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

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

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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 comparisonTeradata  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 ServerA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series 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
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitehive.apache.orgmanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.teradata.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homemanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.teradata.com
DeveloperApache Software Foundation infoinitially developed by FacebookManticore SoftwareMicrosoftTeradata
Initial release2012201720101984
Current release3.1.3, April 20226.0, February 2023V12Teradata Vantage 1.0 MU2, January 2019
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++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
hostedhosted
Linux
Data schemeyesFixed schemayesyes
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 XMLyesyes
Secondary indexesyesyes infofull-text index on all search fieldsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsTransact SQLyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication based on Galera libraryyes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
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 datayesyesyesyes
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-standardfine grained access rights according to SQL-standard

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More resources
HiveManticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureTeradata
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