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DBMS > Databend vs. DolphinDB vs. EsgynDB

System Properties Comparison Databend vs. DolphinDB vs. EsgynDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDolphinDB  Xexclude from comparisonEsgynDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDolphinDB 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.dolphindb.comwww.esgyn.cn
Technical documentationdocs.databend.comdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperDatabend LabsDolphinDB, IncEsgyn
Initial release202120182015
Current release1.0.59, April 2023v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++C++, Java
Server operating systemshosted
Linux
macOS
Linux
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACID
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAdministrators, Users, Groupsfine grained access rights according to SQL-standard

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DatabendDolphinDBEsgynDB
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