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DBMS > DuckDB vs. Firebase Realtime Database vs. GridDB vs. PieCloudDB

System Properties Comparison DuckDB vs. Firebase Realtime Database vs. GridDB vs. PieCloudDB

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridDB  Xexclude from comparisonPieCloudDB  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSCloud-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 DataA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Websiteduckdb.orgfirebase.google.com/­products/­realtime-databasegriddb.netwww.openpie.com
Technical documentationduckdb.org/­docsfirebase.google.com/­docs/­databasedocs.griddb.net
DeveloperGoogle infoacquired by Google 2014Toshiba CorporationOpenPie
Initial release201820122013
Current release1.0.0, June 20245.1, August 20222.1, January 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsserver-lesshostedLinuxhosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
CLI Client
JDBC
ODBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Java
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nouser defined functions
TriggersnoCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes
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 containersImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesAccess rights for users can be defined per databaseUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
DuckDBFirebase Realtime DatabaseGridDBPieCloudDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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DuckDBFirebase Realtime DatabaseGridDBPieCloudDB
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