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DBMS > Databend vs. DolphinDB vs. FatDB vs. Hypertable

System Properties Comparison Databend vs. DolphinDB vs. FatDB vs. Hypertable

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonHypertable  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Wide column store
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
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.dolphindb.com
Technical documentationdocs.databend.comdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperDatabend LabsDolphinDB, IncFatCloudHypertable Inc.
Initial release2021201820122009
Current release1.0.59, April 2023v2.00.4, January 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availablecommercialOpen Source infoGNU version 3. Commercial license available
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 languageRustC++C#C++
Server operating systemshosted
Linux
macOS
Linux
Windows
WindowsLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyesSQL-like query languageno infoVia inetgration in SQL Serverno
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
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
C++ API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infovia applicationsno
Triggersnonoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factorselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAdministrators, Users, Groupsno infoCan implement custom security layer via applicationsno

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More resources
DatabendDolphinDBFatDBHypertable
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