Amazon Redshift vs Microsoft Analytics Platform System comparison

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Amazon Web Services (AWS) Logo
8,203 views|6,066 comparisons
87% willing to recommend
Microsoft Logo
323 views|240 comparisons
66% willing to recommend
Comparison Buyer's Guide
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: March 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate.""Easy to build out our snowflake design and load data.""In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes.""Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features.""The most valuable feature of Redshift is its cluster.""Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers.""I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently.""The solution is scalable. It handles different loads very well."

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"Helps our customers to discover trends, which provides useful information based on their business.""We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services.""I like that it's integrated with other Azure products.""This is a well-integrated solution and that integration empowers results.""This solution will connect to any database, you can combine databases, and you can create a cube or tabular model.""Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases.""It is closely integrated with other products in the MS portfolio.""The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."

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Cons
"The refreshment rate of data reaching Redshift from other sources should be faster.""There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments.""Query compilation time needs a lot of improvement for cases where you are generating queries dynamically.""The speed of the solution and its portability needs improvement.""The customer support could be more responsive.""The technical support should be better in terms of their knowledge, and they should be more customer-friendly.""There are too many limitations with respect to concurrency.""In our experiments, the handling of unstructured data was not very smooth."

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"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.""​Hybrid environments are complex to manage.""Functionality needs to be more up-to-date with competing products.""The pricing model needs to be improved.""Microsoft Analytics Platform System could have better support.""The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."

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Pricing and Cost Advice
  • "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."
  • "If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
  • "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."
  • "One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
  • "Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
  • "It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
  • "The best part about this solution is the cost."
  • "The part that I like best is that you only pay for what you are using."
  • More Amazon Redshift Pricing and Cost Advice →

  • "The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
  • "Users have to pay extra for premium-level technical support."
  • "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."
  • "I rate Microsoft Analytics Platform System a seven out of ten for pricing."
  • More Microsoft Analytics Platform System Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:Redshift Spectrum is the most valuable feature.
    Top Answer:We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services.
    Top Answer:It's not too confusing. It's based on features, and we don't have to buy additional licenses.
    Top Answer:We need better real-time analytics capabilities. It's a bit challenging for us. Moreover, there are some permission limitations.
    Ranking
    4th
    Views
    8,203
    Comparisons
    6,066
    Reviews
    23
    Average Words per Review
    480
    Rating
    7.7
    17th
    out of 34 in Data Warehouse
    Views
    323
    Comparisons
    240
    Reviews
    2
    Average Words per Review
    439
    Rating
    7.5
    Comparisons
    Also Known As
    Microsoft APS, MS Analytics Platform System
    Learn More
    Overview

    What is Amazon Redshift?

    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

    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.
    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
    Top Industries
    REVIEWERS
    Computer Software Company32%
    Comms Service Provider14%
    Manufacturing Company11%
    Retailer11%
    VISITORS READING REVIEWS
    Educational Organization50%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    VISITORS READING REVIEWS
    Financial Services Firm12%
    Computer Software Company11%
    University11%
    Energy/Utilities Company9%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise54%
    Large Enterprise36%
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise5%
    Large Enterprise73%
    Buyer's Guide
    Amazon Redshift vs. Microsoft Analytics Platform System
    March 2024
    Find out what your peers are saying about Amazon Redshift vs. Microsoft Analytics Platform System and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while Microsoft Analytics Platform System is ranked 17th in Data Warehouse with 9 reviews. Amazon Redshift is rated 7.8, while Microsoft Analytics Platform System is rated 6.6. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Microsoft Analytics Platform System writes "Offers smooth data integration between systems, but requires better real-time analytics capabilities". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Teradata, Vertica and Microsoft Azure Synapse Analytics, whereas Microsoft Analytics Platform System is most compared with Microsoft Azure Synapse Analytics, Teradata, IBM Netezza Performance Server and Snowflake. 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.