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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Datomic vs. Faircom EDGE vs. Microsoft Azure SQL Database

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Datomic vs. Faircom EDGE vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonDatomic  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#213  Overall
#101  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlwww.datomic.comwww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewdocs.datomic.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupCognitectFairCom CorporationMicrosoft
Initial release2016201219792010
Current release1.0.7180, July 2024V3, October 2020V12
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureANSI C, C++C++
Server operating systemshostedAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
hosted
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.yesnoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infoANSI SQL queriesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
Clojure
Java
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyes info.Net, JavaScript, C/C++Transact SQL
TriggersyesBy using transaction functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersyes infoSynchronous and asynchronous realtime replication based on transaction logsyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standard

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBDatomicFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure SQL Database infoformerly SQL Azure
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