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DBMS > Firebase Realtime Database vs. IRONdb vs. ScyllaDB

System Properties Comparison Firebase Realtime Database vs. IRONdb vs. ScyllaDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIRONdb  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityCassandra and DynamoDB compatible wide column store
Primary database modelDocument storeTime Series DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.61
Rank#36  Overall
#6  Document stores
Score0.09
Rank#315  Overall
#28  Time Series DBMS
Score2.59
Rank#109  Overall
#21  Key-value stores
#8  Wide column stores
Websitefirebase.google.com/­products/­realtime-databasewww.circonus.com/­solutions/­time-series-databasewww.scylladb.com
Technical documentationfirebase.google.com/­docs/­databasedocs.circonus.com/­irondbdocs.scylladb.com
DeveloperGoogle infoacquired by Google 2014Circonus LLC.ScyllaDB
Initial release201220172015
Current releaseV0.10.20, January 2018Scylla Open Source 4.0.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemshostedLinuxLinux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes
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 indexesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statements (CQL)
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes, in Luayes, Lua
TriggersCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency per node, eventual consistency across nodesEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tables
User concepts infoAccess controlyes, based on authentication and database rulesnoAccess rights for users can be defined per object
More information provided by the system vendor
Firebase Realtime DatabaseIRONdbScyllaDB
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Scylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
AdTech ( AdGear , Dstillery , MediaMath , Numberly , SAS , SteelHouse , Xandr) Customer...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Comcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more
Scylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Firebase Realtime DatabaseIRONdbScyllaDB
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