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DBMS > Amazon DocumentDB vs. GBase vs. ReductStore

System Properties Comparison Amazon DocumentDB vs. GBase vs. ReductStore

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGBase  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#124  Overall
#22  Document stores
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score0.00
Rank#388  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.gbase.cngithub.com/­reductstore
www.reduct.store
Technical documentationaws.amazon.com/­documentdb/­resourceswww.reduct.store/­docs
DeveloperGeneral Data Technology Co., Ltd.ReductStore LLC
Initial release201920042023
Current releaseGBase 8a, GBase 8s, GBase 8c1.9, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++, Rust
Server operating systemshostedLinuxDocker
Linux
macOS
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLnoStandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C API
JDBC
ODBC
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users and rolesyes

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More resources
Amazon DocumentDBGBaseReductStore
Recent citations in the news

Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service is now available
16 May 2024, AWS Blog

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0
15 April 2024, AWS Blog

Update your Amazon DocumentDB TLS certificates: Expiring in 2024
28 March 2024, AWS Blog

Unlock the power of Amazon DocumentDB text search with real-world use cases
5 March 2024, AWS Blog

provided by Google News



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