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DBMS > Hive vs. Lovefield vs. StarRocks

System Properties Comparison Hive vs. Lovefield vs. StarRocks

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLovefield  Xexclude from comparisonStarRocks  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopEmbeddable relational database for web apps written in pure JavaScriptAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitehive.apache.orggoogle.github.io/­lovefieldwww.starrocks.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation infoinitially developed by FacebookGoogleThe Linux Foundation infosince Feb 2023
Initial release201220142020
Current release3.1.3, April 20222.1.12, February 20173.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++, Java
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
MySQL protocol
Supported programming languagesC++
Java
PHP
Python
JavaScriptJava
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functions
TriggersnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range and hash)
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 Consistency
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 persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users, groups and rolesnoRole based access control and fine grained access rights

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More resources
HiveLovefieldStarRocks
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