DBMS > Microsoft Azure Table Storage vs. Sadas Engine vs. SAP Advantage Database Server vs. Stardog

System Properties Comparison Microsoft Azure Table Storage vs. Sadas Engine vs. SAP Advantage Database Server vs. Stardog

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Editorial information provided by DB-Engines
Name	Microsoft Azure Table Storage  Xexclude from comparison	Sadas Engine  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Stardog  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	A Wide Column Store for rapid development using massive semi-structured datasets	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	Low-cost RDBMS with access to ISAM and FoxPro data structures	Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database model	Wide column store	Relational DBMS	Relational DBMS	Graph DBMS RDF store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.07 Rank #373   Overall #157   Relational DBMS		Score 2.07 Rank #122   Overall #11   Graph DBMS #6   RDF stores
Website	azure.microsoft.com/­en-us/­services/­storage/­tables	www.sadasengine.com	www.sap.com/products/advantage-database-server.html	www.stardog.com
Technical documentation		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation		docs.stardog.com
Developer	Microsoft	SADAS s.r.l.	Sybase, SAP	Stardog-Union
Initial release	2012	2006	1993	2010
Current release		8.0		7.3.0, May 2020
License Commercial or Open Source	commercial	commercial free trial version available	commercial	commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++		Java
Server operating systems	hosted	AIX Linux Windows	Linux Windows	Linux macOS Windows
Data scheme	schema-free	yes	yes	schema-free and OWL/RDFS-schema support
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.	no	no	no	no Import/export of XML data possible
Secondary indexes	no	yes	yes	yes supports real-time indexing in full-text and geospatial
SQL Support of SQL	no	yes	yes	Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods	RESTful HTTP API	JDBC ODBC Proprietary protocol	.NET Client API ADO.NET JDBC ODBC OLE DB	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 languages	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ Groovy Java PHP Python	Delphi Perl PHP	.Net Clojure Groovy Java JavaScript Python Ruby
Server-side scripts Stored procedures	no	no	yes	user defined functions and aggregates, HTTP Server extensions in Java
Triggers	no	no	yes	yes via event handlers
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	horizontal partitioning	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	none	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	Multi-source replication in HA-Cluster
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	Immediate Consistency	Immediate Consistency in HA-Cluster
Foreign keys Referential integrity	no	yes	yes	yes relationships in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	optimistic locking		ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes managed by 'Learn by Usage'	no caching of (temporary) tables can be configured	yes
User concepts Access control	Access rights based on private key authentication or shared access signatures	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard	Access rights for users and roles
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More resources
	Microsoft Azure Table Storage	Sadas Engine	SAP Advantage Database Server former name: Sybase ADS	Stardog
Recent citations in the news	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News		SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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