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DBMS > Amazon DynamoDB vs. IBM Cloudant vs. Netezza vs. Sphinx

System Properties Comparison Amazon DynamoDB vs. IBM Cloudant vs. Netezza vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDatabase as a Service offering based on Apache CouchDBData warehouse and analytics appliance part of IBM PureSystemsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Document storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score2.68
Rank#106  Overall
#20  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­dynamodbwww.ibm.com/­products/­cloudantwww.ibm.com/­products/­netezzasphinxsearch.com
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.ibm.com/­docs/­Cloudantsphinxsearch.com/­docs
DeveloperAmazonIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMSphinx Technologies Inc.
Initial release2012201020002001
Current release3.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++
Server operating systemshostedhostedLinux infoincluded in applianceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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.no
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJDBC
ODBC
OLE DB
Proprietary protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptyesno
Triggersyes infoby integration with AWS Lambdayesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per databaseUsers with fine-grained authorization conceptno

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More resources
Amazon DynamoDBIBM CloudantNetezza infoAlso called PureData System for Analytics by IBMSphinx
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