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DBMS > Manticore Search vs. MarkLogic vs. Microsoft Azure Table Storage vs. Oracle Rdb

System Properties Comparison Manticore Search vs. MarkLogic vs. Microsoft Azure Table Storage vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Operational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitemanticoresearch.comwww.marklogic.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationmanual.manticoresearch.comdocs.marklogic.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperManticore SoftwareMarkLogic Corp.MicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2017200120121984
Current release6.0, February 202311.0, December 20227.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoGPL version 2commercial inforestricted free version is availablecommercialcommercial
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++
Server operating systemsFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
hostedHP Open VMS
Data schemeFixed schemaschema-free infoSchema can be enforcedschema-freeFlexible 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 languageyes infoSQL92noyes
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingyes, on a single node
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.yes, with Range Indexesnono
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signatures

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More resources
Manticore SearchMarkLogicMicrosoft Azure Table StorageOracle Rdb
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