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Microsoft Azure Synapse Analytics vs Oracle Big Data Appliance comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.8
Reviews Sentiment
6.9
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (5th)
Oracle Big Data Appliance
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
6
Ranking in other categories
Data Warehouse (13th)
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Has supported data pipeline development but still requires better integration and support
The best feature of Microsoft Azure Synapse Analytics is the notebook functionality; it provides a very good interface, and we can easily do our experiments, POCs, and check things before migration or deployment to higher environments such as from development to SIT and then production. The deployment process is also much smoother. Driving data-driven insights in my organization depends upon the preparation of the data. If your data is not good, then insights won't be good, and Microsoft Azure Synapse Analytics helps in preparing your data, so it is very helpful. I find Microsoft Azure Synapse Analytics' native data lake support beneficial.
Mohammed Hamad - PeerSpot reviewer
Provides clean, centralized data
From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data Appliance by having one technology on their stack and working on it instead of continually changing the name or technologies or features. In addition, they could have a program to enable their partners to use this technology because right now, I have to have an expert to use the AI elements.

Quotes from Members

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

Pros

"The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services."
"I like SQL post, which is for storage and distributed computing. Another good feature is the copy activity."
"The best thing about it is that it has integration at multiple places. It can talk to more than 90 types of data sources, which is one good thing about it."
"The ability to scale out services on-demand and scale them down when they are not required is most valuable. You are in control of your expenditures, and you are also in control of the horsepower that you need. That's a major advantage."
"The most valuable feature of Microsoft Azure Synapse Analytics is its integration with the new legacy systems. Whatever application we want to integrate, we receive the reports based on the objects. The solution is easy to purchase from the cloud."
"It's user-friendly and has a good dashboard."
"The platform has multiple valuable use cases. They include performance, compatibility, flexibility, and cost."
"I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements. It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works."
"This is a comprehensive solution that is easy to deploy."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
 

Cons

"The performance and data consistency need to be improved."
"Microsoft should develop an interface to make it easier to shift from on-premise to the cloud."
"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."
"The initial setup has a bit of a learning curve."
"It would be ideal if the solution could be better used intuitively by the staff without having a great deal of training."
"Synapse Analytics needs to develop an automation framework because now you have to build a cache yourself. You have to build a pipeline in WhereScape, which does end-to-end pipeline automation well. Microsoft should come up with a framework to save people time. If they developed a tool like WhereScape, it would dramatically reduce development time."
"Unfortunately, we have had some issues with the dashboard reporting. Sometimes, the data for specific periods would just appear blank on the dashboard. To investigate this, we worked with a Microsoft incident agent and it turned out to be a result of bugs in the platform when dealing with specific types of queries in Azure Data Factory."
"In our company, we always want to improve our data management, including how to manage structured and unstructured data."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"The product should be simplified for the average user."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
 

Pricing and Cost Advice

"This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version."
"I think Microsoft Azure Synapse Analytics is priced well, and I would rate the price at eight out of ten."
"The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
"The cost of the solution depends on the type of license we choose, such as pay-as-you-go, one-year reserve, or three-year reserve."
"We only have to pay for what we use in the solution. It's easy for the customers. It's not more than some companies, not more than 300 to 400 users. They do not need to buy other license products, such as SAP B1, or analytics tools in the market, such as Tableau."
"The pricing is quite reasonable in comparison to other products."
"Microsoft's pricing is relatively high, and it varies according to the extent of our usage. The pricing is directly tied to our consumption. This decision is ultimately a business choice."
"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."
"Oracle's prices are too high compared to others in the market."
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
Government
8%
Financial Services Firm
8%
Computer Software Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise18
Large Enterprise54
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise6
 

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...
What do you like most about Microsoft Azure Synapse Analytics?
The product is easy to use, and anybody can easily migrate to advanced DB.
What is your experience regarding pricing and costs for Microsoft Azure Synapse Analytics?
I think the price of Microsoft Azure Synapse Analytics is very expensive, but that's not only for Microsoft Azure Synapse Analytics—it's for the cloud in general. The cloud is not cost-effective. I...
What needs improvement with Oracle Big Data Appliance?
Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less th...
What is your primary use case for Oracle Big Data Appliance?
The typical use case for Oracle Big Data Appliance, which my clients use, is usually that the customer who has an Oracle application uses it because they can leverage the storage part. I don't need...
 

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

 

Sample Customers

Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Caixa Bank
Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Oracle Big Data Appliance and other solutions. Updated: August 2025.
867,497 professionals have used our research since 2012.