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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. Ignite vs. OpenMLDB

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. Ignite vs. OpenMLDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonOpenMLDB  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument storeTime Series DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgignite.apache.orgopenmldb.ai
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docsopenmldb.ai/­docs/­zh/­main
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatApache Software Foundation4 Paradigm Inc.
Initial release2012201420152020
Current releaseApache Ignite 2.62024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC++, Java, Scala
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
SQLAlchemy
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes (compute grid and cache interceptors can be used instead)no
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
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.noyesyes
User concepts infoAccess controlyes, based on authentication and database rulesnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseHawkular MetricsIgniteOpenMLDB
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