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DBMS > Amazon DynamoDB vs. DolphinDB vs. EsgynDB

System Properties Comparison Amazon DynamoDB vs. DolphinDB vs. EsgynDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonEsgynDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score0.26
Rank#311  Overall
#141  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.dolphindb.comwww.esgyn.cn
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperAmazonDolphinDB, IncEsgyn
Initial release201220182015
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infofree community version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java
Server operating systemshostedLinux
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesJava Stored Procedures
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyes
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 integritynonoyes
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 regionyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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)Administrators, Users, Groupsfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBDolphinDBEsgynDB
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