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DBMS > Manticore Search vs. Microsoft Azure Synapse Analytics vs. Netezza vs. RDFox vs. SAP Advantage Database Server

System Properties Comparison Manticore Search vs. Microsoft Azure Synapse Analytics vs. Netezza vs. RDFox vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDFox  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMulti-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystemsHigh performance knowledge graph and semantic reasoning engineLow-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelSearch engineRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitemanticoresearch.comazure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezzawww.oxfordsemantic.techwww.sap.com/products/advantage-database-server.html
Technical documentationmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.oxfordsemantic.tech
DeveloperManticore SoftwareMicrosoftIBMOxford Semantic TechnologiesSybase, SAP
Initial release20172016200020171993
Current release6.0, February 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinux infoincluded in applianceLinux
macOS
Windows
Linux
Windows
Data schemeFixed schemayesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyesyes
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 XMLnono
Secondary indexesyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesnoyes
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
C
Java
Delphi
Perl
PHP
Server-side scripts infoStored proceduresuser defined functionsTransact SQLyesyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyesSource-replica replicationreplication via a shared file systemMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDACIDACIDACID
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.yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno infocaching of (temporary) tables can be configured
User concepts infoAccess controlnoyesUsers with fine-grained authorization conceptRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
Manticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMRDFoxSAP Advantage Database Server infoformer name: Sybase ADS
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