Microsoft Analytics Platform System vs Oracle Autonomous Data Warehouse comparison

Microsoft Analytics Platform System vs. Oracle Autonomous Data Warehouse

Download the complete report

Helped 869,566 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

Microsoft Analytics Platfor...

Average Rating

6.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Warehouse (17th)

Oracle Autonomous Data Ware...

Average Rating

8.4

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (12th)

Featured Reviews

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

Kwajah Mohiuddin

Global Head of Architecture at a financial services firm with 1,001-5,000 employees

Provides self-repair features, but the setup is complex

We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…

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

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

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

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

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

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

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

"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."

"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."

"One advantage is that if you already have an Oracle Database, it easily integrates with that."

"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."

"With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it."

"The analytics have been very good. We've found them to be quite useful."

"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."

"Self-patching and runs machine-learning across its logs all the time"

"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."

More Oracle Autonomous Data Warehouse pros

Cons

"Hybrid environments are complex to manage."

"Microsoft Analytics Platform System could have better support."

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

"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."

"The pricing model needs to be improved."

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

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

More Microsoft Analytics Platform System cons

"They should make the solution more user-friendly."

"The solution lacks visibility options."

"The installation process is complex. Oracle can make the installation process better."

"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."

"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."

"Oracle Autonomous Data Warehouse is not available as an on-premises solution."

"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."

"Ease of connectivity could be improved."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"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."

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

"The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."

"We pay approximately $70,000 per month. The cost includes maintenance and support."

"ROI is high."

"The solution's cost is reasonable."

"You pay as you go, and you don't pay for services that you don't use."

"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."

"The cost is perfect with Oracle Universal credit."

"The price depends on the configuration we choose."

More Oracle Autonomous Data Warehouse pricing and cost advice

See which vendors are best for you

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

See recommendations

869,566 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

10%

Manufacturing Company

University

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	11

Questions from the Community

What do you like most about Microsoft Analytics Platform System?

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

What is your experience regarding pricing and costs for Microsoft Analytics Platform System?

It's not too confusing. It's based on features, and we don't have to buy additional licenses.

What needs improvement with Microsoft Analytics Platform System?

We need better real-time analytics capabilities. It's a bit challenging for us. Moreover, there are some permission limitations.

What do you like most about Oracle Autonomous Data Warehouse?

With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main...

What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?

We pay approximately $70,000 per month. The cost includes maintenance and support.

What needs improvement with Oracle Autonomous Data Warehouse?

Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.

Microsoft Azure Synapse Analytics vs Microsoft Analytics Platform System

Comparisons

Compared 40% of the time

Teradata vs Microsoft Analytics Platform System

Compared 25% of the time

Treasure Data vs Microsoft Analytics Platform System

Compared 18% of the time

IBM Netezza Performance Server vs Microsoft Analytics Platform System

Compared 17% of the time

More Microsoft Analytics Platform System Competitors

BigQuery vs Oracle Autonomous Data Warehouse

Compared 30% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 20% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 13% of the time

Oracle Exadata vs Oracle Autonomous Data Warehouse

Compared 10% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 9% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Microsoft Analytics Platform System

Download Microsoft Analytics Platform System product report

Microsoft Analytics Platform System report

Oracle Autonomous Data Warehouse

Download Oracle Autonomous Data Warehouse product report

Also Known As

Microsoft APS, MS Analytics Platform System

No data available

Overview

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

Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.

Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.

Oracle

Sample Customers

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

Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank

Microsoft Analytics Platform System vs. Oracle Autonomous Data Warehouse