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DBMS > Firebase Realtime Database vs. Ignite vs. RethinkDB vs. Sadas Engine

System Properties Comparison Firebase Realtime Database vs. Ignite vs. RethinkDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIgnite  Xexclude from comparisonRethinkDB  Xexclude from comparisonSadas Engine  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.DBMS for the Web with a mechanism to push updated query results to applications in realtime.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument storeKey-value store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databaseignite.apache.orgrethinkdb.comwww.sadasengine.com
Technical documentationfirebase.google.com/­docs/­databaseapacheignite.readme.io/­docsrethinkdb.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGoogle infoacquired by Google 2014Apache Software FoundationThe Linux Foundation infosince July 2017SADAS s.r.l.
Initial release2012201520092006
Current releaseApache Ignite 2.62.4.1, August 20208.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)no
TriggersCallbacks are triggered when data changesyes (cache interceptors and events)Client-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.yesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyes, based on authentication and database rulesSecurity Hooks for custom implementationsyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standard

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More resources
Firebase Realtime DatabaseIgniteRethinkDBSadas Engine
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