DBMS > Galaxybase vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. Sadas Engine

System Properties Comparison Galaxybase vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Galaxybase  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Sadas Engine  Xexclude from comparison
Description	Scalable, ACID-compliant native distributed parallel graph platform	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	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Graph 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 0.07 Rank #377   Overall #40   Graph DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	galaxybase.com	azure.microsoft.com/­services/­synapse-analytics	www.postgres-xl.org	www.sadasengine.com
Technical documentation		docs.microsoft.com/­azure/­synapse-analytics	www.postgres-xl.org/­documentation	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司	Microsoft		SADAS s.r.l.
Initial release	2017	2016	2014 since 2012, originally named StormDB	2006
Current release	Nov 20, November 2021		10 R1, October 2018	8.0
License Commercial or Open Source	commercial	commercial	Open Source Mozilla public license	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 and Java	C++	C	C++
Server operating systems	Linux	hosted	Linux macOS	AIX Linux Windows
Data scheme	Strong typed schema	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	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes	yes distributed, parallel query execution	yes
APIs and other access methods	Browser interface console (shell) Graph API (Gremlin) OpenCypher Proprietary native API	ADO.NET JDBC ODBC	ADO.NET JDBC native C library ODBC streaming API for large objects	JDBC ODBC Proprietary protocol
Supported programming languages	Go Java Python	C# Java PHP	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	user defined procedures and functions	Transact SQL	user defined functions	no
Triggers		no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding, horizontal partitioning	horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes		yes		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	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes Relationships in graphs	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	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	yes managed by 'Learn by Usage'
User concepts Access control	Role-based access control	yes	fine grained access rights according to SQL-standard	Access rights for users, groups and roles according to SQL-standard
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More resources
	Galaxybase	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Postgres-XL	Sadas Engine
Recent citations in the news		Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Azure Synapse Link for Cosmos DB: New Analytics Capabilities 10 November 2023, InfoQ.com provided by Google News

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