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DBMS > IBM Cloudant vs. OushuDB vs. Spark SQL vs. SurrealDB

System Properties Comparison IBM Cloudant vs. OushuDB vs. Spark SQL vs. SurrealDB

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonOushuDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBA 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 processingA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.ibm.com/­products/­cloudantwww.oushu.com/­product/­oushuDBspark.apache.org/­sqlsurrealdb.com
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.oushu.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docs
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014OushuApache Software FoundationSurrealDB Ltd
Initial release201020142022
Current release4.0.1, August 20203.5.0 ( 2.13), September 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangScalaRust
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoFull-featured ANSI SQL supportSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
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 controlAccess rights for users can be defined per databaseKerberos, SSL and role based accessnoyes, based on authentication and database rules

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More resources
IBM CloudantOushuDBSpark SQLSurrealDB
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