Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse comparison

Microsoft and Oracle are both solutions in the Cloud Data Warehouse category. Microsoft is ranked #2 with an average rating of 8.2, while Oracle is ranked #11 with an average rating of 8.4. Microsoft holds a 6.9% mindshare in CDW, compared to Oracle’s 4.6% mindshare. Additionally, 94% of Microsoft users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Microsoft Azure Synapse Ana...

Read 91 Microsoft Azure Synapse Analytics reviews

8,714 Views
3,808 Comparison Views

94% willing to recommend

Oracle Autonomous Data Ware...

Read 18 Oracle Autonomous Data Warehouse reviews

2,375 Views
1,535 Comparison Views

100% willing to recommend

Microsoft Azure Synapse Ana...

Oracle Autonomous Data Ware...

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Executive SummaryUpdated on Dec 18, 2024

Microsoft Azure Synapse Analytics and Oracle Autonomous Data Warehouse are top contenders in the cloud data warehousing category. Oracle seems to have the upper hand with superior automation and performance features highlighted in the comparisons.

Features: Microsoft Azure Synapse Analytics is noted for its flexibility, ease of administration, and integration with Power BI. Its MPP architecture supports large-scale data processing and modern tool integration. Oracle Autonomous Data Warehouse offers self-securing, self-patching, and self-tuning capabilities, leveraging automation for tasks like indexing and adaptation. Users appreciate its scalability and Exadata-based performance.

Room for Improvement: Microsoft Azure Synapse Analytics could enhance pricing transparency, Active Directory integration, and user interfaces for non-technical users. It would benefit from Data Factory and governance improvements. Oracle Autonomous Data Warehouse should focus on improving user-friendliness, GoldenGate integration, and unstructured data handling. There's also a need for flexible pricing and better on-premises migration functionalities.

Ease of Deployment and Customer Service: Microsoft Azure Synapse Analytics is utilized in public, private, and hybrid clouds, with mixed reviews on customer service, though generally responsive. Larger customers tend to receive superior support. Oracle Autonomous Data Warehouse is praised for its technical support, known for quick responses and proactive updates. While Microsoft benefits from a broad ecosystem, Oracle offers consistent and localized support.

Pricing and ROI: Both solutions use a pay-as-you-go model. Oracle's pricing is CPU-based, allowing easy scaling, although generally higher, justified by advanced features. Azure pricing varies, with some users finding it cost-effective but unpredictable. Oracle emphasizes performance and strategic cost savings despite higher costs, while Microsoft offers flexible deployment, appealing to Azure ecosystem users.

To learn more, read our detailed Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse Report (Updated: January 2025).

Buyer's Guide

Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse

January 2025

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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 Azure Synapse Ana...

Ranking in Cloud Data Warehouse

2nd

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

11th

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2025, in the Cloud Data Warehouse category, the mindshare of Microsoft Azure Synapse Analytics is 6.9%, down from 11.0% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 4.6%, up from 3.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

Matthew Spieth

Senior Database Administrator at Summa Health System

Beneficial real-time analytics, simple setup, and useful tutorials

Microsoft Azure Synapse Analytics could improve its compatibility with Visual Studio. One of the challenges for people moving from an on-premise to a cloud solution, such as Microsoft Azure Synapse Analytics, is that you're constantly working in a browser. There are people that have been working for decades on desktop applications. For them to start working in a browser, it's quite a change. Allowing people to work and do their work inside Visual Studio than in the browser, would be a large advantage.

Read full review

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.

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 solution's best feature is its predictive analytics."

"The most valuable features are the flexibility and that it's easy to use as an end-user compared to AWS."

"The solution has been working well overall."

"I love the way all the application resources from Microsoft can synchronize, help me with a lot of stuff, and reduce the time or hour of having maybe a resource for an hour a day while also being able to use artificial intelligence."

"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range."

"One central workspace to manage everything for your data warehouse including visualization."

"Can capture all the transactional data throughout a company."

"The most valuable features of Microsoft Azure Synapse Analytics are the interface and the agility of the on-cloud platform."

More Microsoft Azure Synapse Analytics pros

"The solution integrates well with Power BI."

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

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

"The product is easy to use."

"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."

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

"It is a stable and scalable solution."

More Oracle Autonomous Data Warehouse pros

Cons

"With respect to what needs to be improved, concurrent connectivity has some limitations."

"The solution does not support oriented scaling in the synapse."

"I am pretty sure that there are areas that need improvement but I just can think of them off the top of my head."

"In our company, we always want to improve our data management, including how to manage structured and unstructured data."

"The initial setup process needs improvement. When you're moving to the cloud it takes a bit of time. It would be great if they could implement something that would make it faster."

"Microsoft Azure Synapse Analytics can improve by adding more flexibility to the reports. Having more visible structures based on the area, region and country would be beneficial."

"Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple interface, or perhaps an extension of a connector app store solution, would be helpful."

"The macro functions, though useful, are not totally user-friendly. Some people have difficulties in learning them."

More Microsoft Azure Synapse Analytics cons

"Ease of connectivity could be improved."

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

"A lot of the tools that were previously there have now been taken away."

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

"The setup is complex."

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

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

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

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"It's very difficult to price unless you know exactly how the customer is using it."

"The computer and storage costs are totally separate which allows you to work independently or manage costs."

"When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage."

"The solution is expensive at the enterprise level."

"Very costly solution and other products are available for less."

"This is an expensive solution."

"The costs are billed such that we pay for what we use, which is a good thing."

"This is a cost-effective product."

More Microsoft Azure Synapse Analytics pricing and cost advice

"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 solution's cost is reasonable."

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

"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."

"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."

"The solution is expensive."

"ROI is high."

"The cost is perfect with Oracle Universal credit."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

51%

Financial Services Firm

Computer Software Company

Manufacturing Company

Educational Organization

52%

Financial Services Firm

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 Microsoft Azure Synapse Analytics?

The product is easy to use, and anybody can easily migrate to advanced DB.

See all answers

What is your experience regarding pricing and costs for Microsoft Azure Synapse Analytics?

The financial aspect, including pricing and cost reduction, is not something I focus on.

See all answers

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...

See all answers

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

The solution is expensive. I rate the price an eight out of ten.

See all answers

What needs improvement with Oracle Autonomous Data Warehouse?

The setup is complex. Oracle is a complex tool.

See all answers

Comparisons

SAP BW4HANA vs Microsoft Azure Synapse Analytics

Compared 18% of the time

Teradata vs Microsoft Azure Synapse Analytics

Compared 10% of the time

Snowflake vs Microsoft Azure Synapse Analytics

Compared 10% of the time

Azure Data Factory vs Microsoft Azure Synapse Analytics

Compared 9% of the time

AWS Lake Formation vs Microsoft Azure Synapse Analytics

Compared 8% of the time

More Microsoft Azure Synapse Analytics Competitors

Snowflake vs Oracle Autonomous Data Warehouse

Compared 23% of the time

Oracle Exadata vs Oracle Autonomous Data Warehouse

Compared 22% of the time

BigQuery vs Oracle Autonomous Data Warehouse

Compared 19% of the time

Amazon Redshift vs Oracle Autonomous Data Warehouse

Compared 3% of the time

Apache Hadoop vs Oracle Autonomous Data Warehouse

Compared 3% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

Microsoft Azure Synapse Analytics

February 2025

Microsoft Azure Synapse Analytics report

Download Microsoft Azure Synapse Analytics product report

Buyer's Guide

Oracle Autonomous Data Warehouse

February 2025

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Also Known As

Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics

No data available

Overview

Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.

Microsoft Azure Synapse Analytics is built with these 4 components:

Synapse SQL
Spark
Synapse Pipeline
Studio

Microsoft Azure Synapse Analytics Features

Microsoft Azure Synapse Analytics has many valuable key features, including:

Cloud Data Service: WIth Microsoft Azure Synapse Analytics you can operate services (data analytics, machine learning, data warehousing, dashboarding, etc.) in a single workspace via the cloud.
Structured and unstructured data: Microsoft Azure Synapse Analytics supports both structured and unstructured data and allows you to manage relational and non-relational data - unlike data warehouses and lakes that tend to store them respectively.
Effective data storage: Microsoft Azure Synapse Analytics offers next-level data storage with high availability and different tiers.
Responsive data engine: Microsoft Azure Synapse Analytics uses Massive Parallel Processing (MPP) and is designed to handle large volumes of data and analytical workloads efficiently without any problems.
Several scripting languages: The solution provides language compatibility and supports different programming languages, such as Python, Java, Spark SQL, and Scala.
Query optimization: Microsoft Azure Synapse Analytics works well to facilitate limitless concurrency and performance optimization. It also simplifies workload management.

Microsoft Azure Synapse Analytics Benefits

Some of the benefits of using Microsoft Azure Synapse Analytics include:

Database templates: Microsoft Azure Synapse Analytics offers industry-specific database templates that make it easy to combine and shape data.
Better business insights: With Microsoft Azure Synapse Analytics you can expand discovery of insights from all your data and apply machine learning models to all your intelligent apps.
Reduce project development time: Microsoft Azure Synapse Analytics makes it possible to have a unified experience for developing end-to-end analytics, which reduces project development time significantly.
Eliminate data barriers: By using Microsoft Azure Synapse Analytics, you can perform analytics on operational and business apps data without data movement.
Advanced security: Microsoft Azure Synapse Analytics provides both advanced security and privacy features to ensure data protection.
Machine Learning: Microsoft Azure Synapse Analytics integrates Azure Machine Learning, Azure Cognitive Services, and Power BI.

Reviews from Real Users

Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.

PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."

Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."

A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."

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

Toshiba, Carnival, LG Electronics, Jet.com, Adobe,

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

Buyer's Guide

Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse

January 2025

Free Report: Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse

Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse and other solutions. Updated: January 2025.

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