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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Apache Doris vs. Apache IoTDB vs. Drizzle vs. EsgynDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Apache Doris vs. Apache IoTDB vs. Drizzle vs. EsgynDB

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonApache Doris  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumAn MPP-based analytics DBMS embracing the MySQL protocolAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#231  Overall
#105  Relational DBMS
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqldoris.apache.org
github.com/­apache/­doris
iotdb.apache.orgwww.esgyn.cn
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewgithub.com/­apache/­doris/­wikiiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.html
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupApache Software Foundation, originally contributed from BaiduApache Software FoundationDrizzle project, originally started by Brian AkerEsgyn
Initial release20162017201820082015
Current release1.2.2, February 20231.1.0, April 20237.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++, Java
Server operating systemshostedLinuxAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like query languageyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
JDBC
MySQL client
JDBC
Native API
JDBCADO.NET
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
JavaC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesuser defined functionsyesnoJava Stored Procedures
Triggersyesnoyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioninghorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Multi-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBApache DorisApache IoTDBDrizzleEsgynDB
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