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DBMS > Firebase Realtime Database vs. KairosDB vs. Riak KV vs. Teradata

System Properties Comparison Firebase Realtime Database vs. KairosDB vs. Riak KV vs. Teradata

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonKairosDB  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  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.Distributed Time Series DBMS based on Cassandra or H2Distributed, fault tolerant key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­kairosdb/­kairosdbwww.teradata.com
Technical documentationfirebase.google.com/­docs/­databasekairosdb.github.iowww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.com
DeveloperGoogle infoacquired by Google 2014OpenSource, formerly Basho TechnologiesTeradata
Initial release2012201320091984
Current release1.2.2, November 20183.2.0, December 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlang
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
hosted
Linux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes
Secondary indexesyesnorestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
HTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJava
JavaScript
Objective-C
Java
JavaScript infoNode.js
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'noErlangyes infoUDFs, stored procedures, table functions in parallel
TriggersCallbacks are triggered when data changesnoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infono "single point of failure"Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
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.noyes
User concepts infoAccess controlyes, based on authentication and database rulessimple password-based access controlyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseKairosDBRiak KVTeradata
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