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DBMS > EXASOL vs. Quasardb vs. Transwarp KunDB

System Properties Comparison EXASOL vs. Quasardb vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonQuasardb  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed, high-performance timeseries databaseOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.14
Rank#340  Overall
#148  Relational DBMS
Websitewww.exasol.comquasar.aiwww.transwarp.cn/­en/­product/­kundb
Technical documentationwww.exasol.com/­resourcesdoc.quasar.ai/­master
DeveloperExasolquasardbTranswarp
Initial release20002009
Current release3.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsBSD
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes 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 indexesyesyes infowith tagsyes
SQL infoSupport of SQLyesSQL-like query languageyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP API
Supported programming languagesJava
Lua
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
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 roles according to SQL-standardCryptographically strong user authentication and audit trailyes

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More resources
EXASOLQuasardbTranswarp KunDB
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