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DBMS > Amazon DynamoDB vs. Netezza vs. RDF4J vs. Snowflake vs. Solr

System Properties Comparison Amazon DynamoDB vs. Netezza vs. RDF4J vs. Snowflake vs. Solr

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSnowflake  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudData warehouse and analytics appliance part of IBM PureSystemsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cloud-based data warehousing service for structured and semi-structured dataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Relational DBMSRDF storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­dynamodbwww.ibm.com/­products/­netezzardf4j.orgwww.snowflake.comsolr.apache.org
Technical documentationdocs.aws.amazon.com/­dynamodbrdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.htmlsolr.apache.org/­resources.html
DeveloperAmazonIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.Apache Software Foundation
Initial release20122000200420142006
Current release9.6.1, May 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinux infoincluded in applianceLinux
OS X
Unix
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.yesyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesnoyesSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
CLI Client
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
PHP
Python
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyesuser defined functionsJava plugins
Triggersyes infoby integration with AWS Lambdanoyesno infosimilar concept for controling cloud resourcesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
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 regionACIDACID infoIsolation support depends on the API usedACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptnoUsers with fine-grained authorization concept, user roles and pluggable authenticationyes

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More resources
Amazon DynamoDBNetezza infoAlso called PureData System for Analytics by IBMRDF4J infoformerly known as SesameSnowflakeSolr
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Use Amazon DynamoDB incremental exports to drive continuous data retention | Amazon Web Services
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28 November 2023, AWS Blog

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