
MongoDB
PostgreSQL
CouchBase
MariaDB
Redis
SQLite
Firebird
Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

Google BigQuery
Microsoft Office Access
Brilliant Database
Firebird
Microsoft SQL Server Compact
CompactView
ObjectBox
Learn about Amazon Redshift cloud data warehouse.

Which is more popular?
Based on our record, Amazon Redshift should be more popular than Microsoft SQL Server. It has been mentioned 30 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | azure.microsoft.com | aws.amazon.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
What is Microsoft SQL Server?
Getting Started with Amazon Redshift - AWS Online Tech Talks
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Microsoft SQL Server and Amazon Redshift. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Microsoft SQL Server development tools are the baseline for most teams. They’re widely used, free to start with, and tightly integrated with SQL Server. Even teams that rely on third-party tools typically keep...
In this article, you were introduced to Microsoft SQL Server and its promising SQL Server Data Tools. You understood the need for SQL Server Data Tools and its various features. Moreover, you learned the key steps to...
It is a SQL management tool for analysing the differences in Microsoft SQL Server database structures. It allows comparing database objects like tables, columns, indexes, foreign keys, schemas, etc.
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis,...
Amazon Redshift is a powerful, fully managed data warehousing solution designed for handling large-scale analytics and business intelligence workloads. Its seamless integration with the AWS ecosystem makes it a top...
No, SQL (Structured Query Language) is not a data warehouse itself. SQL is a programming language used for managing and querying data stored in relational database management systems (RDBMS) and data warehouses. Many...
Recommendations tracked on public social media and blogs since March 2021.


Imagine your Angular application, currently confined to your development environment, becoming instantly accessible to users across the globe with Azure. - Source: dev.to / about 1 year ago
Azure is the #2 overall Cloud provider and, as expected, it's the best choice for most Microsoft/Windows-based solutions. That said, it does offer many types of Linux VMs, with quite similar abilities as AWS/GCP. - Source: dev.to / about 2 years ago
Amdocs has partnered with NVIDIA and Microsoft Azure to build custom Large Language Models (LLMs) for the $1.7 trillion global telecoms industry. Source: almost 3 years ago
Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its... - Source: dev.to / 8 months ago
If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data... - Source: dev.to / over 1 year ago
Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. It’s a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / almost 2 years ago
When comparing Microsoft SQL Server and Amazon Redshift, you can also consider the following products.

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Compare MongoDB to Microsoft SQL Server or Amazon Redshift:

A fully managed data warehouse for large-scale data analytics.
Compare Google BigQuery to Microsoft SQL Server or Amazon Redshift:

PostgreSQL is a powerful, open source object-relational database system.
Compare PostgreSQL to Microsoft SQL Server or Amazon Redshift:

Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.
Compare Microsoft Office Access to Microsoft SQL Server or Amazon Redshift:

Document-Oriented NoSQL Database
Compare CouchBase to Microsoft SQL Server or Amazon Redshift:

Create a personal or business desktop database fast and easily using this simple all-in-one database software. Free 30 day trial.
Compare Brilliant Database to Microsoft SQL Server or Amazon Redshift: