Amazon Redshift vs Oracle Autonomous Data Warehouse comparison

Why PeerSpot?

Amazon Web Services (AWS) and Oracle are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #8 with an average rating of 8.2, while Oracle is ranked #14 with an average rating of 6.0. Amazon Web Services (AWS) holds a 7.1% mindshare in CDW, compared to Oracle’s 4.2% mindshare. Additionally, 87% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Oracle users who would recommend it.

Amazon Redshift

Read 73 Amazon Redshift reviews

7,278 Views
4,658 Comparison Views

87% willing to recommend

Oracle Autonomous Data Ware...

Read 19 Oracle Autonomous Data Warehouse reviews

3,631 Views
2,651 Comparison Views

95% willing to recommend

Amazon Redshift

Oracle Autonomous Data Ware...

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Executive SummaryUpdated on Dec 18, 2024

Amazon Redshift and Oracle Autonomous Data Warehouse compete in the cloud data warehousing space. Amazon Redshift often has the upper hand in pricing and support, making it cost-effective for SMEs, while Oracle Autonomous Data Warehouse is favored for its advanced features, suitable for larger enterprises.

Features: Amazon Redshift offers dynamic scalability, enabling resource adjustment for large datasets, supported by a distributed architecture for enhanced performance. It provides multi-format data accessibility and security features like VPC configuration. Oracle Autonomous Data Warehouse boasts Exadata technology for high performance, comprehensive automation, and seamless Oracle Cloud integration, appreciated for its self-management and scalability.

Room for Improvement: Amazon Redshift is criticized for slow snapshot restoring, complex data integration, and the lack of real-time data handling. Suggestions include improved ETL processes and network data transfer. Oracle Autonomous Data Warehouse could enhance R language support and integration with various platforms, with recommendations for improved user-friendly features and handling of semi-structured data like JSON.

Ease of Deployment and Customer Service: Amazon Redshift supports both public and private cloud deployments, offering flexibility in hybrid settings, though direct access to their customer service can be challenging. Oracle Autonomous Data Warehouse provides cloud deployment options with dedicated customer service, though integration complexities remain an area for improvement in interconnectivity.

Pricing and ROI: Amazon Redshift’s competitive pricing and pay-as-you-use model appeal to firms needing scalable solutions, offering cost efficiency for sporadic workloads. Oracle Autonomous Data Warehouse, despite higher pricing, delivers a favorable ROI with an extensive feature set and automation that reduces long-term operational expenses, appealing to larger data initiatives.

To learn more, read our detailed Amazon Redshift vs. Oracle Autonomous Data Warehouse Report (Updated: September 2026).

Buyer's Guide

Amazon Redshift vs. Oracle Autonomous Data Warehouse

September 2026

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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

14th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 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 4.2%, down from 5.1% 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	4.2%
Other	88.7%

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.

Read full review

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…

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

"It allows you write complex queries and perform row by row processes."

"Redshift has been a great DB for us to date."

"The best part about this solution is the cost."

"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."

"It is based on PostgreSQL, it’s managed so AWS takes care of handling infrastructure, deployments, encryption, and uptime for you, it’s cheap when you consider the price per terrabyte per year, and it’s integrated into the AWS stack."

"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API."

"The seamless connection and good scalability on the cloud are valuable features of Amazon Redshift."

"Amazon Redshift has a very user-friendly SQL editor and it's very easy to use the connectors."

More Amazon Redshift pros

"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."

"The performance and scalability are awesome."

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

"The product is easy to use."

"The solution integrates well with Power BI."

"The product has self-repair features."

"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."

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

More Oracle Autonomous Data Warehouse pros

Cons

"AWS Snowflake has a very good feature for cloning databases. It makes it easy to clone a data warehouse, which is useful. I would like to see this feature in Redshift."

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

"The high price of the product is an area of concern where improvements are required."

"The initial deployment was complex."

"This solution lacks integration with non-AWS sources."

"It would be nice if we could turn off an instance."

"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."

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

More Amazon Redshift cons

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

"Ease of connectivity could be improved."

"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."

"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."

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

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

"We are not satisfied with the technical support. Their understanding is lacking."

"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."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."

"This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."

"It is an expensive product."

"The solution has very competitive pricing."

"In comparison to the price of similar solutions, Redshift's cost is the lowest."

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

"The pricing is reasonable."

"The product is cheap considering what it provides; I rate it five out of five for affordability."

More Amazon Redshift pricing and cost advice

"The cost is perfect with Oracle Universal credit."

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

"The price depends on the configuration we choose."

"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."

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

"ROI is high."

"The solution is expensive."

"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."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Construction Company

11%

Outsourcing Company

10%

Manufacturing Company

Financial Services Firm

11%

Media Company

Outsourcing Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	20
Large Enterprise	30

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...

See all answers

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...

See all answers

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, ...

See all answers

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.

See all answers

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.

See all answers

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

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

See all answers

Comparisons

Snowflake vs Amazon Redshift

Compared 12% of the time

Teradata vs Amazon Redshift

Compared 8% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 6% of the time

IBM Db2 Warehouse on Cloud vs Amazon Redshift

Compared 5% of the time

More Amazon Redshift Competitors

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

BigQuery vs Oracle Autonomous Data Warehouse

Compared 13% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 10% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 8% of the time

Snowflake Analytics vs Oracle Autonomous Data Warehouse

Compared 5% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

Amazon Redshift

October 2026

Download Amazon Redshift product report

Buyer's Guide

Oracle Autonomous Data Warehouse

September 2026

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

Buyer's Guide

Amazon Redshift vs. Oracle Autonomous Data Warehouse

September 2026

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