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Amazon Aurora Serverless vs Exasol Data Warehouse comparison

Amazon Web Services (AWS) and Exasol are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #22 with an average rating of 9.0, while Exasol is ranked #24 with an average rating of 8.5. Amazon Web Services (AWS) holds a 0.3% mindshare in SQL, compared to Exasol’s 0.7% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Exasol users who would recommend it.
Amazon Aurora Serverless
Read 3 Amazon Aurora Serverless reviews
  • 115 Views
  • 47 Comparison Views
100% willing to recommend
Exasol Data Warehouse
Read 8 Exasol Data Warehouse reviews
  • 444 Views
  • 117 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Exasol Data Warehouse and Amazon Aurora Serverless are data processing solutions with Amazon Aurora generally noted for its scalability and cloud capabilities, providing an advantage in flexibility, whereas Exasol's speed and analytics are highly regarded for performance-focused needs.

Features: Exasol Data Warehouse features high-performance analytics, in-memory processing, and efficient data handling. Amazon Aurora Serverless includes automatic scaling, seamless integration with AWS services, and a comprehensive cloud operations ecosystem. The key difference lies in Exasol's focus on speed and analytics versus Aurora's adaptability in a cloud environment.

Ease of Deployment and Customer Service: Exasol focuses on performance and optimization in its deployment model, while Amazon Aurora Serverless offers a flexible, automated process via the cloud. Amazon benefits from a vast AWS support network, providing extensive customer service resources compared to Exasol's specialized support.

Pricing and ROI: Exasol involves higher initial setup costs but delivers a significant ROI in high-speed analytics for performance-driven tasks. Meanwhile, Amazon Aurora Serverless uses a scalable, usage-based pricing model, presenting cost-effective options for diverse workloads, prioritizing cost efficiency through scalability.

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Buyer's Guide
Amazon Aurora Serverless vs. Exasol Data Warehouse
June 2025
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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 Aurora Serverless
Ranking in Relational Databases Tools
22nd
Average Rating
9.0
Reviews Sentiment
8.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Exasol Data Warehouse
Ranking in Relational Databases Tools
24th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora Serverless is 0.3%, up from 0.0% compared to the previous year. The mindshare of Exasol Data Warehouse is 0.7%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools
 

Featured Reviews

MohitGupta3 - PeerSpot reviewer
Seamless growth management through serverless efficiency and reasonable pricing
The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure. Additionally, it is highly scalable, and its pricing model is favorable. Aurora's automatic scaling greatly enhances our operational efficiency by eliminating the need to set specific thresholds and preventing client data access issues due to uneven growth. Its serverless setup allows us to manage costs effectively. Other notable features include direct integration with tools like SFTP Go for media file uploads, automatic backups ensuring data recovery, and its scalability in terms of handling growing database demands.
Read full review
Shubham-Agarwal - PeerSpot reviewer
Fast query processing and easy-to-store all the data
There are very few companies that are using Exasol, but the majority of companies are using SQL Server, Cloud or IBM Db2 Database, or any other databases. Therefore, the resources are limited, which is my only concern. So if I face any issues, limited resources are available to help me resolve the issue with Exasol. From that perspective, it can be a bit of a struggle for me to find a solution. In the next release, I would like to see better compatibility issues. Currently, Exasol has limited compatibility with other software like Python and R. For example, If I talk about SQL Server, we can connect it to big data or Python, which is also compatible with different servers.
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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 most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure."
"Amazon Aurora Serverless is easy to scale, offering a cluster-based shared scaling model with options for Autoscale."
"Aurora could improve its affordability, even though its price is very completive compared to DBs as SLQ Server."
"It is easy to scale."
"We can quickly scale the solution as it works on an MPP system."
"The most valuable feature of Exasol is its speed."
"The speed is very good compared to other databases, like SQL Server or Oracle."
"Performance is a top priority, and it excels in this aspect."
"Its speed is great."
"The solution is hands-off; you set it up insert your data and it self tunes queries."
"We mainly chose Exasol for its performance reasons."
 

Cons

"Amazon Aurora could improve its detailed monitoring, especially in CloudWatch, to provide more precise query level insights."
"Amazon Aurora Serverless could benefit from a few more security features, particularly in terms of its accessibility."
"Aurora could improve its affordability, as it is currently considered a bit expensive."
"They don't talk very well to with other products when it comes to connectivity. Integration is lacking."
"They should improve the security features for MPP processing."
"The only area where we found it could improve was in custom role creation and security, and it was difficult to work with."
"Lacks a cloud-based platform."
"You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems."
"It's not cloud-native so many maintenance operations require downtime."
"There are limited resources available to help me resolve the issue with Exasol."
"It would be beneficial if the updates would occur more often."
 

Pricing and Cost Advice

Information not available
"The solution's cost is mid-ranged."
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Top Industries

By visitors reading reviews
No data available
Retailer
19%
Logistics Company
10%
Computer Software Company
10%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Aurora Serverless?
In my experience, Aurora is a bit expensive. The costs depend on the size of the database.
See all answers
What needs improvement with Amazon Aurora Serverless?
Aurora could improve its affordability, as it is currently considered a bit expensive. There is room to make it more cost-effective for users even though its price is very completive compared to DB...
See all answers
What is your primary use case for Amazon Aurora Serverless?
I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options.
See all answers
What do you like most about Exasol?
The most valuable feature of Exasol is its speed.
See all answers
What needs improvement with Exasol?
You have to use upper-column names in Exasol, which is strange. You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems.
See all answers
What is your primary use case for Exasol?
We implemented our data problem issues from Tableau. We inserted the data into the Exasol database in order to run 10 to 20 reports from Tableau. This was just a small but problematic report for us.
See all answers
 

Comparisons

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Compared 13% of the time
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Compared 11% of the time
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Product Reports

Buyer's Guide
Relational Databases Tools
June 2025
Amazon Aurora Serverless reportDownload Amazon Aurora Serverless product report
Buyer's Guide
Exasol Data Warehouse
June 2025
Exasol Data Warehouse reportDownload Exasol Data Warehouse product report
 

Overview

Amazon Aurora Serverless is a flexible, on-demand database service that automatically scales based on application needs. It removes the need for database management, allowing businesses to focus on innovation and efficiency.

This database service provides automatic rescaling of compute capacity, which makes it uniquely suited to unpredictable workloads and applications with variable demand. It integrates seamlessly with existing AWS services and supports both MySQL and PostgreSQL, ensuring high availability and durability while reducing costs associated with over-provisioning of resources. Aurora Serverless dynamically adjusts capacity, providing a cost-effective and reliable solution for cloud-native applications and serverless architectures.

What are the key features of Amazon Aurora Serverless?
  • Automatic Scaling: Instantly adjusts capacity in response to demand.
  • Managed Infrastructure: Offloads database maintenance and management tasks.
  • High Availability: Provides multi-AZ support to ensure uptime and reliability.
  • MySQL and PostgreSQL Compatibility: Supports migrations and existing applications.
  • Pay-Per-Use: Charges are based on the exact resources utilized.
What benefits can be found in reviews of Amazon Aurora Serverless?
  • Cost Savings: Helps significantly reduce infrastructure expenses.
  • Operational Efficiency: Frees up time for the IT team for strategic projects.
  • Scalability: Easily accommodates fluctuating application demands.
  • Integration: Works seamlessly with AWS services, enhancing service reach.
  • Resiliency: Robust data protection features contribute to data security.

Amazon Aurora Serverless has been widely adopted across industries such as ecommerce and online media, where demand can vary greatly and unpredictably. For instance, ecommerce platforms benefit from auto-scaling during peak shopping seasons, ensuring uninterrupted service without incurring unnecessary costs during off-peak periods. Similarly, media companies leverage its auto-scaling capabilities to manage traffic spikes during events or breaking news.

Amazon Web Services (AWS)

Exasol is a high-performance data warehouse solution that accelerates BI and reporting features. Its speed, stability, and self-tuning queries make it valuable, and it doesn't require a database administrator. It's a backend database for Tableau dashboards, resulting in faster report loading times and increased efficiency in querying data. 

Exasol's high performance allows users to connect insights and fire queries instead of looking at cached dashboards. It has impressive aggregation capabilities that help calculate metrics on the fly based on user-selected filters.

Exasol
 

Sample Customers

Information Not Available
1&1 Internet SE 11880 Internet Services AG AB Svenska Spel Accarda AG Aera Technology Inc. AGRAVIS Raiffeisen AG Apotheken-Rechen-Zentrum GmbH AQR Capital Management, LLC arvato distribution GmbH ARZ Allgemeines Rechenzentrum GmbH Badoo Limited Baur Versand (GmbH & Co. KG) BIScience Ltd Blocket Blue Yonder GmbH Codilink UK Ltd T/A Coniq crealytics GmbH dailyme TV GmbH Dailymotion S.A. Dataforce Verlagsgesellschaft für Business Information mbH Deutsche Postbank AG Digitales Rezept Zentrum GmbH DIKW Groep direct services Gütersloh GmbH DR Technologies Ltd. dress-for-less GmbH econda GmbH emetriq GmbH empiriecom GmbH & Co. KG Flaconi GmbH Fresenius Netcare GmbH Fyber GmbH GfK SE Grant Street Group, Inc. Gruner + Jahr GmbH Gymshark UK Hahn Air Lines GmbH Hermes Einrichtungs Service GmbH & Co. KG INNOVATIVE SCHEDULING, LLC internetstores GmbH INTERSPORT Deutschland eG IQVIA Commercial GmbH & Co. OHG IQVIA Commercial Sp. z o.o. IQVIA Incorporated iVantage Health Analytics K - Mail Order GmbH & Co. KG LIQ CORP SA Manor AG Basel Match2Lists Limited MEDION AG Midasplayer AB Monsoon Accessorize Limited m-pathy GmbH msales Ltd. MTG Modern Services AB MW Aviation GmbH & Co. KG Myntra Designs Pvt Ltd Netzeffekt GmbH New Company Services Ltd. NOVENTI HealthCare GmbH Olympus Europa SE & Co. KG Operation Fistula OpsDataStore OTTO (GmbH & Co KG) Panda Retail Co. PAPSTAR GmbH Piedmont Healthcare, Inc. Questback GmbH RatePAY GmbH Revolut Ltd. Saarland-Sporttoto GmbH Sagarmatha Ltd. SIA Damara Technologies Supermärkte Nord Vertriebs GmbH & Co. KG The National Research Center for College & University Admissions, Inc. United Utilities Water Ltd. Verlag C.H. Beck oHG Vocal Planet Ltd. Vodafone Group Services GmbH Webtrekk GmbH wer liefert was? GmbH Windeln.de SE Wooga GmbH XING SE Zalando SE
Buyer's Guide
Amazon Aurora Serverless vs. Exasol Data Warehouse
June 2025
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