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DBMS > FatDB vs. Ingres vs. OushuDB vs. Spark SQL

System Properties Comparison FatDB vs. Ingres vs. OushuDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonIngres  Xexclude from comparisonOushuDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Well established RDBMSA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.actian.com/­databases/­ingreswww.oushu.com/­product/­oushuDBspark.apache.org/­sql
Technical documentationdocs.actian.com/­ingreswww.oushu.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudActian CorporationOushuApache Software Foundation
Initial release20121974 infooriginally developed at University Berkely in early 1970s2014
Current release11.2, May 20224.0.1, August 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CScala
Server operating systemsWindowsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesFull-featured ANSI SQL supportSQL-like DML and DDL statements
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#C
C++
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsyesyesno
Triggersyes infovia applicationsyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.nono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardKerberos, SSL and role based accessno

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More resources
FatDBIngresOushuDBSpark SQL
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