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DBMS > DolphinDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. MarkLogic vs. Tkrzw

System Properties Comparison DolphinDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. MarkLogic vs. Tkrzw

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMarkLogic  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Operational and transactional Enterprise NoSQL databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSDocument storeTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value 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
Score15.00
Rank#39  Overall
#6  Document stores
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitewww.dolphindb.comfirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.marklogic.comdbmx.net/­tkrzw
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.marklogic.com
DeveloperDolphinDB, IncGoogle infoacquired by Google 2014Community supported by Red HatMarkLogic Corp.Mikio Hirabayashi
Initial release20182012201420012020
Current releasev2.00.4, January 202211.0, December 20220.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2.0
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++JavaC++C++
Server operating systemsLinux
Windows
hostedLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenonoyes infoSQL92no
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
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'noyes infovia XQuery or JavaScriptno
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexesyes infousing specific database classes
User concepts infoAccess controlAdministrators, Users, Groupsyes, based on authentication and database rulesnoRole-based access control at the document and subdocument levelsno

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DolphinDBFirebase Realtime DatabaseHawkular MetricsMarkLogicTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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