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DBMS > Fauna vs. GreptimeDB vs. GridDB vs. OrigoDB

System Properties Comparison Fauna vs. GreptimeDB vs. GridDB vs. OrigoDB

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonGridDB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.An open source Time Series DBMS built for increased scalability, high performance and efficiencyScalable in-memory time series database optimized for IoT and Big DataA fully ACID in-memory object graph database
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitefauna.comgreptime.comgriddb.netorigodb.com
Technical documentationdocs.fauna.comdocs.greptime.comdocs.griddb.netorigodb.com/­docs
DeveloperFauna, Inc.Greptime Inc.Toshiba CorporationRobert Friberg et al
Initial release2014202220132009 infounder the name LiveDB
Current release5.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaRustC++C#
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenoyesyes infonumerical, string, blob, geometry, boolean, timestampUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Erlang
Go
Java
JavaScript
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresuser defined functionsPythonnoyes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-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 jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlIdentity management, authentication, and access controlSimple rights management via user accountsAccess rights for users can be defined per databaseRole based authorization
More information provided by the system vendor
Fauna infopreviously named FaunaDBGreptimeDBGridDBOrigoDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
GitHub trending repository
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Fauna infopreviously named FaunaDBGreptimeDBGridDBOrigoDB
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