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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. SAP SQL Anywhere vs. TDengine vs. ToroDB

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. SAP SQL Anywhere vs. TDengine vs. ToroDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTDengine  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded 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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsTime Series DBMS and big data platformA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument storeTime Series DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsRelational 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
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­torodb/­server
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidehelp.sap.com/­docs/­SAP_SQL_Anywheredocs.tdengine.com
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatSAP infoformerly SybaseTDEngine, previously Taos Data8Kdata
Initial release20122014199220192016
Current release17, July 20153.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java 7 VM
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nonoyesnono
Secondary indexesyesnoyesno
SQL infoSupport of SQLnonoyesStandard SQL with extensions for time-series applications
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTADO.NET
HTTP API
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes, in C/C++, Java, .Net or Perlno
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingyesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication infoDatabase mirroringyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rulesnofine grained access rights according to SQL-standardyesAccess rights for users and roles
More information provided by the system vendor
Firebase Realtime DatabaseHawkular MetricsSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTDengineToroDB
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Firebase Realtime DatabaseHawkular MetricsSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTDengineToroDB
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