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DBMS > Apache Hive vs. Apache Spark (SQL) vs. SvectorDB

System Properties Comparison Apache Hive vs. Apache Spark (SQL) vs. SvectorDB

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NameApache Hive  Xexclude from comparisonApache Spark (SQL)  Xexclude from comparisonSvectorDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopApache Spark SQL is a component on top of 'Spark Core' for structured data processingServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.65
Rank#18  Overall
#12  Relational DBMS
Score20.40
Rank#29  Overall
#18  Relational DBMS
Score0.00
Rank#382  Overall
#21  Vector DBMS
Websitehive.apache.orgspark.apache.org/­sqlsvectordb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.svectordb.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software FoundationSvectorDB
Initial release201220142023
Current release3.1.3, April 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
server-less
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesstring, double, vector
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languagesC++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
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 MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.no
User concepts infoAccess controlAccess rights for users, groups and rolesno

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More resources
Apache HiveApache Spark (SQL)SvectorDB
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