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DBMS > Badger vs. Blueflood vs. Spark SQL

System Properties Comparison Badger vs. Blueflood vs. Spark SQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBlueflood  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable TimeSeries DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerblueflood.iospark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­rax-maas/­blueflood/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsRackspaceApache Software Foundation
Initial release201720132014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeschema-freepredefined schemeyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnonono
SQL infoSupport of SQLnonoSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJDBC
ODBC
Supported programming languagesGoJava
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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 controlnonono

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More resources
BadgerBluefloodSpark SQL
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