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DBMS > AlaSQL vs. Dragonfly vs. Firebase Realtime Database vs. Hawkular Metrics vs. OrigoDB

System Properties Comparison AlaSQL vs. Dragonfly vs. Firebase Realtime Database vs. Hawkular Metrics vs. OrigoDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDragonfly  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceCloud-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 database
Primary database modelDocument store
Relational DBMS
Key-value storeDocument storeTime Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitealasql.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
firebase.google.com/­products/­realtime-databasewww.hawkular.orgorigodb.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.dragonflydb.io/­docsfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffDragonflyDB team and community contributorsGoogle infoacquired by Google 2014Community supported by Red HatRobert Friberg et al
Initial release20142023201220142009 infounder the name LiveDB
Current release1.0, March 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoBSL 1.1commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++JavaC#
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxhostedLinux
OS X
Windows
Linux
Windows
Data schemeschema-freescheme-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesyesUser defined using .NET types and collections
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.nonononono infocan be achieved using .NET
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nononono
APIs and other access methodsJavaScript APIProprietary protocol infoRESP - REdis Serialization ProtocolAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST.NET Client API
HTTP API
LINQ
Supported programming languagesJavaScriptC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoLualimited functionality with using 'rules'noyes
Triggersyespublish/subscribe channels provide some trigger functionalityCallbacks are triggered when data changesyes infovia Hawkular Alertingyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic execution of command blocks and scriptsyesnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoPassword-based authenticationyes, based on authentication and database rulesnoRole based authorization

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More resources
AlaSQLDragonflyFirebase Realtime DatabaseHawkular MetricsOrigoDB
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