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DBMS > FatDB vs. jBASE vs. searchxml vs. Spark SQL

System Properties Comparison FatDB vs. jBASE vs. searchxml vs. Spark SQL

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonjBASE  Xexclude from comparisonsearchxml  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.A robust multi-value DBMS comprising development tools and middlewareDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Multivalue DBMSNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.searchxml.net/­category/­productsspark.apache.org/­sql
Technical documentationdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudRocket Software (formerly Zumasys)informationpartners gmbhApache Software Foundation
Initial release2012199120152014
Current release5.71.03.5.0 ( 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#C++Scala
Server operating systemsWindowsAIX
Linux
Windows
WindowsLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.yesyesno
Secondary indexesyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerEmbedded SQL for jBASE in BASICnoSQL-like DML and DDL statements
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Supported programming languagesC#.Net
Basic
Jabbascript
Java
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsyesyes infoon the application serverno
Triggersyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDmultiple readers, single writerno
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.yesnono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights can be defined down to the item levelDomain, group and role-based access control at the document level and for application servicesno

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More resources
FatDBjBASEsearchxmlSpark SQL
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