DBMS > Drizzle vs. Infobright vs. Microsoft Azure Synapse Analytics vs. Postgres-XL

System Properties Comparison Drizzle vs. Infobright vs. Microsoft Azure Synapse Analytics vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Drizzle  Xexclude from comparison	Infobright  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Postgres-XL  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.	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Relational DBMS	Relational DBMS	Relational DBMS	Relational DBMS
Secondary database models				Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website		ignitetech.com/­softwarelibrary/­infobrightdb	azure.microsoft.com/­services/­synapse-analytics	www.postgres-xl.org
Technical documentation			docs.microsoft.com/­azure/­synapse-analytics	www.postgres-xl.org/­documentation
Developer	Drizzle project, originally started by Brian Aker	Ignite Technologies Inc.; formerly InfoBright Inc.	Microsoft
Initial release	2008	2005	2016	2014 since 2012, originally named StormDB
Current release	7.2.4, September 2012			10 R1, October 2018
License Commercial or Open Source	Open Source GNU GPL	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	commercial	Open Source Mozilla public license
Cloud-based only Only available as a cloud service	no	no	yes	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	Linux Windows	hosted	Linux macOS
Data scheme	yes	yes	yes	yes
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	yes XML type, but no XML query functionality
Secondary indexes	yes	no Knowledge Grid Technology used instead	yes	yes
SQL Support of SQL	yes with proprietary extensions	yes	yes	yes distributed, parallel query execution
APIs and other access methods	JDBC	ADO.NET JDBC ODBC	ADO.NET JDBC ODBC	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	C C++ Java PHP	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C# Java PHP	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	no	Transact SQL	user defined functions
Triggers	no hooks for callbacks inside the server can be used.	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	none	Sharding, horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	Source-replica replication	yes
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
Foreign keys Referential integrity	yes	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	ACID	ACID MVCC
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.		yes		no
User concepts Access control	Pluggable authentication mechanisms e.g. LDAP, HTTP	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	yes	fine grained access rights according to SQL-standard
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More resources
	Drizzle	Infobright	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Postgres-XL
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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