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DBMS > Amazon CloudSearch vs. DuckDB vs. MarkLogic vs. SQLite

System Properties Comparison Amazon CloudSearch vs. DuckDB vs. MarkLogic vs. SQLite

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDuckDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embeddable, in-process, column-oriented SQL OLAP RDBMSOperational and transactional Enterprise NoSQL databaseWidely used embeddable, in-process RDBMS
Primary database modelSearch engineRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­cloudsearchduckdb.orgwww.progress.com/­marklogicwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­cloudsearchduckdb.org/­docswww.progress.com/­marklogic/­documentationwww.sqlite.org/­docs.html
DeveloperAmazonMarkLogic Corp.Dwayne Richard Hipp
Initial release2012201820012000
Current release1.0.0, June 202411.0, December 20223.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial inforestricted free version is availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C
Server operating systemshostedserver-lessLinux
OS X
Windows
server-less
Data schemeyesyesschema-free infoSchema can be enforcedyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.noyesno
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL92yes infoSQL-92 is not fully supported
APIs and other access methodsHTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptno
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infovia file-system locks
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.yesyes, with Range Indexesyes
User concepts infoAccess controlauthentication via encrypted signaturesnoRole-based access control at the document and subdocument levelsno

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More resources
Amazon CloudSearchDuckDBMarkLogicSQLite
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Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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