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DBMS > Firebase Realtime Database vs. Netezza vs. Riak KV vs. Sqrrl

System Properties Comparison Firebase Realtime Database vs. Netezza vs. Riak KV vs. Sqrrl

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak KV  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Data warehouse and analytics appliance part of IBM PureSystemsDistributed, fault tolerant key-value storeAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­netezzasqrrl.com
Technical documentationfirebase.google.com/­docs/­databasewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogle infoacquired by Google 2014IBMOpenSource, formerly Basho TechnologiesAmazon infooriginally Sqrrl Data, Inc.
Initial release2012200020092012
Current release3.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen 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 languageErlangJava
Server operating systemshostedLinux infoincluded in applianceLinux
OS X
Linux
Data schemeschema-freeyesschema-freeschema-free
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.nono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesJava
JavaScript
Objective-C
C
C++
Fortran
Java
Lua
Perl
Python
R
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesErlangno
TriggersCallbacks are triggered when data changesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlyes, based on authentication and database rulesUsers with fine-grained authorization conceptyes, using Riak SecurityCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Firebase Realtime DatabaseNetezza infoAlso called PureData System for Analytics by IBMRiak KVSqrrl
DB-Engines blog posts

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