Amazon Redshift vs Microsoft Analytics Platform System comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Data Warehouse category. Amazon Web Services (AWS) is ranked #5 with an average rating of 7.9, while Microsoft is ranked #19. Amazon Web Services (AWS) holds a 4.9% mindshare in Data Warehouse, compared to Microsoft’s 2.3% mindshare. Additionally, 87% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 66% of Microsoft users who would recommend it.

Amazon Redshift

Read 72 Amazon Redshift reviews

3,320 Views
2,025 Comparison Views

87% willing to recommend

Microsoft Analytics Platfor...

Read 9 Microsoft Analytics Platform System reviews

760 Views
532 Comparison Views

66% willing to recommend

Amazon Redshift

Microsoft Analytics Platfor...

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Amazon Redshift and Microsoft Analytics Platform System based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon Redshift vs. Microsoft Analytics Platform System Report (Updated: January 2026).

Buyer's Guide

Amazon Redshift vs. Microsoft Analytics Platform System

January 2026

Download the complete report

Helped 881,515 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Redshift

Ranking in Data Warehouse

5th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (8th), Database Management Systems (DBMS) (8th)

Microsoft Analytics Platfor...

Ranking in Data Warehouse

19th

Average Rating

6.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Warehouse category, the mindshare of Amazon Redshift is 4.9%, down from 7.9% compared to the previous year. The mindshare of Microsoft Analytics Platform System is 2.3%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Market Share Distribution
Product	Market Share (%)
Amazon Redshift	4.9%
Microsoft Analytics Platform System	2.3%
Other	92.8%

Data Warehouse

Featured Reviews

PraveenJagadeesan

Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees

Performance optimization and scaling adaptations enable efficient data management

Amazon Redshift does not work alone and requires integration with other AWS tools like S3 and Glue for a complete ecosystem. They should bring the entire ETL data management process into Amazon Redshift. Either they should move Amazon Redshift under Glue, or Glue should be brought under Amazon Redshift. The initial setup could also be improved, particularly in terms of sizing, as it requires trial and error to get right.

Read full review

MahmoudMohamed1

Senior Data Engineer at Tatweer Educational Technologies Company - TETCO

Offers smooth data integration between systems, but requires better real-time analytics capabilities

We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services. This lets us continue using private databases without paying additional licensing fees. Additionally, the license includes Analytics services and Power BI, which work on-premises, unlike most other technologies that require cloud solutions.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."

"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."

"Its simplicity in configuration, cost-effectiveness due to being in the cloud and close to our data sources, and the fact that it's a managed service that is scalable and reliable are highly valuable."

"I have primarily used the Redshift Spectrum feature and found it most valuable."

"The initial setup is easy."

"Has a very user-friendly SQL editor and it's very easy to use the connectors."

"We have found Machine Learning use cases are very nice."

"Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers."

More Amazon Redshift pros

"It is closely integrated with other products in the MS portfolio."

"Helps our customers to discover trends, which provides useful information based on their business."

"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."

"I like that it's integrated with other Azure products."

"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."

"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."

"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."

"This is a well-integrated solution and that integration empowers results."

Cons

"When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."

"Amazon Redshift does not have the capability to dynamically increase the VM file."

"It is not easy to deal with queries in Amazon Redshift and see the same data."

"We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."

"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."

"Improvement could be made in the area of streaming data."

"In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic."

"I rate their support seven out of ten. It's costly when you enable support. The price is high for technical support."

More Amazon Redshift cons

"The pricing model needs to be improved."

"We need better real-time analytics capabilities. It's a bit challenging for us."

"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."

"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."

"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."

"Microsoft Analytics Platform System could have better support."

"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."

"Functionality needs to be more up-to-date with competing products."

More Microsoft Analytics Platform System cons

Pricing and Cost Advice

"BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."

"Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."

"The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."

"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."

"The cost will depend on how you set up your warehouse and what kind of data you store."

"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."

"The pricing is reasonable."

"The best part about this solution is the cost."

More Amazon Redshift pricing and cost advice

"Users have to pay extra for premium-level technical support."

"I rate Microsoft Analytics Platform System a seven out of ten for pricing."

"We are currently paying $200,000 a year for all the different parts of the suite during an ingest model Microsoft now charges us $700,000 a year."

"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."

See which vendors are best for you

Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.

See recommendations

881,515 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

11%

Manufacturing Company

10%

Media Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	28

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

See all answers

What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

See all answers

What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

See all answers

Ask a question

Earn 20 points

Comparisons

Snowflake vs Amazon Redshift

Compared 15% of the time

Teradata vs Amazon Redshift

Compared 11% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 7% of the time

AWS Lake Formation vs Amazon Redshift

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Amazon Redshift

Compared 7% of the time

More Amazon Redshift Competitors

Teradata vs Microsoft Analytics Platform System

Compared 13% of the time

Microsoft Azure Synapse Analytics vs Microsoft Analytics Platform System

Compared 12% of the time

SAP BW4HANA vs Microsoft Analytics Platform System

Compared 11% of the time

Oracle Exadata vs Microsoft Analytics Platform System

Compared 8% of the time

IBM Netezza Performance Server vs Microsoft Analytics Platform System

Compared 7% of the time

More Microsoft Analytics Platform System Competitors

Product Reports

Buyer's Guide

Amazon Redshift

January 2026

Download Amazon Redshift product report

Buyer's Guide

Microsoft Analytics Platform System

January 2026

Microsoft Analytics Platform System report

Download Microsoft Analytics Platform System product report

Also Known As

No data available

Microsoft APS, MS Analytics Platform System

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.

Microsoft

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International

Buyer's Guide

Amazon Redshift vs. Microsoft Analytics Platform System

January 2026

Free Report: Amazon Redshift vs. Microsoft Analytics Platform System

Find out what your peers are saying about Amazon Redshift vs. Microsoft Analytics Platform System and other solutions. Updated: January 2026.

DOWNLOAD NOW

881,515 professionals have used our research since 2012.

See our Amazon Redshift vs. Microsoft Analytics Platform System report.

See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.