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DBMS > Firebase Realtime Database vs. Sphinx vs. TinkerGraph vs. Transwarp KunDB

System Properties Comparison Firebase Realtime Database vs. Sphinx vs. TinkerGraph vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonSphinx  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTranswarp KunDB  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.Open source search engine for searching in data from different sources, e.g. relational databasesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelDocument storeSearch engineGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasesphinxsearch.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.transwarp.cn/­en/­product/­kundb
Technical documentationfirebase.google.com/­docs/­databasesphinxsearch.com/­docs
DeveloperGoogle infoacquired by Google 2014Sphinx Technologies Inc.Transwarp
Initial release201220012009
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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
Secondary indexesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)noyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolTinkerPop 3
Supported programming languagesJava
JavaScript
Objective-C
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Groovy
Java
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 infoPartitioning is done manually, search queries against distributed index is supportednonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
noneImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.optionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes, based on authentication and database rulesnonoyes

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More resources
Firebase Realtime DatabaseSphinxTinkerGraphTranswarp KunDB
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