Amazon Aurora 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 #7 with an average rating of 8.5, while Exasol is ranked #24 with an average rating of 8.5. Amazon Web Services (AWS) holds a 3.0% 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

Read 18 Amazon Aurora reviews

2,410 Views
1,575 Comparison Views

100% willing to recommend

Exasol Data Warehouse

Read 8 Exasol Data Warehouse reviews

444 Views
117 Comparison Views

100% willing to recommend

Amazon Aurora

Exasol Data Warehouse

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Exasol Data Warehouse and Amazon Aurora compete in data management. Amazon Aurora has an edge due to advanced features, despite higher costs. Exasol's pricing and efficient support are notable, attracting cost-conscious customers.

Features: Exasol offers high-performance analytics, scalability, and seamless Tableau integration, eliminating indexing concerns with automatic query optimization. Aurora provides compatibility with MySQL and PostgreSQL, secure multi-region replication, and advanced auto-scaling combined with AWS ecosystem benefits.

Room for Improvement: Exasol could enhance its ease of use by incorporating more automation in maintenance tasks. It may also expand its integration capabilities beyond current BI tools and provide more granular role management. Aurora, while robust, could improve in simplifying setup complexity, reducing cost barriers for smaller businesses, and offering more flexible maintenance options.

Ease of Deployment and Customer Service: Exasol simplifies deployments with quick setup and responsive service, minimizing configuration hassle. Aurora benefits from AWS integration for seamless scaling but may involve more intricate setup. While Aurora's support relies on AWS's overarching service structure, Exasol's dedicated approach offers a more personalized touch.

Pricing and ROI: Exasol's pricing structure suits analytics-focused firms seeking competitive initial investments and solid ROI. Aurora's premium pricing aligns with its feature-rich offering, considered worthwhile for organizations prioritizing advanced scalability. Exasol appeals to cost-conscious buyers, while Aurora attracts those valuing expansive feature sets for long-term growth.

To learn more, read our detailed Amazon Aurora vs. Exasol Data Warehouse Report (Updated: June 2025).

Buyer's Guide

Amazon Aurora 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

Ranking in Relational Databases Tools

7th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

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

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 is 3.0%, down from 4.2% 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

Adnan Shafiq

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

High availability and geographical redundancy ensure reliable performance and cost efficiency

Amazon Aurora ( /products/amazon-aurora-reviews ) provides up to fifteen to sixteen read replicas. It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR. As a managed service, maintenance tasks like backup and restore are handled by AWS ( /products/amazon-aws-reviews ), saving my organization significant time and money. Additionally, its fast cloning feature allows us to create a new clone from a large database swiftly, similar to a zero-copy cloning feature in Snowflake ( /products/snowflake-reviews ). This makes Amazon Aurora a compelling choice for my organization.

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Shubham-Agarwal

Manager - Projects at Cognizant

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

"One of the standout features of Amazon Aurora is that we do not need to maintain disaster recovery or manage availability zones."

"The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer."

"Amazon Aurora is built on community databases and AWS has added additional features to it, allowing customers to have enterprise-level features at a lower cost."

"The most valuable features of Amazon Aurora include the global instance with the global writer endpoint, which allows failovers and instance switches without requiring changes in my code, thanks to the default global Route 53 endpoint."

"The most valuable feature is the ability to do multiple-read and single-write. These are the kinds of features that we were interested in, and Aurora takes care of that natively."

"The solution’s scalability is good since we don’t need to take a maintenance window during unpredictable workloads. I like the solution’s behind-the-scenes happenings. It is a great feature."

"The most valuable feature is that the maintainability is offloaded to the service provider. I don't have to maintain a database or do any administrative tasks, which comes in handy."

"Amazon Aurora stands out for its ease of use in a managed environment, inbuilt security, continuous backups, numerous read replicas, multi-region automated replication, and seamless integration with other AWS services."

More Amazon Aurora pros

"The solution is hands-off; you set it up insert your data and it self tunes queries."

"The most valuable feature of Exasol is its speed."

"The speed is very good compared to other databases, like SQL Server or Oracle."

"We can quickly scale the solution as it works on an MPP system."

"Performance is a top priority, and it excels in this aspect."

"It is easy to scale."

"We mainly chose Exasol for its performance reasons."

"Its speed is great."

Cons

"I would like to see more AI-related features in future releases."

"There are tuning challenges."

"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."

"It would have been helpful if they had provided some benchmarking numbers."

"A challenge I noticed is during migration from PostgreSQL RDS to Amazon Aurora. There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly."

"One of the most valuable features is storage scaling."

"The product's distributed query process for MySQL needs improvement."

"There is improvement needed to have more developer focus. Additionally, it would be helpful to have a stand-alone solution outside of Amazon. Amazon has a tendency to favor developing web-based clients, which may not always provide the fastest or most responsive solution as desired."

More Amazon Aurora cons

"It would be beneficial if the updates would occur more often."

"It's not cloud-native so many maintenance operations require downtime."

"Lacks a cloud-based platform."

"They don't talk very well to with other products when it comes to connectivity. Integration is lacking."

"The only area where we found it could improve was in custom role creation and security, and it was difficult to work with."

"You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems."

"They should improve the security features for MPP processing."

"There are limited resources available to help me resolve the issue with Exasol."

Pricing and Cost Advice

"It is quite expensive."

"The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."

"The price could be lower compared to its competitors."

"I would rate the pricing a six out of ten, with ten being expensive."

"It is an expensive solution."

"There is no need to buy a license for the product. We can pay as per the use case."

"The solution's cost is mid-ranged."

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

14%

Government

Manufacturing Company

Retailer

19%

Logistics Company

Computer Software Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Amazon Aurora?

Aurora's compatibility with MySQL or PostgreSQL benefited our database management. The migration from on-premise MySQL to Aurora was similar, so we didn't need to change our source code.

See all answers

What is your experience regarding pricing and costs for Amazon Aurora?

Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost. I rated it as two to three on a scale where ten is very expensive.

See all answers

What needs improvement with Amazon Aurora?

Amazon Aurora should upgrade its base PostgreSQL ( /products/postgresql-reviews ) versions more frequently and offer all PostgreSQL extensions. Keeping extensions up-to-date with PostgreSQL release...

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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

SQL Server vs Amazon Aurora

Compared 31% of the time

Oracle Database vs Amazon Aurora

Compared 21% of the time

MariaDB vs Amazon Aurora

Compared 7% of the time

Citus Data vs Amazon Aurora

Compared 7% of the time

YugabyteDB vs Amazon Aurora

Compared 7% of the time

More Amazon Aurora Competitors

SQL Server vs Exasol Data Warehouse

Compared 20% of the time

SAP HANA vs Exasol Data Warehouse

Compared 18% of the time

Oracle Database vs Exasol Data Warehouse

Compared 14% of the time

MySQL vs Exasol Data Warehouse

Compared 13% of the time

Teradata vs Exasol Data Warehouse

Compared 11% of the time

More Exasol Data Warehouse Competitors

Product Reports

Buyer's Guide

Amazon Aurora

June 2025

Download Amazon Aurora product report

Buyer's Guide

Exasol Data Warehouse

June 2025

Download Exasol Data Warehouse product report

Overview

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.

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

Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel

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 vs. Exasol Data Warehouse

June 2025

Free Report: Amazon Aurora vs. Exasol Data Warehouse

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