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DBMS > DuckDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. MarkLogic vs. RDFox

System Properties Comparison DuckDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. MarkLogic vs. RDFox

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSCloud-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.Operational and transactional Enterprise NoSQL databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument storeTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.68
Rank#76  Overall
#41  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Websiteduckdb.orgfirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.marklogic.comwww.oxfordsemantic.tech
Technical documentationduckdb.org/­docsfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.marklogic.comdocs.oxfordsemantic.tech
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatMarkLogic Corp.Oxford Semantic Technologies
Initial release20182012201420012017
Current release0.10, February 202411.0, December 20226.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++
Server operating systemsserver-lesshostedLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforcedyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnonoyes infoSQL92no
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyes infovia XQuery or JavaScript
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
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 dataACIDyesnoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnoyes, with Range Indexesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesnoRole-based access control at the document and subdocument levelsRoles, resources, and access types

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More resources
DuckDBFirebase Realtime DatabaseHawkular MetricsMarkLogicRDFox
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