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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Databend vs. DataFS

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Databend vs. DataFS

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonDatabend  Xexclude from comparisonDataFS  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#220  Overall
#102  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlgithub.com/­datafuselabs/­databend
www.databend.com
newdatabase.com
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewdocs.databend.comdev.mobiland.com/­Overview.xsp
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupDatabend LabsMobiland AG
Initial release201620212018
Current release1.0.59, April 20231.1.263, October 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemshostedhosted
Linux
macOS
Windows
Data schemeyesyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesnono
SQL infoSupport of SQLyesyesno
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
Supported programming languagesC
Java
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
VB.Net
Server-side scripts infoStored proceduresyesno
Triggersyesnono, except callback-events from server when changes happened
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneProprietary Sharding system
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
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 controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesWindows-Profile

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Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBDatabendDataFS
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