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

7th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (6th), 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 June 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.0%, down from 7.3% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 4.7%, up from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Amazon Redshift	7.0%
Oracle Autonomous Data Warehouse	4.7%
Other	88.3%

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

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

"AWS Redshift is one of the fastest and most cost-effective cloud-based databases."

"The stability of Amazon Redshift is good."

"The most valuable features of Amazon Redshift are that its fast and efficient, as we have lots of TBs of data and it's very fast."

"Redshift's versioning and data security are the two most critical features; when migrating into the cloud, it's vital to secure the data, and the encryption and security are there."

"I work in the real estate industry, and the best features I appreciate about Amazon Redshift include its efficiency in managing large datasets."

"With the APIs that are available, it can be easily integrated with other tools."

"The scalability is very good, and it is one of the best features of this solution."

"I have primarily used the Redshift Spectrum feature and found it most valuable."

More Amazon Redshift pros

"It is a stable and scalable solution."

"The solution is used for analytics and it works for our data security needs."

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

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

"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."

"The product has self-repair features."

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

More Oracle Autonomous Data Warehouse pros

Cons

"Planting is the primary key enforcement that should be improved but there is probably a reason that they don't follow the reference architecture."

"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."

"Amazon should bring more SQL functions that are required in data warehouse implementations."

"The customer support could be more responsive."

"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."

"The OLAP slide and dice features need to be improved."

"If you require a highly scalable solution, I would not recommend Amazon Redshift."

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

More Amazon Redshift cons

"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."

"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."

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

"The setup is complex."

"Optimization should be better."

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

"It is good as data warehouses go, but it is not that good for really big data."

"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."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"The solution has very competitive pricing."

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

"The cost must be improved."

"The cost is comparable to Snowflake."

"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."

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

"The pricing is reasonable."

"The part that I like best is that you only pay for what you are using."

More Amazon Redshift pricing and cost advice

"The solution is expensive."

"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."

"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."

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

"The cost is perfect with Oracle Universal credit."

"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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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Construction Company

11%

Manufacturing Company

Comms Service Provider

Manufacturing Company

10%

Financial Services Firm

Media Company

Insurance Company

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 14% of the time

Teradata vs Amazon Redshift

Compared 8% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 6% of the time

Amazon EMR vs Amazon Redshift

Compared 6% of the time

IBM Netezza Performance Server vs Amazon Redshift

Compared 3% of the time

More Amazon Redshift Competitors

BigQuery vs Oracle Autonomous Data Warehouse

Compared 18% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 9% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 9% of the time

Snowflake Analytics 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