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DBMS > eXtremeDB vs. Firebase Realtime Database vs. GridDB

System Properties Comparison eXtremeDB vs. Firebase Realtime Database vs. GridDB

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelRelational DBMS
Time Series DBMS
Document storeTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Websitewww.mcobject.comfirebase.google.com/­products/­realtime-databasegriddb.net
Technical documentationwww.mcobject.com/­docs/­extremedb.htmfirebase.google.com/­docs/­databasedocs.griddb.net
DeveloperMcObjectGoogle infoacquired by Google 2014Toshiba Corporation
Initial release200120122013
Current release8.2, 20215.1, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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.no infosupport of XML interfaces availablenono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
Java
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'no
Triggersyes infoby defining eventsCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID at container level
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per database
More information provided by the system vendor
eXtremeDBFirebase Realtime DatabaseGridDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
GitHub trending repository
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
eXtremeDBFirebase Realtime DatabaseGridDB
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