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

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

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonOushuDB  Xexclude from comparisonRockset  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 data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.oushu.com/­product/­oushuDBrockset.comspark.apache.org/­sql
Technical documentationwww.oushu.com/­documentationdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudOushuRocksetApache Software Foundation
Initial release201220192014
Current release4.0.1, 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 servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++Scala
Server operating systemsWindowsLinuxhostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerFull-featured ANSI SQL supportRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
HTTP RESTJDBC
ODBC
Supported programming languagesC#C
C++
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsyesnono
Triggersyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.no
User concepts infoAccess controlno infoCan implement custom security layer via applicationsKerberos, SSL and role based accessAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
FatDBOushuDBRocksetSpark SQL
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