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DBMS > Amazon DynamoDB vs. ArcadeDB vs. Linter vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. ArcadeDB vs. Linter vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonArcadeDB  Xexclude from comparisonLinter  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenRDBMS for high security requirementsCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSRelational DBMS
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
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­dynamodbarcadedb.comlinter.ruwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.arcadedb.comdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonArcade Datarelex.ruSnowflake Computing Inc.
Initial release2012202119902014
Current releaseSeptember 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemshostedAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
Data schemeschema-freeschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like query language, no joinsyesyes
APIs and other access methodsRESTful HTTP APIJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
CLI Client
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
JavaC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functions
Triggersyes infoby integration with AWS Lambdayesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsyesyes
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 regionACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DynamoDBArcadeDBLinterSnowflake
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Recent citations in the news

Use Amazon DynamoDB incremental exports to drive continuous data retention
12 June 2024, AWS Blog

AWS announces Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service
28 November 2023, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

Simplify private connectivity to Amazon DynamoDB with AWS PrivateLink | Amazon Web Services
19 March 2024, AWS Blog

Introducing configurable maximum throughput for Amazon DynamoDB on-demand | Amazon Web Services
3 May 2024, AWS Blog

provided by Google News

Lessons from the Snowflake Breaches
12 June 2024, The Hacker News

Truist Bank says breach of customer data is unrelated to Snowflake
14 June 2024, SC Media

Mandiant Report: Snowflake Users Targeted for Data Theft and Extortion
12 June 2024, TechRepublic

The Snowflake Attack May Be Turning Into One of the Largest Data Breaches Ever
6 June 2024, WIRED

Hackers steal “significant volume” of data from hundreds of Snowflake customers
10 June 2024, Ars Technica

provided by Google News



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