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DBMS > Amazon DynamoDB vs. Apache IoTDB vs. Drizzle vs. MySQL vs. OrientDB

System Properties Comparison Amazon DynamoDB vs. Apache IoTDB vs. Drizzle vs. MySQL vs. OrientDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonMySQL  Xexclude from comparisonOrientDB  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 cloudAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Widely used open source RDBMSMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
Spatial 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
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websiteaws.amazon.com/­dynamodbiotdb.apache.orgwww.mysql.comorientdb.org
Technical documentationdocs.aws.amazon.com/­dynamodbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldev.mysql.com/­docwww.orientdb.com/­docs/­last/­index.html
DeveloperAmazonApache Software FoundationDrizzle project, originally started by Brian AkerOracle infosince 2010, originally MySQL AB, then SunOrientDB LTD; CallidusCloud; SAP
Initial release20122018200819952010
Current release1.1.0, April 20237.2.4, September 20128.4.0, April 20243.2.29, March 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++Java
Server operating systemshostedAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
FreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeschema-freeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.noyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsyes infowith proprietary extensionsSQL-like query language, no joins
APIs and other access methodsRESTful HTTP APIJDBC
Native API
JDBCADO.NET
JDBC
ODBC
Proprietary native API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoproprietary syntaxJava, Javascript
Triggersyes infoby integration with AWS Lambdayesno infohooks for callbacks inside the server can be used.yesHooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Integration with Hadoop and Sparknonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engineyes inforelationship in graphs
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 infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and roles; record level security configurable

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More resources
Amazon DynamoDBApache IoTDBDrizzleMySQLOrientDB
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