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DBMS > DolphinDB vs. FileMaker vs. Firebase Realtime Database vs. Hawkular Metrics vs. Hypertable

System Properties Comparison DolphinDB vs. FileMaker vs. Firebase Realtime Database vs. Hawkular Metrics vs. Hypertable

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFileMaker  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.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.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelTime Series DBMSRelational DBMSDocument storeTime Series DBMSWide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitewww.dolphindb.comwww.claris.com/­filemakerfirebase.google.com/­products/­realtime-databasewww.hawkular.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.claris.com/­resources/­documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDolphinDB, IncClaris infoa subsidiary of AppleGoogle infoacquired by Google 2014Community supported by Red HatHypertable Inc.
Initial release20181983201220142009
Current releasev2.00.4, January 202219.4.1, November 20210.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesschema-freeschema-freeschema-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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsnonono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Filemaker WebDirect
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTC++ API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
PHPJava
JavaScript
Objective-C
Go
Java
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyeslimited functionality with using 'rules'nono
TriggersnoyesCallbacks are triggered when data changesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14selectable replication factor infobased on Cassandraselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
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 Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyesnono
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.yesno
User concepts infoAccess controlAdministrators, Users, Groupssimple rights management via user accounts and connection to external directory servicesyes, based on authentication and database rulesnono

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More resources
DolphinDBFileMakerFirebase Realtime DatabaseHawkular MetricsHypertable
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