DBMS > Blueflood vs. FatDB vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. Yanza

System Properties Comparison Blueflood vs. FatDB vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. Yanza

Editorial information provided by DB-Engines
Name	Blueflood  Xexclude from comparison	FatDB  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Yanza  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.	Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Scalable TimeSeries DBMS based on Cassandra	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Low-cost RDBMS with access to ISAM and FoxPro data structures	Time Series DBMS for IoT Applications
Primary database model	Time Series DBMS	Document store Key-value store	Relational DBMS	Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.13 Rank #346   Overall #33   Time Series DBMS		Score 19.93 Rank #31   Overall #19   Relational DBMS
Website	blueflood.io		azure.microsoft.com/­services/­synapse-analytics	www.sap.com/products/advantage-database-server.html	yanza.com
Technical documentation	github.com/­rax-maas/­blueflood/­wiki		docs.microsoft.com/­azure/­synapse-analytics
Developer	Rackspace	FatCloud	Microsoft	Sybase, SAP	Yanza
Initial release	2013	2012	2016	1993	2015
License Commercial or Open Source	Open Source Apache 2.0	commercial	commercial	commercial	commercial free version available
Cloud-based only Only available as a cloud service	no	no	yes	no	no but mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C#	C++
Server operating systems	Linux OS X	Windows	hosted	Linux Windows	Windows
Data scheme	predefined scheme	schema-free	yes	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes	yes	no
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	no	yes	yes	yes	no
SQL Support of SQL	no	no Via inetgration in SQL Server	yes	yes	no
APIs and other access methods	HTTP REST	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	ADO.NET JDBC ODBC	.NET Client API ADO.NET JDBC ODBC OLE DB	HTTP API
Supported programming languages		C#	C# Java PHP	Delphi Perl PHP	any language that supports HTTP calls
Server-side scripts Stored procedures	no	yes via applications	Transact SQL	yes	no
Triggers	no	yes via applications	no	yes	yes Timer and event based
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding	Sharding, horizontal partitioning	none	none
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	selectable replication factor	yes	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID	ACID	no
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
User concepts Access control	no	no Can implement custom security layer via applications	yes	fine grained access rights according to SQL-standard	no
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Blueflood	FatDB	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	SAP Advantage Database Server former name: Sybase ADS	Yanza
Recent citations in the news	Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software provided by Google News		General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

Share this page