DBMS > Microsoft Azure Synapse Analytics vs. Postgres-XL vs. RDF4J vs. Sequoiadb

System Properties Comparison Microsoft Azure Synapse Analytics vs. Postgres-XL vs. RDF4J vs. Sequoiadb

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Editorial information provided by DB-Engines
Name	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Postgres-XL  Xexclude from comparison	RDF4J formerly known as Sesame  Xexclude from comparison	Sequoiadb  Xexclude from comparison
Description	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	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.	NewSQL database with distributed OLTP and SQL
Primary database model	Relational DBMS	Relational DBMS	RDF store	Document store Relational DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.74 Rank #222   Overall #9   RDF stores	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	azure.microsoft.com/­services/­synapse-analytics	www.postgres-xl.org	rdf4j.org	www.sequoiadb.com
Technical documentation	docs.microsoft.com/­azure/­synapse-analytics	www.postgres-xl.org/­documentation	rdf4j.org/­documentation	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Microsoft		Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.	Sequoiadb Ltd.
Initial release	2016	2014 since 2012, originally named StormDB	2004	2013
Current release		10 R1, October 2018
License Commercial or Open Source	commercial	Open Source Mozilla public license	Open Source Eclipse Distribution License (EDL), v1.0.	Open Source Server: AGPL; Client: Apache V2
Cloud-based only Only available as a cloud service	yes	no	no	no
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Implementation language	C++	C	Java	C++
Server operating systems	hosted	Linux macOS	Linux OS X Unix Windows	Linux
Data scheme	yes	yes	yes RDF Schemas	schema-free
Typing predefined data types such as float or date	yes	yes	yes	yes oid, date, timestamp, binary, regex
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	yes XML type, but no XML query functionality		no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	yes distributed, parallel query execution	no	SQL-like query language
APIs and other access methods	ADO.NET JDBC ODBC	ADO.NET JDBC native C library ODBC streaming API for large objects	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL	proprietary protocol using JSON
Supported programming languages	C# Java PHP	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	Java PHP Python	.Net C++ Java PHP Python
Server-side scripts Stored procedures	Transact SQL	user defined functions	yes	JavaScript
Triggers	no	yes	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding, horizontal partitioning	horizontal partitioning	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes		none	Source-replica replication
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		Eventual Consistency
Foreign keys Referential integrity	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	ACID	ACID MVCC	ACID Isolation support depends on the API used	Document is locked during a transaction
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes in-memory storage is supported as well	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no		no
User concepts Access control	yes	fine grained access rights according to SQL-standard	no	simple password-based access control
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More resources
	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Postgres-XL	RDF4J formerly known as Sesame	Sequoiadb
Recent citations in the news	General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, azure.microsoft.com 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 Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, azure.microsoft.com Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News		GraphDB Goes Open Source 27 January 2020, iProgrammer Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer 13 June 2019, Markets Insider provided by Google News

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