DBMS > Amazon CloudSearch vs. PostgreSQL vs. Stardog vs. TinkerGraph
System Properties Comparison Amazon CloudSearch vs. PostgreSQL vs. Stardog vs. TinkerGraph
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|Editorial information provided by DB-Engines|
|Name||Amazon CloudSearch Xexclude from comparison||PostgreSQL Xexclude from comparison||Stardog Xexclude from comparison||TinkerGraph Xexclude from comparison|
|Description||A hosted search engine service by Amazon with the data stored in Amazons cloud||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization||A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API|
|Primary database model||Search engine||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Graph DBMS|
|Secondary database models||Document store|
|Developer||Amazon||PostgreSQL Global Development Group www.postgresql.org/developer||Stardog-Union|
|Initial release||2012||1989 1989: Postgres, 1996: PostgreSQL||2010||2009|
|Current release||12.3, May 2020||7.3.0, May 2020|
|License Commercial or Open Source||commercial||Open Source BSD||commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||FreeBSD|
|Data scheme||yes||yes||schema-free and OWL/RDFS-schema support||schema-free|
|Typing predefined data types such as float or date||yes||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes specific XML-type available, but no XML query functionality.||no Import/export of XML data possible||no|
|Secondary indexes||yes all search fields are automatically indexed||yes||yes supports real-time indexing in full-text and geospatial||no|
|SQL Support of SQL||no||yes standard with numerous extensions||Yes, compatible with all major SQL variants through dedicated BI/SQL Server||no|
|APIs and other access methods||HTTP API||ADO.NET|
native C library
streaming API for large objects
|GraphQL query language|
Jena RDF API
Sesame REST HTTP Protocol
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||user defined functions and aggregates, HTTP Server extensions in Java||no|
|Triggers||no||yes||yes via event handlers||no|
|Partitioning methods Methods for storing different data on different nodes||yes automatic partitioning across Amazon Search Instance as required||partitioning by range, list and (since PostgreSQL 11) by hash||none||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes managed transparently by AWS||Master-slave replication other methods possible by using 3rd party extensions||Master-master replication in HA-Cluster||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency in HA-Cluster||none|
|Foreign keys Referential integrity||no||yes||yes relationships in graphs||yes Relationships in graphs|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||no|
|Durability Support for making data persistent||yes||yes||yes||optional|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||yes|
|User concepts Access control||authentication via encrypted signatures||fine grained access rights according to SQL-standard||Access rights for users and roles||no|
|More information provided by the system vendor|
|Specific characteristics||Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...|
|Competitive advantages||Stardog provides a full featureset to aid in data integration for your complex data....|
|Typical application scenarios||Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...|
|Key customers||Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...|
|Market metrics||Stardog's technology is based on ground-breaking research by our founders cited 10,000+...|
|Licensing and pricing models||A fully-featured 60-day Trial license is available for those testing Stardog; contact...|
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