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DBMS > Blueflood vs. DataFS vs. Spark SQL vs. SwayDB

System Properties Comparison Blueflood vs. DataFS vs. Spark SQL vs. SwayDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDataFS  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Spark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelTime Series DBMSObject oriented DBMSRelational DBMSKey-value store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteblueflood.ionewdatabase.comspark.apache.org/­sqlswaydb.simer.au
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidev.mobiland.com/­Overview.xspspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceMobiland AGApache Software FoundationSimer Plaha
Initial release2013201820142018
Current release1.1.263, October 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open 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 languageJavaScalaScala
Server operating systemsLinux
OS X
WindowsLinux
OS X
Windows
Data schemepredefined schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesnononono
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP REST.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonono
Triggersnono, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraProprietary Sharding systemyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic 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.nononoyes
User concepts infoAccess controlnoWindows-Profilenono

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More resources
BluefloodDataFSSpark SQLSwayDB
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