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DBMS > Hive vs. Rockset vs. Spark SQL vs. Trafodion

System Properties Comparison Hive vs. Rockset vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score1.01
Rank#201  Overall
#35  Document stores
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitehive.apache.orgrockset.comspark.apache.org/­sqltrafodion.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoinitially developed by FacebookRocksetApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2012201920142014
Current release3.1.3, April 20223.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaC++, Java
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesdynamic typingyesyes
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 infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsRead-only SQL queries, including JOINsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
HTTP RESTJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and organizations can be defined via Rockset consolenofine grained access rights according to SQL-standard

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More resources
HiveRocksetSpark SQLTrafodion
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