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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. OpenQM vs. PlanetScale

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. OpenQM vs. PlanetScale

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPlanetScale  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.QpenQM is a high-performance, self-tuning, multi-value DBMSScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument storeTime Series DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmplanetscale.com
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guideplanetscale.com/­docs
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatRocket Software, originally Martin PhillipsPlanetScale
Initial release2012201419932020
Current release3.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemshostedLinux
OS X
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesyes infoproprietary syntax
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandrayesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesMulti-source replication
Source-replica 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
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyes
User concepts infoAccess controlyes, based on authentication and database rulesnoAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Firebase Realtime DatabaseHawkular MetricsOpenQM infoalso called QMPlanetScale
DB-Engines blog posts

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

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