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DBMS > DolphinDB vs. Firebase Realtime Database vs. VictoriaMetrics

System Properties Comparison DolphinDB vs. Firebase Realtime Database vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonVictoriaMetrics  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.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSDocument storeTime Series DBMS
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
Score14.29
Rank#39  Overall
#6  Document stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.dolphindb.comfirebase.google.com/­products/­realtime-databasevictoriametrics.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlfirebase.google.com/­docs/­databasedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDolphinDB, IncGoogle infoacquired by Google 2014VictoriaMetrics
Initial release201820122018
Current releasev2.00.4, January 2022v1.91, May 2023
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsLinux
Windows
hostedFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languagenono
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
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'no
TriggersnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 rules

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More resources
DolphinDBFirebase Realtime DatabaseVictoriaMetrics
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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