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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. JanusGraph vs. Memcached vs. TempoIQ

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. JanusGraph vs. Memcached vs. TempoIQ

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMemcached  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017In-memory key-value store, originally intended for cachingScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelDocument storeTime Series DBMSGraph DBMSKey-value storeTime 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
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgjanusgraph.orgwww.memcached.orgtempoiq.com (offline)
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.janusgraph.orggithub.com/­memcached/­memcached/­wiki
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatLinux Foundation; originally developed as Titan by AureliusDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTempoIQ
Initial release20122014201720032012
Current release0.6.3, February 20231.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesnoyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocolHTTP API
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
Clojure
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesnono
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
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
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes, based on authentication and database rulesnoUser authentification and security via Rexster Graph Serveryes infousing SASL (Simple Authentication and Security Layer) protocolsimple authentication-based access control

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More resources
Firebase Realtime DatabaseHawkular MetricsJanusGraph infosuccessor of TitanMemcachedTempoIQ infoformerly TempoDB
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