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DBMS > Firebase Realtime Database vs. Quasardb vs. Sphinx vs. Transbase

System Properties Comparison Firebase Realtime Database vs. Quasardb vs. Sphinx vs. Transbase

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasequasar.aisphinxsearch.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationfirebase.google.com/­docs/­databasedoc.quasar.ai/­mastersphinxsearch.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGoogle infoacquired by Google 2014quasardbSphinx Technologies Inc.Transaction Software GmbH
Initial release2012200920011987
Current release3.14.1, January 20243.5.1, February 2023Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++
Server operating systemshostedBSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes
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.nonono
Secondary indexesyesyes infowith tagsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP APIProprietary protocolADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoyes
TriggersCallbacks are triggered when data changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeno
User concepts infoAccess controlyes, based on authentication and database rulesCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseQuasardbSphinxTransbase
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