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DBMS > Amazon DocumentDB vs. Hive vs. IBM Cloudant vs. Ignite vs. Valentina Server

System Properties Comparison Amazon DocumentDB vs. Hive vs. IBM Cloudant vs. Ignite vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIgnite  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database servicedata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering based on Apache CouchDBApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Object-relational database and reports server
Primary database modelDocument storeRelational DBMSDocument storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­documentdbhive.apache.orgwww.ibm.com/­products/­cloudantignite.apache.orgwww.valentina-db.net
Technical documentationaws.amazon.com/­documentdb/­resourcescwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudantapacheignite.readme.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationParadigma Software
Initial release20192012201020151999
Current release3.1.3, April 2022Apache Ignite 2.65.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial
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 languageJavaErlangC++, Java, .Net
Server operating systemshostedAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Thrift
RESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScriptyes (compute grid and cache interceptors can be used instead)yes
Triggersnonoyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorMulti-source replication
Source-replica replication
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReduceyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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.noyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesAccess rights for users can be defined per databaseSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBHiveIBM CloudantIgniteValentina Server
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