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DBMS > FatDB vs. Linter vs. Manticore Search vs. Microsoft Azure Synapse Analytics

System Properties Comparison FatDB vs. Linter vs. Manticore Search vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonLinter  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.RDBMS for high security requirementsMulti-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitelinter.rumanticoresearch.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperFatCloudrelex.ruManticore SoftwareMicrosoft
Initial release2012199020172016
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++C++C++
Server operating systemsWindowsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
macOS
Windows
hosted
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesSQL-like query languageyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
Supported programming languagesC#C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresyes infovia applicationsyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functionsTransact SQL
Triggersyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSynchronous replication based on Galera libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardnoyes

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More resources
FatDBLinterManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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