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DBMS > DolphinDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. RDF4J vs. TDengine

System Properties Comparison DolphinDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. RDF4J vs. TDengine

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS and big data platform
Primary database modelTime Series DBMSDocument storeTime Series DBMSRDF storeTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.dolphindb.comfirebase.google.com/­products/­realtime-databasewww.hawkular.orgrdf4j.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guiderdf4j.org/­documentationdocs.tdengine.com
DeveloperDolphinDB, IncGoogle infoacquired by Google 2014Community supported by Red HatSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.TDEngine, previously Taos Data
Initial release20182012201420042019
Current releasev2.00.4, January 20223.0, August 2022
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaC
Server operating systemsLinux
Windows
hostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like query languagenononoStandard 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
Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'noyesno
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual 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 datayesyesnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
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, Groupsyes, based on authentication and database rulesnonoyes
More information provided by the system vendor
DolphinDBFirebase Realtime DatabaseHawkular MetricsRDF4J infoformerly known as SesameTDengine
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
DolphinDBFirebase Realtime DatabaseHawkular MetricsRDF4J infoformerly known as SesameTDengine
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