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DBMS > Amazon DocumentDB vs. Citus vs. Google Cloud Firestore vs. Sadas Engine vs. WakandaDB

System Properties Comparison Amazon DocumentDB vs. Citus vs. Google Cloud Firestore vs. Sadas Engine vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCitus  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSadas Engine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteaws.amazon.com/­documentdbwww.citusdata.comfirebase.google.com/­products/­firestorewww.sadasengine.comwakanda.github.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.citusdata.comfirebase.google.com/­docs/­firestorewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwakanda.github.io/­doc
DeveloperGoogleSADAS s.r.l.Wakanda SAS
Initial release20192010201720062012
Current release8.1, December 20188.02.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercialcommercial infofree trial version availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++, JavaScript
Server operating systemshostedLinuxhostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, Firebase Rules & Cloud Functionsnoyes
Triggersnoyesyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and roles according to SQL-standardyes

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More resources
Amazon DocumentDBCitusGoogle Cloud FirestoreSadas EngineWakandaDB
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