica

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. FoundationDB vs. HBase vs. Kinetica

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonFoundationDB  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Ordered key-value store. Core features are complimented by layers.Wide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS
Time Series DBMS
Document storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score13.64
Rank#39  Overall
#6  Document stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasegithub.com/­apple/­foundationdbhbase.apache.orgwww.kinetica.com
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databaseapple.github.io/­foundationdbhbase.apache.org/­book.htmldocs.kinetica.com
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014FoundationDBApache Software Foundation infoApache top-level project, originally developed by PowersetKinetica
Initial release20122012201320082012
Current release29.0.1, April 20246.2.28, November 20202.3.4, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC, C++
Server operating systemsLinux
OS X
Unix
hostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-free infosome layers support schemasschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingoptions to bring your own types, AVROyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLSQL for queryingnosupported in specific SQL layer onlynoSQL-like DML and DDL statements
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'in SQL-layer onlyyes infoCoprocessors in Javauser defined functions
TriggersnoCallbacks are triggered when data changesnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Linearizable consistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes infoGPU vRAM or System RAM
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 rulesnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table level

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More resources
Apache DruidFirebase Realtime DatabaseFoundationDBHBaseKinetica
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