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DBMS > Hive vs. Kdb vs. QuestDB vs. Spark SQL

System Properties Comparison Hive vs. Kdb vs. QuestDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKdb  Xexclude from comparisonQuestDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance Time Series DBMSA high performance open source SQL database for time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitehive.apache.orgkx.comquestdb.iospark.apache.org/­sql
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homecode.kx.comquestdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoinitially developed by FacebookKx Systems, a division of First Derivatives plcQuestDB Technology IncApache Software Foundation
Initial release20122000 infokdb was released 2000, kdb+ in 200320142014
Current release3.1.3, April 20223.6, May 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqJava (Zero-GC), C++, RustScala
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyesyes
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'nono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)SQL with time-series extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnono
Triggersnoyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning (by timestamps)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesno
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.yesyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights for users, groups and rolesrights management via user accountsno
More information provided by the system vendor
HiveKdbQuestDBSpark SQL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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