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DBMS > GreptimeDB vs. Microsoft Azure SQL Database vs. NSDb vs. OpenMLDB vs. OrigoDB

System Properties Comparison GreptimeDB vs. Microsoft Azure SQL Database vs. NSDb vs. OpenMLDB vs. OrigoDB

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn open-source machine learning database that provides a feature platform for training and inferenceA fully ACID in-memory object graph database
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitegreptime.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.ioopenmldb.aiorigodb.com
Technical documentationdocs.greptime.comdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architectureopenmldb.ai/­docs/­zh/­mainorigodb.com/­docs
DeveloperGreptime Inc.Microsoft4 Paradigm Inc.Robert Friberg et al
Initial release20222010201720202009 infounder the name LiveDB
Current releaseV122024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++Java, ScalaC++, Java, ScalaC#
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedLinux
macOS
LinuxLinux
Windows
Data schemeschema-free, schema definition possibleyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesUser 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.noyesnonono infocan be achieved using .NET
Secondary indexesyesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLyesyesSQL-like query languageyesno
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
JDBC
SQLAlchemy
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
C++
Go
Java
Python
Scala
.Net
Server-side scripts infoStored proceduresPythonTransact SQLnonoyes
Triggersyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based authorization
More information provided by the system vendor
GreptimeDBMicrosoft Azure SQL Database infoformerly SQL AzureNSDbOpenMLDBOrigoDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GreptimeDBMicrosoft Azure SQL Database infoformerly SQL AzureNSDbOpenMLDBOrigoDB
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