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DBMS > Amazon CloudSearch vs. jBASE vs. LeanXcale

System Properties Comparison Amazon CloudSearch vs. jBASE vs. LeanXcale

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonjBASE  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA robust multi-value DBMS comprising development tools and middlewareA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelSearch engineMultivalue DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.leanxcale.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAmazonRocket Software (formerly Zumasys)LeanXcale
Initial release201219912015
Current release5.7
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedAIX
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptional
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.yes
Secondary indexesyes infoall search fields are automatically indexed
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICyes infothrough Apache Derby
APIs and other access methodsHTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languages.Net
Basic
Jabbascript
Java
C
Java
Scala
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights can be defined down to the item level

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More resources
Amazon CloudSearchjBASELeanXcale
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

Amazon to challenge Google with AWS CloudSearch
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