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DBMS > Amazon DynamoDB vs. Cubrid vs. Google Cloud Bigtable

System Properties Comparison Amazon DynamoDB vs. Cubrid vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle Cloud Bigtable  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 OLTPGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.88
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score1.02
Rank#173  Overall
#84  Relational DBMS
Score4.44
Rank#86  Overall
#14  Key-value stores
#6  Wide column stores
Websiteaws.amazon.com/­dynamodbcubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigtable
Technical documentationdocs.aws.amazon.com/­dynamodbcubrid.org/­manualscloud.google.com/­bigtable/­docs
DeveloperAmazonCUBRID Corporation, CUBRID FoundationGoogle
Initial release201220082015
Current release11.0, January 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Java
Server operating systemshostedLinux
Windows
hosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
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 (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresno
Triggersyes infoby integration with AWS Lambdayesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesno
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 regionACIDAtomic single-row operations
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.nono
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-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon DynamoDBCubridGoogle Cloud Bigtable
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