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DBMS > Amazon DynamoDB vs. IBM Db2 Event Store vs. Netezza vs. RDF4J vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. IBM Db2 Event Store vs. Netezza vs. RDF4J vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDistributed Event Store optimized for Internet of Things use casesData 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 data
Primary database modelDocument store
Key-value store
Event Store
Time Series DBMS
Relational DBMSRDF storeRelational 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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­netezzardf4j.orgwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.ibm.com/­docs/­en/­db2-event-storerdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonIBMIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.
Initial release20122017200020042014
Current release2.0
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infofree developer edition availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux infoincluded in applianceLinux
OS X
Unix
Windows
hosted
Data schemeschema-freeyesyesyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
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
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyesyesuser defined functions
Triggersyes infoby integration with AWS Lambdanonoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
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 regionnoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DynamoDBIBM Db2 Event StoreNetezza infoAlso called PureData System for Analytics by IBMRDF4J infoformerly known as SesameSnowflake
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