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DBMS > Apache Hive vs. StarRocks vs. YDB

System Properties Comparison Apache Hive vs. StarRocks vs. YDB

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonStarRocks  Xexclude from comparisonYDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score0.94
Rank#188  Overall
#86  Relational DBMS
Score0.63
Rank#228  Overall
#38  Document stores
#105  Relational DBMS
Websitehive.apache.orgwww.starrocks.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introydb.tech/­en/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookThe Linux Foundation infosince Feb 2023Yandex
Initial release201220202019
Current release3.1.3, April 20223.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemsAll OS with a Java VMLinuxLinux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
MySQL protocol
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
Java
PHP
Python
JavaGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-passive shard replication
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
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and rolesRole based access control and fine grained access rightsAccess rights defined for Yandex Cloud users

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More resources
Apache HiveStarRocksYDB
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