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DBMS > Apache Druid vs. Firebase Realtime Database vs. Oracle Berkeley DB

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
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.Widely used in-process key-value store
Primary database modelRelational DBMS
Time Series DBMS
Document storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasedocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201220121994
Current release29.0.1, April 202418.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Unix
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'no
TriggersnoCallbacks are triggered when data changesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
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 DruidFirebase Realtime DatabaseOracle Berkeley DB
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