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DBMS > DataFS vs. Netezza vs. Spark SQL vs. SQream DB vs. STSdb

System Properties Comparison DataFS vs. Netezza vs. Spark SQL vs. SQream DB vs. STSdb

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAll 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.Data warehouse and analytics appliance part of IBM PureSystemsSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloadsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitenewdatabase.comwww.ibm.com/­products/­netezzaspark.apache.org/­sqlsqream.comgithub.com/­STSSoft/­STSdb4
Technical documentationdev.mobiland.com/­Overview.xspspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.com
DeveloperMobiland AGIBMApache Software FoundationSQream TechnologiesSTS Soft SC
Initial release20182000201420172011
Current release1.1.263, October 20223.5.0 ( 2.13), September 20232022.1.6, December 20224.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++, CUDA, Haskell, Java, ScalaC#
Server operating systemsWindowsLinux infoincluded in applianceLinux
OS X
Windows
LinuxWindows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes infoprimitive types and user defined types (classes)
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
Secondary indexesnoyesnonono
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyesno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
OLE DB
JDBC
ODBC
.Net
JDBC
ODBC
.NET Client API
Supported programming languages.Net
C
C#
C++
VB.Net
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresyesnouser defined functions in Pythonno
Triggersno, except callback-events from server when changes happenednononono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingyes, utilizing Spark Corehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlWindows-ProfileUsers with fine-grained authorization conceptnono

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More resources
DataFSNetezza infoAlso called PureData System for Analytics by IBMSpark SQLSQream DBSTSdb
Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

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Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
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IBM Brings Back a Netezza, Attacks Yellowbrick
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SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku
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I SQream, you SQream, we all SQream for … data analytics?
5 October 2023, Fierce Network

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

SQream Announces Free Licenses to Organizations Using Data Analytics to Fight the Coronavirus
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