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DBMS > Firebase Realtime Database vs. HEAVY.AI vs. jBASE vs. Kinetica vs. Stardog

System Properties Comparison Firebase Realtime Database vs. HEAVY.AI vs. jBASE vs. Kinetica vs. Stardog

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonStardog  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.A 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 middlewareFully vectorized database across both GPUs and CPUsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument storeRelational DBMSMultivalue DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score1.43
Rank#160  Overall
#3  Multivalue DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.comwww.stardog.com
Technical documentationfirebase.google.com/­docs/­databasedocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.comdocs.stardog.com
DeveloperGoogle infoacquired by Google 2014HEAVY.AI, Inc.Rocket Software (formerly Zumasys)KineticaStardog-Union
Initial release20122016199120122010
Current release5.10, January 20225.77.1, August 20217.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC, C++Java
Server operating systemshostedLinuxAIX
Linux
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeyesschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyesnono infoImport/export of XML data possible
Secondary indexesyesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJava
JavaScript
Objective-C
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
TriggersCallbacks are triggered when data changesnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 or Eventual Consistency depending on configurationImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoACID
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.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAccess rights for users and roles on table levelAccess rights for users and roles

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More resources
Firebase Realtime DatabaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASEKineticaStardog
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