DBMS > Google Search Appliance vs. Microsoft SQL Server vs. RDF4J
System Properties Comparison Google Search Appliance vs. Microsoft SQL Server vs. RDF4J
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|Editorial information provided by DB-Engines|
|Name||Google Search Appliance Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||RDF4J formerly known as Sesame Xexclude from comparison|
|Description||The Google Search Appliance consists of hardware and software for indexing documents in local networks.||Microsofts relational DBMS||RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.|
|Primary database model||Search engine||Relational DBMS||RDF store|
|Secondary database models||Document store|
|Developer||Microsoft||Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.|
|Current release||SQL Server 2017, October 2017|
|License Commercial or Open Source||commercial||commercial restricted free version is available||Open Source Eclipse Distribution License (EDL), v1.0.|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Data scheme||yes||yes RDF Schemas|
|Typing predefined data types such as float or date||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.||no||yes|
|SQL Support of SQL||no||yes||no|
|APIs and other access methods||Administrative API|
Tabular Data Stream (TDS)
RIO RDF Input/Output
SeRQL Sesame RDF Query Language
Sesame REST HTTP Protocol
|Supported programming languages||C#|
|Server-side scripts Stored procedures||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication||yes, but depending on the SQL-Server Edition||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID Isolation support depends on the API used|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes in-memory storage is supported as well|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||User authentication via various security protocols||fine grained access rights according to SQL-standard||no|
More information provided by the system vendor
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|Related products and services|
|3rd parties||ERBuilder provides all the features you would expect from a professional database modeling and design tool.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Google Search Appliance||Microsoft SQL Server||RDF4J formerly known as Sesame|
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|Conferences and events|
PASS Summit 2019
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