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DBMS > EXASOL vs. IBM Db2 warehouse vs. Manticore Search vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison EXASOL vs. IBM Db2 warehouse vs. Manticore Search vs. Microsoft Azure Table Storage vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-based data warehousing serviceMulti-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSSearch engineWide column storeRDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.exasol.comwww.ibm.com/­products/­db2/­warehousemanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationwww.exasol.com/­resourcesmanual.manticoresearch.comrdf4j.org/­documentation
DeveloperExasolIBMManticore SoftwareMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20002014201720122004
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedFreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesyesFixed schemaschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesInt, 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.nono infoImport/export of XML data possibleCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLyesyesSQL-like query languagenono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
.NET Client API
JDBC
ODBC
OLE DB
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsPL/SQL, SQL PLuser defined functionsnoyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesno

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More resources
EXASOLIBM Db2 warehouse infoformerly named IBM dashDBManticore SearchMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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