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DBMS > Firebase Realtime Database vs. Newts vs. Snowflake vs. WakandaDB

System Properties Comparison Firebase Realtime Database vs. Newts vs. Snowflake vs. WakandaDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonNewts  Xexclude from comparisonSnowflake  Xexclude from comparisonWakandaDB  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.Time Series DBMS based on CassandraCloud-based data warehousing service for structured and semi-structured dataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeTime Series DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databaseopennms.github.io/­newtswww.snowflake.comwakanda.github.io
Technical documentationfirebase.google.com/­docs/­databasegithub.com/­OpenNMS/­newts/­wikidocs.snowflake.net/­manuals/­index.htmlwakanda.github.io/­doc
DeveloperGoogle infoacquired by Google 2014OpenNMS GroupSnowflake Computing Inc.Wakanda SAS
Initial release2012201420142012
Current release2.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaScript
Server operating systemshostedLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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.nonoyesno
Secondary indexesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Java API
CLI Client
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
JavaJavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored procedureslimited functionality with using 'rules'nouser defined functionsyes
TriggersCallbacks are triggered when data changesnono infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes, based on authentication and database rulesnoUsers with fine-grained authorization concept, user roles and pluggable authenticationyes

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More resources
Firebase Realtime DatabaseNewtsSnowflakeWakandaDB
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