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DBMS > Firebase Realtime Database vs. GigaSpaces vs. HEAVY.AI vs. jBASE vs. SWC-DB

System Properties Comparison Firebase Realtime Database vs. GigaSpaces vs. HEAVY.AI vs. jBASE vs. SWC-DB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust multi-value DBMS comprising development tools and middlewareA high performance, scalable Wide Column DBMS
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSMultivalue DBMSWide column store
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSTime Series DBMS
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
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmldocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperGoogle infoacquired by Google 2014Gigaspaces TechnologiesHEAVY.AI, Inc.Rocket Software (formerly Zumasys)Alex Kashirin
Initial release20122000201619912020
Current release15.5, September 20205.10, January 20225.70.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++ and CUDAC++
Server operating systemshostedLinux
macOS
Solaris
Windows
LinuxAIX
Linux
Windows
Linux
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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 metadatanoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesEmbedded SQL for jBASE in BASICSQL-like query language
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Proprietary protocol
Thrift
Supported programming languagesJava
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
C++
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesnoyesno
TriggersCallbacks are triggered when data changesyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
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, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesyesno
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
Firebase Realtime DatabaseGigaSpacesHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASESWC-DB infoSuper Wide Column Database
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