Exasol Data Warehouse vs Google Cloud SQL comparison

Exasol and Google are both solutions in the Relational Databases Tools category. Exasol is ranked #32, while Google is ranked #19 with an average rating of 7.9. Exasol holds a 1.4% mindshare in SQL, compared to Google’s 1.0% mindshare. Additionally, 100% of Exasol users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Exasol Data Warehouse

Read 8 Exasol Data Warehouse reviews

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100% willing to recommend

Google Cloud SQL

Read 23 Google Cloud SQL reviews

2,280 Views
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100% willing to recommend

Exasol Data Warehouse

Google Cloud SQL

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Exasol Data Warehouse and Google Cloud SQL based on real PeerSpot user reviews.

Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Exasol Data Warehouse vs. Google Cloud SQL Report (Updated: March 2026).

Buyer's Guide

Exasol Data Warehouse vs. Google Cloud SQL

March 2026

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Helped 885,311 peers since 2012

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

Exasol Data Warehouse

Ranking in Relational Databases Tools

32nd

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud SQL

Ranking in Relational Databases Tools

19th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (6th), Database Management Systems (DBMS) (9th)

Mindshare comparison

As of March 2026, in the Relational Databases Tools category, the mindshare of Exasol Data Warehouse is 1.4%, up from 0.5% compared to the previous year. The mindshare of Google Cloud SQL is 1.0%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Google Cloud SQL	1.0%
Exasol Data Warehouse	1.4%
Other	97.6%

Relational Databases Tools

Featured Reviews

reviewer2132565

Head Of Engineering Commercial Planning & Trading Data Platform at Zalando SE

Fast, reliable, and rock solid

The solution is intended as the backend for our reporting solution MicroStrategy. It's also used for ad-hoc analysis or to fuel other tools with data as it's the only place where some of the data points are available within an acceptable SLO We used it to decouple ETL and reporting databases. The…

Read full review

Prathap Sankar

Analytics Delivery Manager at Tredence Inc.

Gain control and flexibility with customizable tools but has slower performance

I am majorly working in Google Cloud SQL for building my applications Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed. The deployment model allows for…

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

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

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

"This solution is extremely fast and very stable; you set it up and put your data on it and as long as it's structured, it self-tunes queries and doesn't require a database administrator."

"Its speed is great."

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

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

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

"We mainly chose Exasol for its performance reasons."

More Exasol Data Warehouse pros

"Google Cloud SQL is highly scalable."

"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."

"Ease of management and the ability to oversee the statistics of your SQL."

"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."

"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."

"The implementation part of the product was easy."

"The solution is easy to use. I am impressed with the tool's features and functionality."

"My suggestion to anyone thinking about this solution is to jump into it head-first!"

More Google Cloud SQL pros

Cons

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

"The price is quite expensive relative to other similar solutions, it could be more accessible in that sense."

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

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

"Lacks a cloud-based platform."

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

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

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

More Exasol Data Warehouse cons

"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."

"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."

"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."

"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."

"In my opinion the most vulnerable problem with Google SQL is each SQL node is provided with a public IP address."

"In the case of Google, they need to work on a more easy interface for users."

More Google Cloud SQL cons

Pricing and Cost Advice

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

"It is not expensive, especially considering the significant reduction in database management time."

"The solution is affordable."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"The pricing is very much an important factor as to why we use this solution."

"You need to pay extra costs for backup and replication."

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

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Top Industries

By visitors reading reviews

Outsourcing Company

Computer Software Company

Manufacturing Company

Financial Services Firm

13%

Computer Software Company

10%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	9

Questions from the Community

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Earn 20 points

What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...

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What is your primary use case for Google Cloud SQL?

I have been using Google Cloud SQL for two or three years since I started.

See all answers

Comparisons

SQL Server vs Exasol Data Warehouse

Compared 15% of the time

Oracle Database vs Exasol Data Warehouse

Compared 12% of the time

Teradata vs Exasol Data Warehouse

Compared 11% of the time

OpenText Analytics Database (Vertica) vs Exasol Data Warehouse

Compared 10% of the time

Oracle Database In-Memory vs Exasol Data Warehouse

Compared 9% of the time

More Exasol Data Warehouse Competitors

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 24% of the time

Amazon RDS vs Google Cloud SQL

Compared 23% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Exasol Data Warehouse

March 2026

Download Exasol Data Warehouse product report

Buyer's Guide

Google Cloud SQL

March 2026

Download Google Cloud SQL product report

Overview

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

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

Sample Customers

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

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Buyer's Guide

Exasol Data Warehouse vs. Google Cloud SQL

March 2026

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