DBMS > Drizzle vs. Microsoft Azure Synapse Analytics vs. OrigoDB vs. Sadas Engine

System Properties Comparison Drizzle vs. Microsoft Azure Synapse Analytics vs. OrigoDB vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Drizzle  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	OrigoDB  Xexclude from comparison	Sadas Engine  Xexclude from comparison
	Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	A fully ACID in-memory object graph database	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Relational DBMS	Relational DBMS	Document store Object oriented DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #19   Object oriented DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website		azure.microsoft.com/­services/­synapse-analytics	origodb.com	www.sadasengine.com
Technical documentation		docs.microsoft.com/­azure/­synapse-analytics	origodb.com/­docs	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Drizzle project, originally started by Brian Aker	Microsoft	Robert Friberg et al	SADAS s.r.l.
Initial release	2008	2016	2009 under the name LiveDB	2006
Current release	7.2.4, September 2012			8.0
License Commercial or Open Source	Open Source GNU GPL	commercial	Open Source	commercial free trial version available
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++	C++	C#	C++
Server operating systems	FreeBSD Linux OS X	hosted	Linux Windows	AIX Linux Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	User defined using .NET types and collections	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 can be achieved using .NET	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes with proprietary extensions	yes	no	yes
APIs and other access methods	JDBC	ADO.NET JDBC ODBC	.NET Client API HTTP API LINQ	JDBC ODBC Proprietary protocol
Supported programming languages	C C++ Java PHP	C# Java PHP	.Net	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	Transact SQL	yes	no
Triggers	no hooks for callbacks inside the server can be used.	no	yes Domain Events	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding, horizontal partitioning	horizontal partitioning client side managed; servers are not synchronized	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	yes	Source-replica replication	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
Foreign keys Referential integrity	yes	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	depending on model	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Write ahead log	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.			yes	yes managed by 'Learn by Usage'
User concepts Access control	Pluggable authentication mechanisms e.g. LDAP, HTTP	yes	Role based authorization	Access rights for users, groups and roles according to SQL-standard
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More resources
	Drizzle	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	OrigoDB	Sadas Engine
DB-Engines blog posts	MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
Recent citations in the 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

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