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DBMS > Amazon DocumentDB vs. Greenplum vs. InterSystems Caché vs. LMDB vs. Microsoft SQL Server

System Properties Comparison Amazon DocumentDB vs. Greenplum vs. InterSystems Caché vs. LMDB vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGreenplum  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic 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.A multi-model DBMS and application serverA high performant, light-weight, embedded key-value database libraryMicrosofts flagship relational DBMS
Primary database modelDocument storeRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websiteaws.amazon.com/­documentdbgreenplum.orgwww.intersystems.com/­products/­cachewww.symas.com/­symas-embedded-database-lmdbwww.microsoft.com/­en-us/­sql-server
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.greenplum.orgdocs.intersystems.comwww.lmdb.tech/­doclearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperPivotal Software Inc.InterSystemsSymasMicrosoft
Initial release20192005199720111989
Current release7.0.0, September 20232018.1.4, May 20200.9.32, January 2024SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Sourcecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Unix
Windows
Linux
Windows
Data schemeschema-freeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosince Version 4.2yesnoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesyesnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
Java
Perl
Python
R
C#
C++
Java
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyesyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationSource-replica replicationnoneyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
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 possibleyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
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.noyesyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBGreenplumInterSystems CachéLMDBMicrosoft SQL Server
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