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DBMS > Amazon DocumentDB vs. BigObject vs. EJDB vs. Greenplum vs. Microsoft Azure SQL Database

System Properties Comparison Amazon DocumentDB vs. BigObject vs. EJDB vs. Greenplum vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigObject  Xexclude from comparisonEJDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for real-time computations and queriesEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument storeRelational DBMS infoa hierachical model (tree) can be imposedDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­documentdbbigobject.iogithub.com/­Softmotions/­ejdbgreenplum.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bigobject.iogithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.greenplum.orgdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperBigObject, Inc.SoftmotionsPivotal Software Inc.Microsoft
Initial release20192015201220052010
Current release7.0.0, September 2023V12
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoGPLv2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
server-lessLinuxhosted
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyesyes
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.nonoyes infosince Version 4.2yes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)fluentd
ODBC
RESTful HTTP API
in-process shared libraryJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Perl
Python
R
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuanoyesTransact SQL
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenoneSource-replica replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoautomatically between fact table and dimension tablesno infotypically not needed, however similar functionality with collection joins possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes infoRead/Write Lockingyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBBigObjectEJDBGreenplumMicrosoft Azure SQL Database infoformerly SQL Azure
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