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DBMS > Oracle NoSQL vs. Spark SQL vs. SwayDB

System Properties Comparison Oracle NoSQL vs. Spark SQL vs. SwayDB

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Editorial information provided by DB-Engines
NameOracle NoSQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Key-value store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.96
Rank#103  Overall
#18  Document stores
#17  Key-value stores
#52  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Websitewww.oracle.com/­database/­nosql/­technologies/­nosqlspark.apache.org/­sqlswaydb.simer.au
Technical documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOracleApache Software FoundationSimer Plaha
Initial release201120142018
Current release23.3, December 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaScala
Server operating systemsLinux
Solaris SPARC/x86
Linux
OS X
Windows
Data schemeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesschema-free
Typing infopredefined data types such as float or dateoptionalyesno
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Supported programming languagesC
C#
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataconfigurable infoACID within a storage node (=shard)noAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cachenoyes
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Oracle NoSQLSpark SQLSwayDB
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