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DBMS > Amazon DynamoDB vs. Cubrid vs. DolphinDB vs. jBASE vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. Cubrid vs. DolphinDB vs. jBASE vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCubrid  Xexclude from comparisonDolphinDB  Xexclude from comparisonjBASE  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDolphinDB 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.A robust multi-value DBMS comprising development tools and middlewareCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSMultivalue DBMSRelational DBMS
Secondary database modelsRelational 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
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­dynamodbcubrid.com (korean)
cubrid.org (english)
www.dolphindb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbcubrid.org/­manualsdocs.dolphindb.cn/­en/­help200/­index.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.snowflake.net/­manuals/­index.html
DeveloperAmazonCUBRID Corporation, CUBRID FoundationDolphinDB, IncRocket Software (formerly Zumasys)Snowflake Computing Inc.
Initial release20122008201819912014
Current release11.0, January 2021v2.00.4, January 20225.7
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0commercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++
Server operating systemshostedLinux
Windows
Linux
Windows
AIX
Linux
Windows
hosted
Data schemeschema-freeyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.nonoyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageEmbedded SQL for jBASE in BASICyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
CLI Client
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Basic
Jabbascript
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyesuser defined functions
Triggersyes infoby integration with AWS Lambdayesnoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
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 integritynoyesnonoyes
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 regionACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesno
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-standardAdministrators, Users, GroupsAccess rights can be defined down to the item levelUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DynamoDBCubridDolphinDBjBASESnowflake
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