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DBMS > atoti vs. Firebase Realtime Database vs. Sadas Engine

System Properties Comparison atoti vs. Firebase Realtime Database vs. Sadas Engine

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelObject oriented DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#254  Overall
#12  Object oriented DBMS
Score13.87
Rank#39  Overall
#6  Document stores
Score0.00
Rank#378  Overall
#156  Relational DBMS
Websiteatoti.iofirebase.google.com/­products/­realtime-databasewww.sadasengine.com
Technical documentationdocs.atoti.iofirebase.google.com/­docs/­databasewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperActiveViamGoogle infoacquired by Google 2014SADAS s.r.l.
Initial release20122006
Current release8.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAIX
Linux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresPythonlimited functionality with using 'rules'no
TriggersCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles according to SQL-standard

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More resources
atotiFirebase Realtime DatabaseSadas Engine
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