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DBMS > Apache Hive vs. Dolt vs. OpenSearch

System Properties Comparison Apache Hive vs. Dolt vs. OpenSearch

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonDolt  Xexclude from comparisonOpenSearch  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA MySQL compatible DBMS with Git-like versioning of data and schemaA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSSearch engine
Vector DBMS
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score0.60
Rank#232  Overall
#106  Relational DBMS
Score17.38
Rank#32  Overall
#4  Search engines
#2  Vector DBMS
Websitehive.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­opensearch-project
opensearch.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.dolthub.comopensearch.org/­docs/­latest
DeveloperApache Software Foundation infoinitially developed by FacebookDoltHub IncThe OpenSearch Software Foundation
Initial release201220182021
Current release3.1.3, April 20222.19, February 2025
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaGoJava
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
All OS with a Java VM
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
CLI Client
HTTP REST
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infocurrently in alpha releaseyes
Triggersnoyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesOnly one user is configurable, and must be specified in the config file at startup

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More resources
Apache HiveDoltOpenSearch
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