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DBMS > Apache Druid vs. Firebase Realtime Database vs. Postgres-XL vs. SQLite vs. WakandaDB

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. Postgres-XL vs. SQLite vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSQLite  Xexclude from comparisonWakandaDB  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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresWidely used embeddable, in-process RDBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial 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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasewww.postgres-xl.orgwww.sqlite.orgwakanda.github.io
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasewww.postgres-xl.org/­documentationwww.sqlite.org/­docs.htmlwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014Dwayne Richard HippWakanda SAS
Initial release201220122014 infosince 2012, originally named StormDB20002012
Current release29.0.1, April 202410 R1, October 20183.46.0  (23 May 2024), May 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoMozilla public licenseOpen Source infoPublic DomainOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCCC++, JavaScript
Server operating systemsLinux
OS X
Unix
hostedLinux
macOS
server-lessLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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 infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnoyes infodistributed, parallel query executionyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
JavaScript
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'user defined functionsnoyes
TriggersnoCallbacks are triggered when data changesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.nonoyesno
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 rulesfine grained access rights according to SQL-standardnoyes

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Apache DruidFirebase Realtime DatabasePostgres-XLSQLiteWakandaDB
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