DBMS > FatDB vs. Microsoft Azure Table Storage vs. SAP Advantage Database Server vs. TempoIQ vs. Yaacomo

System Properties Comparison FatDB vs. Microsoft Azure Table Storage vs. SAP Advantage Database Server vs. TempoIQ vs. Yaacomo

Editorial information provided by DB-Engines
Name	FatDB  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	TempoIQ formerly TempoDB  Xexclude from comparison	Yaacomo  Xexclude from comparison
	FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.		SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.	TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.	Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Description	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	A Wide Column Store for rapid development using massive semi-structured datasets	Low-cost RDBMS with access to ISAM and FoxPro data structures	Scalable analytics DBMS for sensor data, provided as a service (SaaS)	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Document store Key-value store	Wide column store	Relational DBMS	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.04 Rank #77   Overall #6   Wide column stores
Website		azure.microsoft.com/­en-us/­services/­storage/­tables	www.sap.com/products/advantage-database-server.html	tempoiq.com (offline)	yaacomo.com
Developer	FatCloud	Microsoft	Sybase, SAP	TempoIQ	Q2WEB GmbH
Initial release	2012	2012	1993	2012	2009
License Commercial or Open Source	commercial	commercial	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	yes	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C#
Server operating systems	Windows	hosted	Linux Windows		Android Linux Windows
Data scheme	schema-free	schema-free	yes	schema-free	yes
Typing predefined data types such as float or date	yes	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
Secondary indexes	yes	no	yes		yes
SQL Support of SQL	no Via inetgration in SQL Server	no	yes	no	yes
APIs and other access methods	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	RESTful HTTP API	.NET Client API ADO.NET JDBC ODBC OLE DB	HTTP API	JDBC ODBC
Supported programming languages	C#	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	Delphi Perl PHP	C# Java JavaScript Node.js Python Ruby
Server-side scripts Stored procedures	yes via applications	no	yes	no
Triggers	yes via applications	no	yes	yes Realtime Alerts	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding Implicit feature of the cloud service	none		horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication		Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	optimistic locking	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no	no caching of (temporary) tables can be configured	no	yes
User concepts Access control	no Can implement custom security layer via applications	Access rights based on private key authentication or shared access signatures	fine grained access rights according to SQL-standard	simple authentication-based access control	fine grained access rights according to SQL-standard
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More resources
	FatDB	Microsoft Azure Table Storage	SAP Advantage Database Server former name: Sybase ADS	TempoIQ formerly TempoDB	Yaacomo
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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