Compare Amazon Redshift vs. Microsoft Analytics Platform System

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Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: January 2021.
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Quotes From Members

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

Pros
"It allows you write complex queries and perform row by row processes.""It allows for the storage of huge amounts of data.""The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.""The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.""The initial setup of this solution is straightforward.""The product is relatively easy to use because there is no indexing and no partitions.""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.""The processing of data is very fast."

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"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model.""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.""This is a well-integrated solution and that integration empowers results."

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Cons
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations.""Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.""The speed of the solution and its portability needs improvement.""Running parallel queries results in poor performance and this needs to be improved.""The product could be improved by making it more flexible.""Pricing is one of the things that it could improve. It should be more competitive.""It would be useful to have an option where all of the data can be queried at once and then have the result shown.""It takes a lot of time to ingest and update the data."

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"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps.""Functionality needs to be more up-to-date with competing products.""The pricing model needs to be improved.""Machine learning and artificial intelligence capabilities need to be more friendly for beginning users.""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."

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Pricing and Cost Advice
"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.""My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD.""At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."

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"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."

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Top Answer: I like that it's integrated with other Azure products.
Top Answer: Besides the standard licensing users have to pay additional fees for technical support. The default support I think is just the same as with other products and it has become industry standard to be… more »
Top Answer: I think the biggest problem with the product is that it does a data ingest model, which is very expensive.
Ranking
3rd
Views
13,842
Comparisons
9,814
Reviews
11
Average Words per Review
483
Rating
7.6
15th
out of 30 in Data Warehouse
Views
880
Comparisons
492
Reviews
4
Average Words per Review
839
Rating
6.3
Popular Comparisons
Compared 20% of the time.
Compared 14% of the time.
Compared 12% of the time.
Also Known As
Microsoft APS
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Amazon
Microsoft
Overview

Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.

Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.

Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.

As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.

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.
Offer
Learn more about Amazon Redshift
Learn more about Microsoft Analytics Platform System
Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
Top Industries
REVIEWERS
Comms Service Provider36%
Logistics Company18%
Manufacturing Company9%
Retailer9%
VISITORS READING REVIEWS
Computer Software Company35%
Media Company15%
Comms Service Provider11%
Financial Services Firm5%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider19%
Media Company15%
Financial Services Firm6%
Company Size
REVIEWERS
Small Business25%
Midsize Enterprise43%
Large Enterprise32%
REVIEWERS
Small Business38%
Large Enterprise63%
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: January 2021.
457,459 professionals have used our research since 2012.

Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 11 reviews while Microsoft Analytics Platform System is ranked 15th in Data Warehouse with 4 reviews. Amazon Redshift is rated 7.6, while Microsoft Analytics Platform System is rated 6.2. The top reviewer of Amazon Redshift writes "Scales according to our needs, which saves a lot in terms of upfront costs". On the other hand, the top reviewer of Microsoft Analytics Platform System writes "Has unique functionality for advanced analytics but could use enhancement in machine learning and AI features". Amazon Redshift is most compared with Snowflake, Oracle Exadata, Microsoft Azure Synapse Analytics, Teradata and Oracle Autonomous Data Warehouse, whereas Microsoft Analytics Platform System is most compared with Microsoft Azure Synapse Analytics, Microsoft Parallel Data Warehouse, Apache Hadoop, Oracle Exadata and VMware Tanzu Greenplum.

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