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DBMS > BaseX vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. MySQL

System Properties Comparison BaseX vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. MySQL

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Multi-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used open source RDBMS
Primary database modelNative XML DBMSSearch engineRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Websitebasex.orgmanticoresearch.comazure.microsoft.com/­services/­synapse-analyticswww.mysql.com
Technical documentationdocs.basex.orgmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticsdev.mysql.com/­doc
DeveloperBaseX GmbHManticore SoftwareMicrosoftOracle infosince 2010, originally MySQL AB, then Sun
Initial release2007201720161995
Current release10.7, August 20236.0, February 20238.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGPL version 2commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaC++C++C and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.Can index from XMLnoyes
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsTransact SQLyes infoproprietary syntax
Triggersyes infovia eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioninghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writeryes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnoyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
BaseXManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMySQL
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