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DBMS > Apache Spark (SQL) vs. Badger vs. SWC-DB

System Properties Comparison Apache Spark (SQL) vs. Badger vs. SWC-DB

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonBadger  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.39
Rank#32  Overall
#20  Relational DBMS
Score0.24
Rank#300  Overall
#43  Key-value stores
Score0.01
Rank#382  Overall
#13  Wide column stores
Websitespark.apache.org/­sqlgithub.com/­dgraph-io/­badgergithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgodoc.org/­github.com/­dgraph-io/­badger
DeveloperApache Software FoundationDGraph LabsAlex Kashirin
Initial release201420172020
Current release3.5.0 ( 2.13), September 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGoC++
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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.nonono
Secondary indexesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesJava
Python
R
Scala
GoC++
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnono

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More resources
Apache Spark (SQL)BadgerSWC-DB infoSuper Wide Column Database
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