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DBMS > Amazon CloudSearch vs. Informix

System Properties Comparison Amazon CloudSearch vs. Informix

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Our visitors often compare Amazon CloudSearch and Informix with MongoDB, Microsoft SQL Server and MySQL.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonInformix  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA secure embeddable database from IBM, positioned besides DB2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelSearch engineRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database modelsDocument store
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.50
Rank#97  Overall
#10  Search engines
Score25.40
Rank#27  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.ibm.com/­analytics/­informix
Technical documentationdocs.aws.amazon.com/­cloudsearchinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperAmazonIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release20121984
Current release14.10, March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and Java
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypes
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnoyes
APIs and other access methodsHTTP APIJSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authentication, authorization, and auditing controls

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More resources
Amazon CloudSearchInformix
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Conferences and events

IIUG Informix Conference 2019
Los Angeles, California, USA, 22-26 September 2019

Recent citations in the news

Know Key Area of Enterprise Semantic Search Software Market B y Top Key Players SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
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