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DBMS > Datomic vs. Firebase Realtime Database vs. Hawkular Metrics vs. Hypertable vs. RDFox

System Properties Comparison Datomic vs. Firebase Realtime Database vs. Hawkular Metrics vs. Hypertable vs. RDFox

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHypertable  Xexclude from comparisonRDFox  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-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.An open source BigTable implementation based on distributed file systems such as HadoopHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument storeTime Series DBMSWide column storeGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.oxfordsemantic.tech
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oxfordsemantic.tech
DeveloperCognitectGoogle infoacquired by Google 2014Community supported by Red HatHypertable Inc.Oxford Semantic Technologies
Initial release20122012201420092017
Current release1.0.6735, June 20230.9.8.11, March 20166.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++C++
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-freeyes infoRDF schemas
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.nonono
Secondary indexesyesyesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonononono
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTC++ API
Thrift
RESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'nono
TriggersBy using transaction functionsCallbacks are triggered when data changesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on Cassandraselectable replication factor on file system levelreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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 ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesnonoRoles, resources, and access types

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More resources
DatomicFirebase Realtime DatabaseHawkular MetricsHypertableRDFox
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