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DBMS > Amazon CloudSearch vs. dBASE vs. StarRocks

System Properties Comparison Amazon CloudSearch vs. dBASE vs. StarRocks

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisondBASE  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons clouddBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.dbase.comwww.starrocks.io
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.dbase.com/­support/­knowledgebasedocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperAmazonAsthon TateThe Linux Foundation infosince Feb 2023
Initial release201219792020
Current releasedBASE 2019, 20192.5.3, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
Linux
Data schemeyesyesyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP APInone infoThe IDE can access other DBMS or ODBC-sources.JDBC
MySQL protocol
Supported programming languagesdBase proprietary IDEJava
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.user defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno
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.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesRole based access control and fine grained access rights

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More resources
Amazon CloudSearchdBASEStarRocks
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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

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

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

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

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

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