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DBMS > Hive vs. StarRocks vs. WakandaDB

System Properties Comparison Hive vs. StarRocks vs. WakandaDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonStarRocks  Xexclude from comparisonWakandaDB  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 DorisWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score1.12
Rank#182  Overall
#82  Relational DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitehive.apache.orgwww.starrocks.iowakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introwakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookThe Linux Foundation infosince Feb 2023Wakanda SAS
Initial release201220202012
Current release3.1.3, April 20222.5.3, March 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoAGPLv3, extended 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++, JavaC++, JavaScript
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyesyesyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
MySQL protocol
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
JavaJavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
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 integritynono
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 rightsyes

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More resources
HiveStarRocksWakandaDB
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