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DBMS > GreptimeDB vs. MonetDB vs. NSDb vs. OrigoDB

System Properties Comparison GreptimeDB vs. MonetDB vs. NSDb vs. OrigoDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMonetDB  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA relational database management system that stores data in columnsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph database
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitegreptime.comwww.monetdb.orgnsdb.ioorigodb.com
Technical documentationdocs.greptime.comwww.monetdb.org/­Documentationnsdb.io/­Architectureorigodb.com/­docs
DeveloperGreptime Inc.MonetDB BVRobert Friberg et al
Initial release2022200420172009 infounder the name LiveDB
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCJava, ScalaC#
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
Windows
Data schemeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringUser 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.nonono infocan be achieved using .NET
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesyes infoSQL 2003 with some extensionsSQL-like query languageno
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Scala
.Net
Server-side scripts infoStored proceduresPythonyes, in SQL, C, Rnoyes
Triggersyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardRole based authorization
More information provided by the system vendor
GreptimeDBMonetDBNSDbOrigoDB
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...
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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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GreptimeDBMonetDBNSDbOrigoDB
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