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DBMS > Databend vs. IBM Db2 warehouse vs. Spark SQL vs. SWC-DB

System Properties Comparison Databend vs. IBM Db2 warehouse vs. Spark SQL vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 complexityCloud-based data warehousing serviceSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.ibm.com/­products/­db2/­warehousespark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databend.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDatabend LabsIBMApache Software FoundationAlex Kashirin
Initial release2021201420142020
Current release1.0.59, April 20233.5.0 ( 2.13), September 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustScalaC++
Server operating systemshosted
Linux
macOS
hostedLinux
OS X
Windows
Linux
Data schemeyesyesyesschema-free
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.nono infoImport/export of XML data possiblenono
Secondary indexesnoyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
C++
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
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.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardno

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More resources
DatabendIBM Db2 warehouse infoformerly named IBM dashDBSpark SQLSWC-DB infoSuper Wide Column Database
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