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DBMS > DolphinDB vs. Faircom EDGE vs. Hawkular Metrics vs. LeanXcale vs. LokiJS

System Properties Comparison DolphinDB vs. Faircom EDGE vs. Hawkular Metrics vs. LeanXcale vs. LokiJS

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonLokiJS  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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsHawkular 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 modelTime Series DBMSKey-value store
Relational DBMS
Time Series DBMSKey-value store
Relational DBMS
Document store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational 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
Websitewww.dolphindb.comwww.faircom.com/­products/­faircom-edgewww.hawkular.orgwww.leanxcale.comgithub.com/­techfort/­LokiJS
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJS
DeveloperDolphinDB, IncFairCom CorporationCommunity supported by Red HatLeanXcale
Initial release20181979201420152014
Current releasev2.00.4, January 2022V3, October 2020
License infoCommercial or Open Sourcecommercial infofree community version availablecommercial infoRestricted, free 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++ANSI C, C++JavaJavaScript
Server operating systemsLinux
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesno
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.noyesnono
Secondary indexesyesyesnoyes infovia views
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesnoyes infothrough Apache Derbyno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Go
Java
Python
Ruby
C
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++noView functions in JavaScript
Triggersnoyesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningFile partitioning infoCustomizable business rules for partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integritynoyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.yesyesnoyesyes
User concepts infoAccess controlAdministrators, Users, GroupsFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nono

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More resources
DolphinDBFaircom EDGE infoformerly c-treeEDGEHawkular MetricsLeanXcaleLokiJS
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