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DBMS > Amazon DocumentDB vs. Badger vs. CouchDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon DocumentDB vs. Badger vs. CouchDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBadger  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument storeKey-value storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.22
Rank#320  Overall
#47  Key-value stores
Score8.30
Rank#47  Overall
#7  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dgraph-io/­badgercouchdb.apache.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationaws.amazon.com/­documentdb/­resourcesgodoc.org/­github.com/­dgraph-io/­badgerdocs.couchdb.org/­en/­stabledocs.microsoft.com/­azure/­synapse-analytics
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoft
Initial release2019201720052016
Current release3.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlangC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nononono
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
GoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
Java
PHP
Server-side scripts infoStored proceduresnonoView functions in JavaScriptTransact SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoimproved architecture with release 2.0Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes
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.nono
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users can be defined per databaseyes

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More resources
Amazon DocumentDBBadgerCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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