DBMS > Microsoft Azure Data Explorer vs. PostgreSQL vs. SAP SQL Anywhere
System Properties Comparison Microsoft Azure Data Explorer vs. PostgreSQL vs. SAP SQL Anywhere
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Microsoft Azure Data Explorer Xexclude from comparison||PostgreSQL Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison|
|Description||Fully managed big data interactive analytics platform||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments|
|Primary database model||Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS|
|Secondary database models||Document store|
|Developer||Microsoft||PostgreSQL Global Development Group www.postgresql.org/developer||SAP formerly Sybase|
|Initial release||2019||1989 1989: Postgres, 1996: PostgreSQL||1992|
|Current release||12.0, October 2019||17, July 2015|
|License Commercial or Open Source||commercial||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||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.||yes||yes specific XML-type available, but no XML query functionality.||yes|
|SQL Support of SQL||Kusto Query Language (KQL), SQL subset||yes standard with numerous extensions||yes|
|APIs and other access methods||Microsoft SQL Server communication protocol (MS-TDS)|
RESTful HTTP API
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||Yes. Languages: KQL, Python, R||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes, in C/C++, Java, .Net or Perl|
|Triggers||Table-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.||Master-slave replication other methods possible by using 3rd party extensions||Master-slave replication Database mirroring|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
|Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||yes|
|User concepts Access control||Azure Active Directory Authentication||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||pgDash: In-Depth PostgreSQL Monitoring. |
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft Azure Data Explorer||PostgreSQL||SAP SQL Anywhere formerly called Adaptive Server Anywhere|
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2018
|Recent citations in the news|
Microsoft announces security, identity, management, and compliance updates across Azure and Office
Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
Azure Data Explorer for IoT Data Analytics | Internet of Things Show - Microsoft
An overview of Azure Data Explorer (ADX) - Microsoft
How to use Azure Data Explorer for big data analysis
provided by Google News
Introducing PostgREST, a REST API for any PostgreSQL database written in Haskell
PostgreSQL 12 boosts open source database performance
Greenplum 6 review: Jack of all trades, master of some
We're free in 3... 2... 1! Amazon unhooks its last Oracle database, nothing breaks and life goes on
provided by Google News
SAP gives SQL Anywhere a new IoT injection
What is SAP SQL Anywhere? - Definition from WhatIs.com
SAP BAPI (Business Application Programming Interface)
SAP IoT products: How do they work with ERP and big data?
How to manage mobile databases: Tips and best practices
provided by Google News
Senior Data Engineer - Turn 10 Studios
Senior Software Engineer
Software Engineer II
Senior Data & Applied Scientist
Sr Applications Engineer - Corporate Systems
Sr. Database Engineer – AWS Database Services – Migration as a Service
Customer Insights Analyst
Geographer Research Analyst
Senior Director & Head of Clinical Data Science
Azure Database Administrator
Help Desk Technician
Share this page