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 #9 with an average rating of 8.4. Microsoft holds a 9.1% mindshare in CDW, compared to Oracle’s 6.1% 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 90 Microsoft Azure Synapse Analytics reviews

11,528 Views
5,041 Comparison Views

94% willing to recommend

Oracle Autonomous Data Ware...

Read 18 Oracle Autonomous Data Warehouse reviews

2,621 Views
1,752 Comparison Views

100% willing to recommend

Microsoft Azure Synapse Ana...

Oracle Autonomous Data Ware...

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Executive Summary

We performed a comparison between Microsoft Azure Synapse Analytics and Oracle Autonomous Data Warehouse 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 Autonomous Data Warehouse Report (Updated: October 2024).

Buyer's Guide

Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse

October 2024

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Helped 816,406 peers since 2012

Categories and Ranking

Microsoft Azure Synapse Ana...

Ranking in Cloud Data Warehouse

2nd

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

9th

Average Rating

8.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Cloud Data Warehouse category, the mindshare of Microsoft Azure Synapse Analytics is 9.1%, down from 14.5% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 6.1%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

Sunil Gidwani

Cloud Solution Development Manager at Stryker Corporation

No competitors provide the entire solution to one place

I rate Azure Synapse Analytics eight out of 10. No competitors provide the entire solution to one place like Synapse. For example, a database just focuses moving and manipulating data, etc. But Synapse is like an all-inclusive workspace. I advise other people to go with Databricks Notebook if you need a computation engine. It has a solid SQL storage procedure. Suppose you are dealing with complex transformation logic and manipulation of run-time data flows. In that case, it's better to use Databricks than any Microsoft ADF. DataBricks looks more promising in terms of computing in memory, so we integrated Databricks in Synapse.

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Kwajah Mohiuddin

Global Head of Architecture at a financial services firm with 1,001-5,000 employees

Provides self-repair features, but the setup is complex

We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…

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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

"The stability is pretty good."

"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."

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

"The solution can scale."

"I have been working with Microsoft, and they have been very helpful."

"The pricing seems to be quite fair."

"The product is very user friendly."

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

More Microsoft Azure Synapse Analytics pros

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

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

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

"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."

"The product has self-repair features."

"One advantage is that if you already have an Oracle Database, it easily integrates with that."

"The solution integrates well with Power BI."

"It is a stable and scalable solution."

More Oracle Autonomous Data Warehouse pros

Cons

"Microsoft should develop an interface to make it easier to shift from on-premise to the cloud."

"The only issue that we have run into with the solutions performance is with regards to concurrency."

"It could be more stable."

"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."

"It's stable, but its stability could be better. However, we understand that it's in production, and new features are getting added and upgraded, so you do get hiccups sometimes."

"This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market."

"In the future, Microsoft Azure Synapse Analytics could improve the performance, there are other solutions that are better, such as Databricks."

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

More Microsoft Azure Synapse Analytics cons

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

"There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it."

"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."

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

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

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

"The solution lacks visibility options."

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

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"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."

"You have to be very careful with one specific service inside Microsoft Azure Synapse Analytics which is called the Sequel Data Warehouse Dedicated. It is very reliable and performs well, but it's expensive. You need to define the tier well because you can choose between several tiers and you have to define which suits your needs and not overperform the tier because it's quite expensive."

"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."

"The solution is subscription-based. You can also pay to use the product as you go."

"Pay for what you use"

"This is an expensive solution."

"They are cost aggressive, and it integrates well with other Microsoft tools."

More Microsoft Azure Synapse Analytics pricing and cost advice

"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."

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

"ROI is high."

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

"The solution's cost is reasonable."

"The price depends on the configuration we choose."

"The solution is expensive."

"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."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

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816,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Educational Organization

44%

Computer Software Company

Financial Services Firm

Manufacturing Company

Educational Organization

49%

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...

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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?

The cost is reasonable for our company. There is no license cost; we pay only for Azure Compute's costs. It is important to manage the cost efficiently on a daily basis.

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 17% of the time

Snowflake vs Microsoft Azure Synapse Analytics

Compared 12% of the time

Azure Data Factory vs Microsoft Azure Synapse Analytics

Compared 11% of the time

Teradata vs Microsoft Azure Synapse Analytics

Compared 10% of the time

Amazon Redshift vs Microsoft Azure Synapse Analytics

Compared 8% of the time

More Microsoft Azure Synapse Analytics Competitors

Snowflake vs Oracle Autonomous Data Warehouse

Compared 32% of the time

Oracle Exadata vs Oracle Autonomous Data Warehouse

Compared 21% of the time

BigQuery vs Oracle Autonomous Data Warehouse

Compared 16% of the time

Amazon Redshift vs Oracle Autonomous Data Warehouse

Compared 3% of the time

Vertica vs Oracle Autonomous Data Warehouse

Compared 2% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

Microsoft Azure Synapse Analytics

November 2024

Microsoft Azure Synapse Analytics report

Download Microsoft Azure Synapse Analytics product report

Buyer's Guide

Oracle Autonomous Data Warehouse

November 2024

Download Oracle Autonomous Data Warehouse 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

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Microsoft

Oracle

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."

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.

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

October 2024

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: October 2024.

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