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DBMS > DataFS vs. DolphinDB vs. Hawkular Metrics vs. LeanXcale vs. LokiJS

System Properties Comparison DataFS vs. DolphinDB vs. Hawkular Metrics vs. LeanXcale vs. LokiJS

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDolphinDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.DolphinDB 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-memory JavaScript DBMS
Primary database modelObject oriented DBMSTime Series DBMSTime Series DBMSKey-value store
Relational DBMS
Document store
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#362  Overall
#17  Object oriented DBMS
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.48
Rank#262  Overall
#42  Document stores
Websitenewdatabase.comwww.dolphindb.comwww.hawkular.orgwww.leanxcale.comgithub.com/­techfort/­LokiJS
Technical documentationdev.mobiland.com/­Overview.xspdocs.dolphindb.cn/­en/­help200/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJS
DeveloperMobiland AGDolphinDB, IncCommunity supported by Red HatLeanXcale
Initial release20182018201420152014
Current release1.1.263, October 2022v2.00.4, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaScript
Server operating systemsWindowsLinux
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyesschema-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.nononono
Secondary indexesnoyesnoyes infovia views
SQL infoSupport of SQLnoSQL-like query languagenoyes infothrough Apache Derbyno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JavaScript API
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
Python
Ruby
C
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyesnoView functions in JavaScript
Triggersno, except callback-events from server when changes happenednoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlWindows-ProfileAdministrators, Users, Groupsnono

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More resources
DataFSDolphinDBHawkular MetricsLeanXcaleLokiJS
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