Amazon Redshift vs Oracle Autonomous Data Warehouse comparison

Amazon Redshift vs. Oracle Autonomous Data Warehouse

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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

Amazon Redshift

Ranking in Cloud Data Warehouse

8th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (7th), Database Management Systems (DBMS) (8th)

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

13th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.1%, down from 7.5% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 4.3%, down from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Amazon Redshift	7.1%
Oracle Autonomous Data Warehouse	4.3%
Other	88.6%

Cloud Data Warehouse

Featured Reviews

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

Optimized restaurant analytics has driven faster insights and streamlined daily reporting

Amazon Redshift offers massive parallel processing capability, allowing it to handle millions of records, along with integration with other AWS features such as S3 and QuickSight. The column-level storage supports high performance and easy data retrieval compared to other tools. The integration with S3 has helped my team immensely since S3 is our starting source, and the direct integration with Amazon Redshift simplifies the transformation and loading process. Columnar storage has benefited our performance significantly, allowing us to extract specific rows from tables with years of data much faster than other tools with row-level storage. Amazon Redshift has positively impacted our organization by significantly improving query performance and speed. Features such as easy integration with S3 allow us to process millions of records efficiently, ultimately saving us nearly one hour per day for our project.

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reviewer1297710

IT Administrator at a manufacturing company with 1,001-5,000 employees

Analytics and data security needs are met but optimization requires improvement

We are using Oracle Autonomous Data Warehouse for analytics in my company The solution is used for analytics and it works for our data security needs. We continue to use it with satisfaction. Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not…

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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

"We like that the solution is a scalable, column-store database."

"In terms of valuable features, I like the columnar storage that Redshift provides, and the storage is one of the key features that we're looking for, along with the data updates and the latency between the data-refreshes."

"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."

"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."

"With the tools we have, Amazon Redshift has the features to query efficiently."

"With Amazon Redshift, we gained a lot in terms of timing, as well as project completion."

"The most valuable feature is the scalability, as it grows according to our needs."

"Now, we are able to spin up some clusters and then start using it, allowing us to incrementally pay as we expand."

More Amazon Redshift pros

"I highly recommend it for companies who want to test their application functionality, dev, or test DBs for cost optimization."

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

"I like the fact that the solution is self-patching, that it's running machine-learning generally across its logs all the time in order to identify any issues and to self-repair."

"It is a stable and scalable solution."

"The autonomous database provides several benefits and unmatched performance."

"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."

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

"The product is easy to use."

More Oracle Autonomous Data Warehouse pros

Cons

"Pricing is one of the concerns that I have because if you compare Snowflake with Redshift, it provides some of the same services, but at a much cheaper rate."

"There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments."

"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."

"There are too many limitations with respect to concurrency."

"What would make Amazon Redshift better is improvising on the pricing structure. For example, Acronis provides backups in cybersecurity, yet the pricing is a bit lesser than Amazon Redshift."

"Amazon Redshift is a little more expensive than other products."

"Sometimes, it's difficult to get the metadata from Redshift."

"Integrating database security/access rights with AWS IAM would be great."

More Amazon Redshift cons

"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."

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

"One of the major problem is creating custom tablespace."

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

"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."

"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."

"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."

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

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"The cost must be improved."

"The solution is available at a mid-range price compared to other vendors."

"It's not very pricey compared to other tools. I would rate the price as 5 out of 10."

"The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."

"Pricing for Amazon Redshift is reasonable, though it could be somewhat higher than other solutions, such as Azure. Still, when you base your comparison on the services offered and the pricing, it's the most reasonable versus its competitors, such as RDS."

"It's pay per use. You can have multiple models."

"I have heard complaints about the solution’s pricing, and thus I rate it as a five."

"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."

More Amazon Redshift pricing and cost advice

"We pay approximately $70,000 per month. The cost includes maintenance and support."

"ROI is high."

"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."

"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."

"The solution's cost is reasonable."

"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."

"The cost is perfect with Oracle Universal credit."

"The price depends on the configuration we choose."

More Oracle Autonomous Data Warehouse pricing and cost advice

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911,436 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Construction Company

11%

Manufacturing Company

10%

Outsourcing Company

Financial Services Firm

11%

Media Company

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	29

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	11

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 is your experience regarding pricing and costs for Amazon Redshift?

My experience with pricing and setup cost is satisfactory, as we have been loyal clients of Amazon since the beginning of our organization. However, I am not aware of the exact costs associated wit...

What needs improvement with Amazon Redshift?

Amazon Redshift could improve by enhancing its UI to be more user-friendly for non-technical users and by offering better cost management, as similar tools tend to be less expensive. Additionally, ...

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

We pay approximately $70,000 per month. The cost includes maintenance and support.

What needs improvement with Oracle Autonomous Data Warehouse?

Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.

What is your primary use case for Oracle Autonomous Data Warehouse?

We are using Oracle Autonomous Data Warehouse for analytics in my company.

Snowflake vs Amazon Redshift

Comparisons

Compared 13% of the time

Teradata vs Amazon Redshift

Compared 8% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 7% of the time

Amazon EMR vs Amazon Redshift

Compared 6% of the time

Actian ParAccel vs Amazon Redshift

Compared 3% of the time

More Amazon Redshift Competitors

Snowflake vs Oracle Autonomous Data Warehouse

Compared 16% of the time

BigQuery vs Oracle Autonomous Data Warehouse

Compared 15% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 10% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 9% of the time

VMware Tanzu Data Solutions vs Oracle Autonomous Data Warehouse

Compared 5% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Amazon Redshift

Download Amazon Redshift product report

Oracle Autonomous Data Warehouse

Download Oracle Autonomous Data Warehouse product report

Overview

Amazon Redshift is a dynamic data warehousing and analytics platform offering scalability and seamless AWS integration for high-performance query processing and diverse data management.

Amazon Redshift provides robust data integration capabilities with AWS services like S3 and QuickSight, enabling efficient data warehousing and analytics. It is known for fast query performance due to its columnar storage and can handle diverse file formats. With a user-friendly SQL interface, Redshift supports data compression and offers a strong cost-performance ratio. Its secure VPC configurations and compatibility with data science tools enhance its functionality, although there is room for improving snapshot restoration, dynamic scaling, and processing large datasets.

What are the key features of Amazon Redshift?

Scalability: Allows growth with business needs, accommodating increasing data volumes.
Massive Parallel Processing: Speeds up query performance through parallel data processing.
Seamless AWS Integration: Connects smoothly with services like S3 and QuickSight for enhanced functionality.
Columnar Storage: Enhances query performance by storing data in columns.
User-friendly SQL Interface: Simplifies data query and manipulation.
Data Compression: Efficiently compresses data to reduce storage costs.

What benefits should users look for in reviews?

Cost-Performance Ratio: Offers competitive pricing with high processing efficiency.
Fast Query Performance: Delivers quick data retrieval and processing speeds.
Security Features: Ensures data security through VPC configurations.
Integration Flexibility: Easily integrates with data science tools and BI platforms.

In industries, Amazon Redshift is essential for managing extensive datasets for business intelligence, operational insights, and reporting. It supports data integration from ERPs and S3, handles SQL queries for comprehensive analysis, and facilitates data storage and transformation. Companies use it for predictive modeling and connect with BI tools like Tableau and Power BI to derive actionable insights.

Amazon Web Services (AWS)

Oracle Autonomous Data Warehouse is a cloud-based service offering advanced data management capabilities, including automated administration and high performance for analytics tasks. It is ideal for enterprises prioritizing security, easy maintenance, and dynamic scale.

Oracle Autonomous Data Warehouse stands out by offering self-managing capabilities that minimize administrative overhead, allowing organizations to focus on data-driven decision-making. With features such as transparent data encryption, seamless cloud integration, and automated query tuning, it ensures secure and efficient data operations. Its architecture separates compute and storage, enhancing scalability and performance. Despite its setup complexity and higher cost than some competitors, it offers deep integration with Oracle Database, ensuring reliable performance and fast data exchange.

What features define Oracle Autonomous Data Warehouse?

Self-Patching: Automatically updates to ensure security and performance.
Auto-Scaling: Dynamically adjusts resources to meet workload demands.
Query Tuning: Optimizes queries for better performance without user intervention.
Seamless Cloud Integration: Easily connects with Oracle and other cloud applications.
Transparent Data Encryption: Provides secure data handling to meet compliance needs.
Smart Scan: Efficiently processes queries to reduce data retrieval times.

What benefits can be expected from Oracle Autonomous Data Warehouse?

Cost-Effectiveness: Reduces operational costs through automation and serverless operations.
High Security: Ensures data protection with encryption and isolated resources.
Performance Enhancement: High-speed data processing and query response times.
Easy Maintenance: Minimal administrative tasks due to automation.
Scalability: Effortlessly scales resources to accommodate growth.

Oracle Autonomous Data Warehouse is widely used in finance, banking, transport, and manufacturing, supporting data analytics in financial systems, procurement, and student management. It facilitates large-scale transaction processing, offering centralized reporting and dynamic resource allocation, which is crucial for enhancing performance across industries.

Oracle

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

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

Amazon Redshift vs. Oracle Autonomous Data Warehouse