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DBMS > Drizzle vs. Hive vs. MarkLogic vs. Microsoft Azure AI Search

System Properties Comparison Drizzle vs. Hive vs. MarkLogic vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHive  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopOperational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Websitehive.apache.orgwww.progress.com/­marklogicazure.microsoft.com/­en-us/­services/­search
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.progress.com/­marklogic/­documentationlearn.microsoft.com/­en-us/­azure/­search
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookMarkLogic Corp.Microsoft
Initial release2008201220012015
Current release7.2.4, September 20123.1.3, April 202211.0, December 2022V1
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Windows
hosted
Data schemeyesyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infoSQL92no
APIs and other access methodsJDBCJDBC
ODBC
Thrift
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 languagesC
C++
Java
PHP
C++
Java
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes infovia XQuery or JavaScriptno
Triggersno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesRole-based access control at the document and subdocument levelsyes infousing Azure authentication

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More resources
DrizzleHiveMarkLogicMicrosoft Azure AI Search
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