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DBMS > Amazon DynamoDB vs. GBase vs. Google Cloud Bigtable vs. PostGIS

System Properties Comparison Amazon DynamoDB vs. GBase vs. Google Cloud Bigtable vs. PostGIS

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of PostgreSQL
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Wide column store
Spatial 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
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteaws.amazon.com/­dynamodbwww.gbase.cncloud.google.com/­bigtablepostgis.net
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.google.com/­bigtable/­docspostgis.net/­documentation
DeveloperAmazonGeneral Data Technology Co., Ltd.Google
Initial release2012200420152005
Current releaseGBase 8a, GBase 8s, GBase 8c3.4.2, February 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC
Server operating systemshostedLinuxhosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoStandard with numerous extensionsnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
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)
Python
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersyes infoby integration with AWS Lambdayesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
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)Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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 operationsACID
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on PostgreSQL

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More resources
Amazon DynamoDBGBaseGoogle Cloud BigtablePostGIS
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Recent citations in the news

Uber Migrates 1 Trillion Records from DynamoDB to LedgerStore to Save $6 Million Annually
19 May 2024, InfoQ.com

Freecharge lowered their identity management system cost and improved scaling by switching to Amazon DynamoDB ...
20 May 2024, AWS Blog

Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB | Amazon Web Services
16 May 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs
29 December 2023, InfoQ.com

provided by Google News

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
6 May 2015, VentureBeat

Google Launches Cloud Bigtable, A Highly Scalable And Performant NoSQL Database
6 May 2015, TechCrunch

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