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DBMS > Fauna vs. Firebase Realtime Database vs. Hawkular Metrics vs. OrigoDB vs. TimescaleDB

System Properties Comparison Fauna vs. Firebase Realtime Database vs. Hawkular Metrics vs. OrigoDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Cloud-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 fully ACID in-memory object graph databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document storeTime Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitefauna.comfirebase.google.com/­products/­realtime-databasewww.hawkular.orgorigodb.comwww.timescale.com
Technical documentationdocs.fauna.comfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docsdocs.timescale.com
DeveloperFauna, Inc.Google infoacquired by Google 2014Community supported by Red HatRobert Friberg et alTimescale
Initial release2014201220142009 infounder the name LiveDB2017
Current release2.13.0, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaC#C
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesUser defined using .NET types and collectionsnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 infocan be achieved using .NETyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnonononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'noyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlIdentity management, authentication, and access controlyes, based on authentication and database rulesnoRole based authorizationfine grained access rights according to SQL-standard

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More resources
Fauna infopreviously named FaunaDBFirebase Realtime DatabaseHawkular MetricsOrigoDBTimescaleDB
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