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DBMS > Amazon DynamoDB vs. DolphinDB vs. EsgynDB vs. Pinecone

System Properties Comparison Amazon DynamoDB vs. DolphinDB vs. EsgynDB vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonPinecone  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 TrafodionA managed, cloud-native vector database
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websiteaws.amazon.com/­dynamodbwww.dolphindb.comwww.esgyn.cnwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.dolphindb.cn/­en/­help200/­index.htmldocs.pinecone.io/­docs/­overview
DeveloperAmazonDolphinDB, IncEsgynPinecone Systems, Inc
Initial release2012201820152019
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java
Server operating systemshostedLinux
Windows
Linuxhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesno
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
RESTful HTTP API
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.NetPython
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)yesyesno
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 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.yesnono
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 DynamoDBDolphinDBEsgynDBPinecone
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Recent citations in the news

Introducing configurable maximum throughput for Amazon DynamoDB on-demand | Amazon Web Services
3 May 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

Bulk update Amazon DynamoDB tables with AWS Step Functions | Amazon Web Services
20 March 2024, AWS Blog

A new and improved AWS CDK construct for Amazon DynamoDB tables | Amazon Web Services
31 January 2024, AWS Blog

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Pinecone’s new serverless database may see few takers, analysts say
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Pinecone Unveils Serverless Vector Database for Enhanced AI Applications
16 January 2024, Datanami

Pinecone: New vector database architecture a 'breakthrough' to curb AI hallucinations
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