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DBMS > Badger vs. Spark SQL vs. STSdb vs. SwayDB

System Properties Comparison Badger vs. Spark SQL vs. STSdb vs. SwayDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeRelational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitegithub.com/­dgraph-io/­badgerspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4swaydb.simer.au
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsApache Software FoundationSTS Soft SCSimer Plaha
Initial release2017201420112018
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC#Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyes infoprimitive types and user defined types (classes)no
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 indexesnononono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
.NET Client API
Supported programming languagesGoJava
Python
R
Scala
C#
Java
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoAtomic execution of operations
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.nonoyes
User concepts infoAccess controlnononono

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More resources
BadgerSpark SQLSTSdbSwayDB
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