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DBMS > Databend vs. Hive vs. Quasardb vs. Transwarp KunDB

System Properties Comparison Databend vs. Hive vs. Quasardb vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitydata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
hive.apache.orgquasar.aiwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.databend.comcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­master
DeveloperDatabend LabsApache Software Foundation infoinitially developed by FacebookquasardbTranswarp
Initial release202120122009
Current release1.0.59, April 20233.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageRustJavaC++
Server operating systemshosted
Linux
macOS
All OS with a Java VMBSD
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailyes

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More resources
DatabendHiveQuasardbTranswarp KunDB
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