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DBMS > chDB vs. Cubrid vs. DolphinDB vs. NSDb

System Properties Comparison chDB vs. Cubrid vs. DolphinDB vs. NSDb

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonCubrid  Xexclude from comparisonDolphinDB  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitegithub.com/­chdb-io/­chdbcubrid.com (korean)
cubrid.org (english)
www.dolphindb.comnsdb.io
Technical documentationdoc.chdb.iocubrid.org/­manualsdocs.dolphindb.cn/­en/­help200/­index.htmlnsdb.io/­Architecture
DeveloperCUBRID Corporation, CUBRID FoundationDolphinDB, Inc
Initial release2023200820182017
Current release11.0, January 2021v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree community version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++Java, Scala
Server operating systemsserver-lessLinux
Windows
Linux
Windows
Linux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, string
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 indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesSQL-like query languageSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC
HTTP REST
WebSocket
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, Groups

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