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DBMS > Alibaba Cloud MaxCompute vs. Apache IoTDB vs. Databend vs. EsgynDB vs. Postgres-XL

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache IoTDB vs. Databend vs. EsgynDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDatabend  Xexclude from comparisonEsgynDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeiotdb.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
www.esgyn.cnwww.postgres-xl.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databend.comwww.postgres-xl.org/­documentation
DeveloperAlibabaApache Software FoundationDatabend LabsEsgyn
Initial release20162018202120152014 infosince 2012, originally named StormDB
Current release1.1.0, April 20231.0.59, April 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++, JavaC
Server operating systemshostedAll OS with a Java VM (>= 1.8)hosted
Linux
macOS
LinuxLinux
macOS
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesyesyes infodistributed, parallel query execution
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
Native API
CLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaC
C#
C++
Go
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavayesnoJava Stored Proceduresuser defined functions
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneMulti-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACIDACID infoMVCC
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.noyesnono
User concepts infoAccess controlAccess rights for users and rolesyesUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud MaxComputeApache IoTDBDatabendEsgynDBPostgres-XL
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