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DBMS > FaunaDB vs. KairosDB

System Properties Comparison FaunaDB vs. KairosDB

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Our visitors often compare FaunaDB and KairosDB with Cassandra, Google Cloud Firestore and MongoDB.

Editorial information provided by DB-Engines
NameFaunaDB  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionStrongly consistent database capable of global horizontal scale with a focus on operational simplicityDistributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#212  Overall
#29  Document stores
#17  Graph DBMS
#102  Relational DBMS
#11  Time Series DBMS
Score0.54
Rank#193  Overall
#9  Time Series DBMS
Websitefauna.comgithub.com/­kairosdb/­kairosdb
Technical documentationfauna.com/­documentationkairosdb.github.io
DeveloperFauna, Inc.
Initial release20142013
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava
Server operating systemsLinuxLinux
OS X
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIGraphite protocol
HTTP REST
Telnet API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMasterlessselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlIdentity management, authentication, and access controlsimple password-based access control
More information provided by the system vendor
FaunaDBKairosDB
Specific characteristicsServerless cloud database for modern applications Native GraphQL API High performance...
» more
Competitive advantagesDocument-relational interface: combines flexibility in modeling with flexibility...
» more
Typical application scenariosModern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
Key customersNextdoor ShiftX
» more

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

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More resources
FaunaDBKairosDB
Recent citations in the news

Fauna Brings its Globally Distributed Serverless Database to the Netlify Platform
10 September 2019, Yahoo Finance

Fauna Introduces the Industry's First Managed Serverless Database Service
22 August 2019, PRNewswire

FaunaDB now offers a “Managed Serverless” service combining Fauna’s serverless database with a managed solution
22 August 2019, Packt Hub

FaunaDB brings its serverless database to Netlify to help developers create apps
10 September 2019, Packt Hub

Cloud native, chaos-tolerant FaunaDB adds support for SQL, GraphQL, and CQL
9 April 2019, ZDNet

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21 September 2016, TechCrunch

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2 January 2016, InfoQ.com

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