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DBMS > Firebase Realtime Database vs. GreptimeDB vs. Ingres vs. InterSystems Caché

System Properties Comparison Firebase Realtime Database vs. GreptimeDB vs. Ingres vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGreptimeDB  Xexclude from comparisonIngres  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source Time Series DBMS built for increased scalability, high performance and efficiencyWell established RDBMSA multi-model DBMS and application server
Primary database modelDocument storeTime Series DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegreptime.comwww.actian.com/­databases/­ingreswww.intersystems.com/­products/­cache
Technical documentationfirebase.google.com/­docs/­databasedocs.greptime.comdocs.actian.com/­ingresdocs.intersystems.com
DeveloperGoogle infoacquired by Google 2014Greptime Inc.Actian CorporationInterSystems
Initial release201220221974 infooriginally developed at University Berkely in early 1970s1997
Current release11.2, May 20222018.1.4, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
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 languageRustC
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C++
Erlang
Go
Java
JavaScript
C#
C++
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'Pythonyesyes
TriggersCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorSource-replica replication
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
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesSimple rights management via user accountsfine grained access rights according to SQL-standardAccess rights for users, groups and roles
More information provided by the system vendor
Firebase Realtime DatabaseGreptimeDBIngresInterSystems Caché
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Firebase Realtime DatabaseGreptimeDBIngresInterSystems Caché
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