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DBMS > Drizzle vs. Firebase Realtime Database vs. GigaSpaces vs. PouchDB vs. Titan

System Properties Comparison Drizzle vs. Firebase Realtime Database vs. GigaSpaces vs. PouchDB vs. Titan

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparisonTitan  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.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsJavaScript DBMS with an API inspired by CouchDBTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Document storeGraph DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.compouchdb.comgithub.com/­thinkaurelius/­titan
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guidesgithub.com/­thinkaurelius/­titan/­wiki
DeveloperDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014Gigaspaces TechnologiesApache Software FoundationAurelius, owned by DataStax
Initial release20082012200020122012
Current release7.2.4, September 201215.5, September 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetJavaScriptJava
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-99 for query and DML statementsnono
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C++
Java
PHP
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
JavaScriptClojure
Java
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yesView functions in JavaScriptyes
Triggersno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesRole-based access controlnoUser authentification and security via Rexster Graph Server

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DrizzleFirebase Realtime DatabaseGigaSpacesPouchDBTitan
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