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DBMS > Firebolt vs. Spark SQL vs. Transwarp KunDB

System Properties Comparison Firebolt vs. Spark SQL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseSpark SQL is a component on top of 'Spark Core' for structured data processingOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#128  Overall
#62  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.14
Rank#340  Overall
#148  Relational DBMS
Websitewww.firebolt.iospark.apache.org/­sqlwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.firebolt.iospark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFirebolt Analytics Inc.Apache Software FoundationTranswarp
Initial release20202014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemshostedLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesGo
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyes

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More resources
FireboltSpark SQLTranswarp KunDB
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