Microsoft Analytics Platform System vs Oracle Autonomous Data Warehouse comparison

Microsoft Analytics Platform System vs. Oracle Autonomous Data Warehouse

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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 (10th)

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.

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Miodrag Milojevic

Senior Data Archirect at Yettel

A tool for data warehousing that offers scalability, stability, and ease of setup

The initial setup of Oracle Autonomous Data Warehouse is easy and basic, especially if one doesn't use the tricks to get Oracle Exadata for use. One doesn't need to know or be involved in technical stuff to do the setup since, at the least, knowledge might be required when working with some external connections, but it is easy because everything can be done within a couple of clicks. The solution is deployed on the cloud. For deployment, you don't need any technical guidance since you can sit, find it on the web, and prepare an Oracle Autonomous Data Warehouse platform by yourself for free for a limited time. The people needed for the deployment and maintenance depend on the implementation one wants. If you do a simple implementation, you don't need anybody for maintenance since everything is on the cloud. You only have to schedule your backup or see if Oracle can schedule a backup, and you don't take care of the backup. For some more sophisticated or technical implementations, you will need staff for some data warehouse except for some parts of the maintenance like backup, patches, or upgrades since these are a few things you take care of in the background, and you only seek help with the maintenance part, if needed.

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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

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

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

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

"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."

"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."

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

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

"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."

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

"A very good integration feature that restricts access to unauthorized people."

"It is a stable and scalable solution."

"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."

"The solution is used for analytics and it works for our data security needs."

More Oracle Autonomous Data Warehouse pros

Cons

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

"Microsoft Analytics Platform System could have better support."

"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."

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

"The pricing model needs to be improved."

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

"Hybrid environments are complex to manage."

More Microsoft Analytics Platform System cons

"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."

"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."

"I would like to see an on-premise solution in the future."

"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."

"We are not satisfied with the technical support. Their understanding is lacking."

"The initial setup was pretty complex. It was not easy."

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

"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."

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

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

"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."

"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."

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

"The solution's cost is reasonable."

"The price depends on the configuration we choose."

"Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."

"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."

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

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Educational Organization

42%

Financial Services Firm

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

Teradata vs Microsoft Analytics Platform System

Comparisons

Compared 55% of the time

Microsoft Azure Synapse Analytics vs Microsoft Analytics Platform System

Compared 45% of the time

More Microsoft Analytics Platform System Competitors

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 21% of the time

BigQuery vs Oracle Autonomous Data Warehouse

Compared 19% of the time

Oracle Exadata vs Oracle Autonomous Data Warehouse

Compared 19% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

Amazon Redshift vs Oracle Autonomous Data Warehouse

Compared 4% 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