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DBMS > Amazon DocumentDB vs. Graph Engine vs. HarperDB vs. IBM Cloudant vs. JaguarDB

System Properties Comparison Amazon DocumentDB vs. Graph Engine vs. HarperDB vs. IBM Cloudant vs. JaguarDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Database as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelDocument storeGraph DBMS
Key-value store
Document storeDocument storeKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.55
Rank#248  Overall
#38  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websiteaws.amazon.com/­documentdbwww.graphengine.iowww.harperdb.iowww.ibm.com/­products/­cloudantwww.jaguardb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.graphengine.io/­docs/­manualdocs.harperdb.io/­docscloud.ibm.com/­docs/­Cloudantwww.jaguardb.com/­support.html
DeveloperMicrosoftHarperDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.
Initial release20192010201720102015
Current release3.1, August 20213.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infofree community edition availablecommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CNode.jsErlangC++ infothe server part. Clients available in other languages
Server operating systemshosted.NETLinux
OS X
hostedLinux
Data schemeschema-freeyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesnoyes
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like data manipulation statementsnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
F#
Visual Basic
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesCustom Functions infosince release 3.1View functions (Map-Reduce) in JavaScriptno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
Multi-source replication
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 ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoAtomic execution of specific operationsno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesAccess rights for users can be defined per databaserights management via user accounts

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More resources
Amazon DocumentDBGraph Engine infoformer name: TrinityHarperDBIBM CloudantJaguarDB
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