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DBMS > Cubrid vs. GreptimeDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Cubrid vs. GreptimeDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn open source Time Series DBMS built for increased scalability, high performance and efficiencyGlobally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#201  Overall
#94  Relational DBMS
Score0.10
Rank#336  Overall
#30  Time Series DBMS
Score22.96
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecubrid.com (korean)
cubrid.org (english)
greptime.comazure.microsoft.com/­services/­cosmos-db
Technical documentationcubrid.org/­manualsdocs.greptime.comlearn.microsoft.com/­azure/­cosmos-db
DeveloperCUBRID Corporation, CUBRID FoundationGreptime Inc.Microsoft
Initial release200820222014
Current release11.0, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaRust
Server operating systemsLinux
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
hosted
Data schemeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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.nono
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyesyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC
HTTP API
JDBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresJava Stored ProceduresPythonJavaScript
TriggersyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountsAccess rights can be defined down to the item level
More information provided by the system vendor
CubridGreptimeDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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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More resources
CubridGreptimeDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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