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DBMS > Drizzle vs. Firebase Realtime Database vs. IBM Cloudant vs. jBASE vs. Spark SQL

System Properties Comparison Drizzle vs. Firebase Realtime Database vs. IBM Cloudant vs. jBASE vs. Spark SQL

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonjBASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Database as a Service offering based on Apache CouchDBA robust multi-value DBMS comprising development tools and middlewareSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeDocument storeMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score2.75
Rank#104  Overall
#19  Document stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­cloudantwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasespark.apache.org/­sql
Technical documentationfirebase.google.com/­docs/­databasecloud.ibm.com/­docs/­Cloudantdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Rocket Software (formerly Zumasys)Apache Software Foundation
Initial release20082012201019912014
Current release7.2.4, September 20125.73.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangScala
Server operating systemsFreeBSD
Linux
OS X
hostedhostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnooptionalyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnonoEmbedded SQL for jBASE in BASICSQL-like DML and DDL statements
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
Java
JavaScript
Objective-C
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Basic
Jabbascript
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'View functions (Map-Reduce) in JavaScriptyesno
Triggersno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.noyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelno

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More resources
DrizzleFirebase Realtime DatabaseIBM CloudantjBASESpark SQL
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