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DBMS > Amazon CloudSearch vs. Apache Spark (SQL) vs. Elasticsearch

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

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Spark (SQL)  Xexclude from comparisonElasticsearch  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 processingA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
Primary database modelSearch engineRelational DBMSSearch engine
Vector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#135  Overall
#12  Search engines
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score123.81
Rank#9  Overall
#1  Search engines
#1  Vector DBMS
Websiteaws.amazon.com/­cloudsearchspark.apache.org/­sqlwww.elastic.co/­elasticsearch
Technical documentationdocs.aws.amazon.com/­cloudsearchspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazonApache Software FoundationElastic
Initial release201220142010
Current release3.5.0 ( 2.13), September 20238.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoElastic License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyes infoall search fields are automatically indexednoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsHTTP APIJDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noMemcached and Redis integration
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchApache Spark (SQL)Elasticsearch
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25 July 2024, Amazon Web Services

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