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DBMS > DolphinDB vs. Hyprcubd vs. TDengine

System Properties Comparison DolphinDB vs. Hyprcubd vs. TDengine

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonTDengine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionDolphinDB 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.Serverless Time Series DBMSTime Series DBMS and big data platform
Primary database modelTime Series DBMS
Vector DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#102  Overall
#8  Time Series DBMS
#6  Vector DBMS
Score2.11
Rank#115  Overall
#9  Time Series DBMS
Websitewww.dolphindb.comhyprcubd.com (offline)github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.tdengine.com
DeveloperDolphinDB, IncHyprcubd, Inc.TDEngine, previously Taos Data
Initial release20182019
Current releasev2.00.4, January 20223.0, August 2022
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC
Server operating systemsLinux
Windows
hostedLinux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyes
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 indexesyesnono
SQL infoSupport of SQLSQL-like query languageSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (https)JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnono
Triggersnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesnoyes
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 controlAdministrators, Users, Groupstoken accessyes
More information provided by the system vendor
DolphinDBHyprcubdTDengine
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
News

By 2025, Who’s Still Not Using REAL Stream Processing?
28 November 2024

High Availability at Low Cost: Dual-Replica Mode and Active-Active Deployment
26 November 2024

Count on It! How TDengine’s Stream Processing Enhances Real-Time Data Handling
21 November 2024

Cache In, Speed Out: InfluxDB vs. TDengine in Real-Time Data
21 November 2024

Powering Predictive Maintenance with a High-Performance Time-Series Database
15 November 2024

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More resources
DolphinDBHyprcubdTDengine
Recent citations in the news

Jeff Tao, TDengine: Becoming the de-facto standard IoT big data platform
4 April 2022, IoT News

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News



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