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

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGreptimeDB  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.
DescriptionConverged and high performance database for device data, events, time series, document and graphCloud-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 efficiencyA multi-model DBMS and application server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitebangdb.comfirebase.google.com/­products/­realtime-databasegreptime.comwww.intersystems.com/­products/­cache
Technical documentationdocs.bangdb.comfirebase.google.com/­docs/­databasedocs.greptime.comdocs.intersystems.com
DeveloperSachin Sinha, BangDBGoogle infoacquired by Google 2014Greptime Inc.InterSystems
Initial release2012201220221997
Current releaseBangDB 2.0, October 20212018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Rust
Server operating systemsLinuxhostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibledepending on used data model
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
Java
JavaScript
Objective-C
C++
Erlang
Go
Java
JavaScript
C#
C++
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'Pythonyes
Triggersyes, Notifications (with Streaming only)Callbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)yes, based on authentication and database rulesSimple rights management via user accountsAccess rights for users, groups and roles
More information provided by the system vendor
BangdbFirebase Realtime DatabaseGreptimeDBInterSystems 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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BangdbFirebase Realtime DatabaseGreptimeDBInterSystems Caché
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