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DBMS > Alibaba Cloud MaxCompute vs. Alibaba Cloud Table Store vs. Citus vs. Microsoft Azure Table Storage vs. Sphinx

System Properties Comparison Alibaba Cloud MaxCompute vs. Alibaba Cloud Table Store vs. Citus vs. Microsoft Azure Table Storage vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAlibaba Cloud Table Store  Xexclude from comparisonCitus  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA Wide Column Store for rapid development using massive semi-structured datasetsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesWide column storeRelational DBMSWide column storeSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score0.31
Rank#297  Overall
#11  Wide column stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­maxcomputewww.alibabacloud.com/­product/­table-storewww.citusdata.comazure.microsoft.com/­en-us/­services/­storage/­tablessphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.alibabacloud.com/­help/­en/­tablestoredocs.citusdata.comsphinxsearch.com/­docs
DeveloperAlibabaAlibabaMicrosoftSphinx Technologies Inc.
Initial release20162016201020122001
Current release8.1, December 20183.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedhostedLinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnonoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoyes infostandard, with numerous extensionsnoSQL-like query language (SphinxQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIProprietary protocol
Supported programming languagesJavaJava
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensionsyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users and rolesAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesno

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More resources
Alibaba Cloud MaxComputeAlibaba Cloud Table StoreCitusMicrosoft Azure Table StorageSphinx
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