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DBMS > Amazon CloudSearch vs. DuckDB vs. OceanBase vs. Stardog

System Properties Comparison Amazon CloudSearch vs. DuckDB vs. OceanBase vs. Stardog

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDuckDB  Xexclude from comparisonOceanBase  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embeddable, in-process, column-oriented SQL OLAP RDBMSA distributed, high available RDBMS compatible with Oracle and MySQLEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelSearch engineRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Wide column store
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
Score1.97
Rank#119  Overall
#58  Relational DBMS
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­cloudsearchduckdb.orgen.oceanbase.comwww.stardog.com
Technical documentationdocs.aws.amazon.com/­cloudsearchduckdb.org/­docsen.oceanbase.com/­docs/­oceanbase-databasedocs.stardog.com
DeveloperAmazonOceanBase infopreviously Alibaba and Ant GroupStardog-Union
Initial release2012201820102010
Current release1.0.0, June 20244.3.0, April 20247.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoCommercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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++Java
Server operating systemshostedserver-lessLinuxLinux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
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
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneMulti-source replication using PaxosMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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
User concepts infoAccess controlauthentication via encrypted signaturesnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
Amazon CloudSearchDuckDBOceanBaseStardog
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