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DBMS > Amazon CloudSearch vs. Kyligence Enterprise vs. Spark SQL vs. SQream DB

System Properties Comparison Amazon CloudSearch vs. Kyligence Enterprise vs. Spark SQL vs. SQream DB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA distributed analytics engine for big data, built on top of Apache KylinSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­cloudsearchkyligence.io/­kyligence-enterprisespark.apache.org/­sqlsqream.com
Technical documentationdocs.aws.amazon.com/­cloudsearchspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.com
DeveloperAmazonKyligence, Inc.Apache Software FoundationSQream Technologies
Initial release2012201620142017
Current release3.5.0 ( 2.13), September 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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 indexedyesnono
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statementsyes
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesJava
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions in Python
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyes, utilizing Spark Corehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.nono
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchKyligence EnterpriseSpark SQLSQream DB
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