Microsoft Azure Synapse Analytics vs Oracle Big Data Appliance comparison

Microsoft and Oracle are both solutions in the Data Warehouse category. Additionally, 94% of Microsoft users are willing to recommend the solution, compared to 71% 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 Big Data Appliance

Read 5 Oracle Big Data Appliance reviews

381 Views
251 Comparison Views

71% willing to recommend

Microsoft Azure Synapse Ana...

Oracle Big Data Appliance

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Executive Summary

We performed a comparison between Microsoft Azure Synapse Analytics and Oracle Big Data Appliance based on real PeerSpot user reviews.

Find out in this report how the two 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 Big Data Appliance Report (Updated: April 2025).

Buyer's Guide

Microsoft Azure Synapse Analytics vs. Oracle Big Data Appliance

April 2025

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Helped 850,028 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 Big Data Appliance

Average Rating

8.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Data Warehouse (19th)

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,…

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Mohammed Hamad

AI & Data Engineering Lead at a tech services company with 10,001+ employees

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.

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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

"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."

"The most valuable feature of the solution is the analytics and that it can connect with Power BI."

"We use Azure Synapse Analytics in many different areas and industries, so I like that you can administrate and create pipelines for difference sources of data and later integrate and deploy it to other internal areas, such as separate dashboards for financials, and so on."

"The platform has multiple valuable use cases. They include performance, compatibility, flexibility, and cost."

"Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to."

"The solution can scale."

"The solution's best feature is its predictive analytics."

"The most important feature for me is the integration with PolyBase."

More Microsoft Azure Synapse Analytics pros

"This is a comprehensive solution that is easy to deploy."

"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."

"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

Cons

"The security performance and cost are the two things that needs improvement."

"One area that could be improved is the schema management."

"I am very sure that there are areas in need of improvement, but I can't recall what they are off the top of my head."

"I'm not entirely happy with the billing model. I'm not entirely happy with how the enterprise services are pretty expensive, but that's about it."

"The only concern for us is the cost part. When it comes to the implementation and the support and maintenance, we see high-cost implications."

"Microsoft Azure Synapse Analytics's pricing could be reduced."

"The initial setup is complex."

"We'd like the solution to have more analytics capability."

More Microsoft Azure Synapse Analytics cons

"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."

"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."

Pricing and Cost Advice

"My company pays for the license and I am not sure about the price."

"The pricing is okay. You can pay as you go."

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

"We normally pay between $300 and $500 per month, which is quite expensive for how much we actually use it, performance- and usage-wise. They have a cheap version and an expensive version, and our usage usually falls in the middle ground, which makes it not as cost-effective as it could be."

"The licensing fees for this solution are on a pay-per-use basis, and not very expensive."

"The pricing is competitive, but only when you pay upfront. If you pay as you go, it's not as competitive. I'd give pricing a rating of seven out of ten."

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

"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."

More Microsoft Azure Synapse Analytics pricing and cost advice

"Oracle's prices are too high compared to others in the market."

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850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Educational Organization

51%

Computer Software Company

Financial Services Firm

Manufacturing Company

Financial Services Firm

32%

Computer Software Company

15%

Government

11%

University

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...

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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.

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Comparisons

Oracle Autonomous Data Warehouse vs Microsoft Azure Synapse Analytics

Compared 16% of the time

SAP BW4HANA vs Microsoft Azure Synapse Analytics

Compared 13% of the time

Snowflake vs Microsoft Azure Synapse Analytics

Compared 13% of the time

Teradata vs Microsoft Azure Synapse Analytics

Compared 9% of the time

Amazon Redshift vs Microsoft Azure Synapse Analytics

Compared 7% of the time

More Microsoft Azure Synapse Analytics Competitors

Oracle Exadata vs Oracle Big Data Appliance

Compared 75% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 25% of the time

More Oracle Big Data Appliance Competitors

Product Reports

Buyer's Guide

Microsoft Azure Synapse Analytics

April 2025

Microsoft Azure Synapse Analytics report

Download Microsoft Azure Synapse Analytics product report

Buyer's Guide

Data Warehouse

April 2025

Download Oracle Big Data Appliance 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 Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, visit Oracle.com

Oracle

Sample Customers

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

Caixa Bank

Buyer's Guide

Microsoft Azure Synapse Analytics vs. Oracle Big Data Appliance

April 2025

Free Report: Microsoft Azure Synapse Analytics vs. Oracle Big Data Appliance

Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Oracle Big Data Appliance and other solutions. Updated: April 2025.

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