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DBMS > Hive vs. Kdb vs. Microsoft Azure Synapse Analytics vs. Quasardb

System Properties Comparison Hive vs. Kdb vs. Microsoft Azure Synapse Analytics vs. Quasardb

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuasardb  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDistributed, high-performance timeseries database
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitehive.apache.orgkx.comazure.microsoft.com/­services/­synapse-analyticsquasar.ai
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homecode.kx.comdocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­master
DeveloperApache Software Foundation infoinitially developed by FacebookKx Systems, a division of First Derivatives plcMicrosoftquasardb
Initial release20122000 infokdb was released 2000, kdb+ in 200320162009
Current release3.1.3, April 20223.6, May 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree 32-bit versioncommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
hostedBSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.yesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)yesSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsTransact SQLno
Triggersnoyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding, horizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesrights management via user accountsyesCryptographically strong user authentication and audit trail
More information provided by the system vendor
HiveKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
HiveKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardb
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