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DBMS > DuckDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. Titan

System Properties Comparison DuckDB vs. Firebase Realtime Database vs. Hawkular Metrics vs. Titan

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSDocument storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websiteduckdb.orgfirebase.google.com/­products/­realtime-databasewww.hawkular.orggithub.com/­thinkaurelius/­titan
Technical documentationduckdb.org/­docsfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatAurelius, owned by DataStax
Initial release2018201220142012
Current release0.10, February 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsserver-lesshostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
Clojure
Java
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyes
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrayes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
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
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoyes, based on authentication and database rulesnoUser authentification and security via Rexster Graph Server

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More resources
DuckDBFirebase Realtime DatabaseHawkular MetricsTitan
DB-Engines blog posts

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