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DBMS > EXASOL vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. RDF4J

System Properties Comparison EXASOL vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. RDF4J

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Multi-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSSearch engineRelational DBMSRDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#102  Overall
#52  Relational DBMS
Score0.11
Rank#316  Overall
#20  Search engines
Score22.46
Rank#36  Overall
#22  Relational DBMS
Score0.77
Rank#203  Overall
#9  RDF stores
Websitewww.exasol.commanticoresearch.comazure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationwww.exasol.com/­resourcesmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperExasolManticore SoftwareMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2000201720162004
Current release4.2, December 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
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.
Implementation languageC++C++Java
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesFixed schemayesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesInt, 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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsTransact SQLyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoyesno

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More resources
EXASOLManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as Sesame
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