Microsoft Azure Synapse Analytics vs Oracle Exadata Express Cloud Service comparison

The compared Microsoft and Oracle solutions aren't in the same category. Microsoft is ranked #2 in CDW , with an average rating of 8.1, and holds a 6.5% mindshare in the category. Oracle is ranked #13 in DS , with an average rating of 8.5, and holds a 0.4% mindshare. Additionally, 94% of Microsoft users are willing to recommend the solution, compared to 85% of Oracle users who would recommend it.

Microsoft Azure Synapse Ana...

Read 92 Microsoft Azure Synapse Analytics reviews

7,013 Views
3,039 Comparison Views

94% willing to recommend

Oracle Exadata Express Clou...

Read 10 Oracle Exadata Express Cloud Service reviews

100 Views
67 Comparison Views

85% willing to recommend

Microsoft Azure Synapse Ana...

Oracle Exadata Express Clou...

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Microsoft Azure Synapse Analytics and Oracle Exadata Express Cloud Service based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Microsoft Azure Synapse Analytics vs. Oracle Exadata Express Cloud Service Report (Updated: April 2025).

Buyer's Guide

Microsoft Azure Synapse Analytics vs. Oracle Exadata Express Cloud Service

April 2025

Download the complete report

Helped 846,617 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 Azure Synapse Ana...

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Oracle Exadata Express Clou...

Average Rating

7.8

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (13th)

Mindshare comparison

Microsoft Azure Synapse Analytics and Oracle Exadata Express Cloud Service aren’t in the same category and serve different purposes. Microsoft Azure Synapse Analytics is designed for Cloud Data Warehouse and holds a mindshare of 6.5%, down 10.2% compared to last year.
Oracle Exadata Express Cloud Service, on the other hand, focuses on Database as a Service (DBaaS), holds 0.4% mindshare, down 0.4% since last year.

Cloud Data Warehouse

Database as a Service (DBaaS)

Featured Reviews

Renee Hoon

Data Platform Specialist at Sasol

Scalable performance tuning and optimization for finance and supply chain jobs

We run our finance and supply chain jobs using SQL BW, and we visualize our data loads on Power BI. We are using SQL Data Warehouse for data warehousing In terms of cost savings, we don't need specialization in skills as advanced as Teradata. We used to pay extensive licensing fees for Teradata,…

Read full review

Shrikant Navelkar

Director at Clover Infotech

Enhances performance without fine tuning databases

They need to simplify the monitoring of the Exadata services. They have to make it more simple for the users to operate or manage. And one more thing, I would expect that other databases of Oracle, like MySQL Enterprise Edition, if technologically, Oracle makes some advancement and allows MySQL Enterprise Edition to run on Exadata, I think that will improve their market share exponentially. Today, on Exadata, you run Oracle databases, which is given. Apart from that, Oracle also has Oracle MySQL database, open source. If that open-source database also runs on Exadata, I think that will help a lot of customers. In the next release, Oracle can provide a script-level solution to migrate or consolidate cross-platform databases from Unix platform to Oracle Exadata on Linux platform; if they can provide some migration tools, I think that will help.

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 features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."

"The speed is great and the architecture is excellent."

"The biggest benefits are scalability and ease of use when looking at performance tuning and optimization."

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

"The pricing seems to be quite fair."

"The solution operates like a typical SQL Server environment so there is no alienation in terms of technical knowledge."

"The fact that we can ingest from different types of sources, whether they are internal systems or external sources."

"The most valuable feature is the level of processing power, and being able to complete tasks in parallel."

More Microsoft Azure Synapse Analytics pros

"Having the prediction happen in the modular format allows you to start with a lower version of Exadata and then you can keep on upgrading it as per your requirement."

"The performance of the tool is valuable."

"It is a scalable product."

"In the cloud, Exadata is more scalable. The on-prem version was limited. It wasn't that scalable because it only came in a quarter rack, half rack, and full rack. In the cloud, it scales to what you need."

"I like that Oracle Exadata Express Cloud Service is easier to use and is a cost-saving solution because you won't need to hire people to run and maintain it."

"One of the most valuable parts of the solution is the high availability within the system and the performance enhancement without making any changes or fine-tuning the databases."

"The solution is very stable and offers great performance."

"I highly recommend Oracle Exadata Express Cloud Service as a very good solution if you can afford it."

Cons

"I wish the data governance feature could be incorporated without requiring an additional license."

"Synapse makes it easy to integrate and onboard data from other Microsoft and Azure sources. The interface is familiar because we were using Azure Data Factory before Synapse. It made the transition even easier because the Synapse interface is exactly the same."

"The major challenge that we're seeing with Azure Synapse is around security concerns. The way it is working right now, it has Managed VNet by Microsoft option, similar to the implementation of Azure Databricks, which may pose a concern for financial institutions. For managed environments, the banks have very strict policies around data being onboarded to those environments. For some confidential applications, the banks have the policy to encrypt it with their own key, so it is sort of like Bring Your Own Key, but it is not possible to manage the resources with Microsoft or Databricks, which is probably the major challenge with Azure Synapse. There should be more compatibility with SQL Server. It should be easier to migrate solutions between different environments because right now, it is not really competitive. It is not like you can go and install SQL Database in some other environment. You will have to go through some migration projects, which probably is one of the major showstoppers for any bank. When they consider Synapse, they not only consider the investment in the actual service; they also consider the cost of the migration process. When you scale out or scale down your system, it becomes unavailable for a few minutes. Because it is a data warehouse environment, it is not such a huge deal, but it would be great if they can improve it so that the platform is available during the change of configuration."

"It would be ideal if the solution could be better used intuitively by the staff without having a great deal of training."

"Synapse Analytics' performance slows down if you don't get your distribution right because it gets queued and goes into a single node."

"Scaling this solution up and down is not quick and easy. This could be improved. The pricing of this solution could also be improved."

"The product could be more feature-rich."

"Non-structured data is unavailable with this product."

More Microsoft Azure Synapse Analytics cons

"The only downside is the difficulty in monitoring, and that's why I would like to implement MySQL database."

"We use artificial intelligence for deep learning, and it would be a huge benefit to implement this in Oracle Exadata."

"The product's installation process needs improvement. It could be more accessible."

"The support must be faster."

"Scaling Oracle Exadata Express Cloud Service can be done, but the process is a little tedious, which could be an area for improvement in the solution."

"The customer's default choice is the on-premise version of this solution. Only when Oracle or the partners like us, can explain to customers the cloud value proposition, and if the compliance authorities allow, they can look into this cloud solution. It will take some time for Oracle to change its perception of customers' de-facto standards. Exadata used to be treated as a black box, which is not the case now. The customer is aware of what is happening inside, how the configurations have been made, and what patching has been applied. Oracle needs to market the cloud version better."

"The solution's pricing could be improved."

"Oracle's support could be better."

Pricing and Cost Advice

"There is a cost calculator available online that allows you to input your entire scenario, and it will get back to you with information on what the costs are going to be."

"The solution is very expensive because it often requires the purchase of additional storage."

"We have a licensing cost to pay."

"Its price could be better. It was a school project, and I got it for free. If I try to pay through my company, it is a little bit more expensive as compared to Oracle."

"This is a cost-effective product."

"We are on a monthly payment plan for the use of Microsoft Azure Synapse Analytics."

"The price of the package not expensive and depends on how much it is used."

"Our license is very expensive"

More Microsoft Azure Synapse Analytics pricing and cost advice

"The tool is not cheap, but it is not really expensive."

"The price of this solution is very comparative to others on the market. There is no direct comparison between this solution and with something else because I do not see any other similar product."

"I think Oracle pricing is usually above average market price."

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

846,617 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Educational Organization

52%

Computer Software Company

Manufacturing Company

Financial Services Firm

No data available

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?

We use an enterprise-level subscription for Microsoft Azure Synapse Analytics. I would rate our satisfaction with the price around five, as I have not focused much on cost aspects presently.

See all answers

What do you like most about Oracle Exadata Express Cloud Service?

The performance of the tool is valuable.

See all answers

What is your experience regarding pricing and costs for Oracle Exadata Express Cloud Service?

Oracle Exadata Express Cloud Service is a very expensive database solution. The cost is high due to on-premise licenses. However, it offers a premium solution without issues or problems.

See all answers

What needs improvement with Oracle Exadata Express Cloud Service?

I am not the perfect person to discuss improvements needed because I am not responsible for the database. I use it as a developer, and everything works fine for me. However, there might be others i...

See all answers

Comparisons

SAP BW4HANA vs Microsoft Azure Synapse Analytics

Compared 16% of the time

Oracle Autonomous Data Warehouse vs Microsoft Azure Synapse Analytics

Compared 14% of the time

Snowflake vs Microsoft Azure Synapse Analytics

Compared 12% of the time

Teradata vs Microsoft Azure Synapse Analytics

Compared 9% of the time

Azure Data Factory vs Microsoft Azure Synapse Analytics

Compared 8% of the time

More Microsoft Azure Synapse Analytics Competitors

No data available

Product Reports

Buyer's Guide

Microsoft Azure Synapse Analytics

March 2025

Microsoft Azure Synapse Analytics report

Download Microsoft Azure Synapse Analytics product report

Buyer's Guide

Oracle Exadata Express Cloud Service

March 2025

Oracle Exadata Express Cloud Service report

Download Oracle Exadata Express Cloud Service product report

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 Database Exadata Express Cloud Service delivers a managed Oracle Database 12c Release 2 Enterprise Edition with options, running on Oracle Exadata engineered systems – all at a highly affordable entry-level price. It is a full Oracle Database experience, compatible with what you get on-premises or in other Oracle Database Cloud Services, provisioned within minutes, and suitable for small to medium sized data.

Oracle

Sample Customers

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

TAFEL LEIPZIG, AS ONE

Buyer's Guide

Microsoft Azure Synapse Analytics vs. Oracle Exadata Express Cloud Service

April 2025

Free Report: Microsoft Azure Synapse Analytics vs. Oracle Exadata Express Cloud Service

Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Oracle Exadata Express Cloud Service and other solutions. Updated: April 2025.

DOWNLOAD NOW

846,617 professionals have used our research since 2012.

See our Microsoft Azure Synapse Analytics vs. Oracle Exadata Express Cloud Service report.

We monitor all Cloud 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.