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DBMS > Amazon DynamoDB vs. Drizzle vs. Realm vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. Drizzle vs. Realm vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDrizzle  Xexclude from comparisonRealm  Xexclude from comparisonSnowflake  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score7.18
Rank#52  Overall
#8  Document stores
Score133.72
Rank#7  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­dynamodbrealm.iowww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbrealm.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonDrizzle project, originally started by Brian AkerRealm, acquired by MongoDB in May 2019Snowflake Computing Inc.
Initial release2012200820142014
Current release7.2.4, September 2012
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoGNU GPLOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedFreeBSD
Linux
OS X
Android
Backend: server-less
iOS
Windows
hosted
Data schemeschema-freeyesyesyes 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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes
APIs and other access methodsRESTful HTTP APIJDBCCLI Client
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Java
PHP
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryuser defined functions
Triggersyes infoby integration with AWS Lambdano infohooks for callbacks inside the server can be used.yes infoChange Listenersno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
noneyes
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 Consistency
Foreign keys infoReferential integritynoyesnoyes
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 datayesyesyes
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.yes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Pluggable authentication mechanisms infoe.g. LDAP, HTTPyesUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DynamoDBDrizzleRealmSnowflake
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