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DBMS > DolphinDB vs. Dragonfly vs. Hawkular Metrics vs. TDengine

System Properties Comparison DolphinDB vs. Dragonfly vs. Hawkular Metrics vs. TDengine

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonDragonfly  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTDengine  Xexclude from comparison
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.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Time Series DBMS and big data platform
Primary database modelTime Series DBMSKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.dolphindb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.hawkular.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.dragonflydb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.tdengine.com
DeveloperDolphinDB, IncDragonflyDB team and community contributorsCommunity supported by Red HatTDEngine, previously Taos Data
Initial release2018202320142019
Current releasev2.00.4, January 20221.0, March 20233.0, August 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoAGPL V3, also commercial editions 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 languageC++C++JavaC
Server operating systemsLinux
Windows
LinuxLinux
OS X
Windows
Linux
Windows
Data schemeyesscheme-freeschema-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.nononono
Secondary indexesyesnonono
SQL infoSupport of SQLSQL-like query languagenonoStandard 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
Proprietary protocol infoRESP - REdis Serialization ProtocolHTTP RESTJDBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Go
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesLuanono
Triggersnopublish/subscribe channels provide some trigger functionalityyes infovia Hawkular Alertingyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.yesyesno
User concepts infoAccess controlAdministrators, Users, GroupsPassword-based authenticationnoyes
More information provided by the system vendor
DolphinDBDragonflyHawkular MetricsTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
DolphinDBDragonflyHawkular MetricsTDengine
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