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DBMS > Hive vs. Microsoft Azure Synapse Analytics vs. Spark SQL vs. Trafodion vs. VelocityDB

System Properties Comparison Hive vs. Microsoft Azure Synapse Analytics vs. Spark SQL vs. Trafodion vs. VelocityDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparisonVelocityDB  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 HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehive.apache.orgazure.microsoft.com/­services/­synapse-analyticsspark.apache.org/­sqltrafodion.apache.orgvelocitydb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.htmlvelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftApache Software FoundationApache Software Foundation, originally developed by HPVelocityDB Inc
Initial release20122016201420142011
Current release3.1.3, April 20223.5.0 ( 2.13), September 20232.3.0, February 20197.x
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaC++, JavaC#
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
LinuxAny that supports .NET
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
.Net
Supported programming languagesC++
Java
PHP
Python
C#
Java
PHP
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQLnoJava Stored Proceduresno
TriggersnonononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes, utilizing Spark CoreShardingSharding
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 HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesyesnofine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
HiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpark SQLTrafodionVelocityDB
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