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DBMS > Manticore Search vs. Microsoft Azure SQL Database vs. Spark SQL vs. YDB

System Properties Comparison Manticore Search vs. Microsoft Azure SQL Database vs. Spark SQL vs. YDB

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Database as a Service offering with high compatibility to Microsoft SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelSearch engineRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitemanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasespark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sqlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperManticore SoftwareMicrosoftApache Software FoundationYandex
Initial release2017201020142019
Current release6.0, February 2023V123.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Scala
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Linux
Data schemeFixed schemayesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes
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 XMLyesnono
Secondary indexesyes infofull-text index on all search fieldsyesnoyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsTransact SQLnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes, with always 3 replicas availablenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights defined for Yandex Cloud users

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More resources
Manticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureSpark SQLYDB
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