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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. Milvus vs. VictoriaMetrics

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. Milvus vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMilvus  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionCloud-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.A DBMS designed for efficient storage of vector data and vector similarity searchesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeTime Series DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgmilvus.iovictoriametrics.com
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidemilvus.io/­docs/­overview.mddocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatVictoriaMetrics
Initial release2012201420192018
Current release2.3.4, January 2024v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++, GoGo
Server operating systemshostedLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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 indexesyesnono
SQL infoSupport of SQLnononono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTRESTful HTTP APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonono
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes, based on authentication and database rulesnoRole based access control and fine grained access rights
More information provided by the system vendor
Firebase Realtime DatabaseHawkular MetricsMilvusVictoriaMetrics
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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Firebase Realtime DatabaseHawkular MetricsMilvusVictoriaMetrics
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