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DBMS > Amazon CloudSearch vs. Apache Spark (SQL)

System Properties Comparison Amazon CloudSearch vs. Apache Spark (SQL)

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Our visitors often compare Amazon CloudSearch and Apache Spark (SQL) with Elasticsearch, PostgreSQL and Snowflake.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Spark (SQL)  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudApache Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.62
Rank#135  Overall
#12  Search engines
Score20.40
Rank#29  Overall
#18  Relational DBMS
Websiteaws.amazon.com/­cloudsearchspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­cloudsearchspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonApache Software Foundation
Initial release20122014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Server operating systemshostedLinux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyes infoall search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsHTTP APIJDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchApache Spark (SQL)
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