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DBMS > Amazon DynamoDB vs. FileMaker vs. Netezza vs. OpenMLDB vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. FileMaker vs. Netezza vs. OpenMLDB vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFileMaker  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFileMaker is a cross-platform RDBMS that includes a GUI frontend.Data warehouse and analytics appliance part of IBM PureSystemsAn open-source machine learning database that provides a feature platform for training and inferenceCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational 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
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.claris.com/­filemakerwww.ibm.com/­products/­netezzaopenmldb.aiwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.claris.com/­resources/­documentationopenmldb.ai/­docs/­zh/­maindocs.snowflake.net/­manuals/­index.html
DeveloperAmazonClaris infoa subsidiary of AppleIBM4 Paradigm Inc.Snowflake Computing Inc.
Initial release20121983200020202014
Current release19.4.1, November 20212024-2 February 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, Scala
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Linux infoincluded in applianceLinuxhosted
Data schemeschema-freeyesyesFixed schemayes 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.yes infoA http query request can return the data in XML formatnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infovia pluginsyesyesyes
APIs and other access methodsRESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
OLE DB
JDBC
SQLAlchemy
CLI Client
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
PHPC
C++
Fortran
Java
Lua
Perl
Python
R
C++
Go
Java
Python
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyesnouser defined functions
Triggersyes infoby integration with AWS Lambdayesnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14Source-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
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 regionnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple rights management via user accounts and connection to external directory servicesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DynamoDBFileMakerNetezza infoAlso called PureData System for Analytics by IBMOpenMLDBSnowflake
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