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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Alibaba Cloud MaxCompute vs. Apache Druid vs. Graph Engine

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Alibaba Cloud MaxCompute vs. Apache Druid vs. Graph Engine

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelRelational DBMSRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMS
Time Series DBMS
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#231  Overall
#105  Relational DBMS
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlwww.alibabacloud.com/­product/­maxcomputedruid.apache.orgwww.graphengine.io
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designwww.graphengine.io/­docs/­manual
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupAlibabaApache Software Foundation and contributorsMicrosoft
Initial release2016201620122010
Current release29.0.1, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license v2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and C
Server operating systemshostedhostedLinux
OS X
Unix
.NET
Data schemeyesyesyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageSQL for queryingno
APIs and other access methodsJDBC
ODBC
Fluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
JavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functions infoin Javanoyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBAlibaba Cloud MaxComputeApache DruidGraph Engine infoformer name: Trinity
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