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DBMS > Alibaba Cloud MaxCompute vs. HugeGraph vs. Manticore Search vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison Alibaba Cloud MaxCompute vs. HugeGraph vs. Manticore Search vs. Microsoft Azure AI Search vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonHugeGraph  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  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 fast-speed and highly-scalable Graph DBMSMulti-storage database for search, including full-text search.Search-as-a-service for web and mobile app developmentOpen 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 tablesGraph DBMSSearch engineSearch engineSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­hugegraph
hugegraph.apache.org
manticoresearch.comazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputehugegraph.apache.org/­docsmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperAlibabaBaiduManticore SoftwareMicrosoftSphinx Technologies Inc.
Initial release20162018201720152001
Current release0.96.0, February 2023V13.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedLinux
macOS
Unix
FreeBSD
Linux
macOS
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesno
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.nonoCan index from XMLno
Secondary indexesnoyes infoalso supports composite index and range indexyes infofull-text index on all search fieldsyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
Java API
RESTful HTTP API
TinkerPop Gremlin
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIProprietary protocol
Supported programming languagesJavaGroovy
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin Javaasynchronous Gremlin script jobsuser defined functionsnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding 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 infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes 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.noyesno
User concepts infoAccess controlAccess rights for users and rolesUsers, roles and permissionsnoyes infousing Azure authenticationno

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More resources
Alibaba Cloud MaxComputeHugeGraphManticore SearchMicrosoft Azure AI SearchSphinx
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