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DBMS > Hive vs. Manticore Search vs. Microsoft Azure SQL Database vs. RDFox

System Properties Comparison Hive vs. Manticore Search vs. Microsoft Azure SQL Database vs. RDFox

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRDFox  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMulti-storage database for search, including full-text search.Database as a Service offering with high compatibility to Microsoft SQL ServerHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSSearch engineRelational DBMSGraph DBMS
RDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitehive.apache.orgmanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oxfordsemantic.tech
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homemanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.oxfordsemantic.tech
DeveloperApache Software Foundation infoinitially developed by FacebookManticore SoftwareMicrosoftOxford Semantic Technologies
Initial release2012201720102017
Current release3.1.3, April 20226.0, February 2023V126.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2commercialcommercial
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 languageJavaC++C++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
hostedLinux
macOS
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.Can index from XMLyes
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC++
Java
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsTransact SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication based on Galera libraryyes, with always 3 replicas availablereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
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 rolesnofine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
HiveManticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureRDFox
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