Matillion Data Productivity Cloud vs Toad Data Point comparison

Matillion and Quest Software are both solutions in the Cloud Data Integration category. Additionally, 92% of Matillion users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Matillion Data Productivity...

Read 28 Matillion Data Productivity Cloud reviews

3,936 Views
1,574 Comparison Views

92% willing to recommend

Toad Data Point

Read 5 Toad Data Point reviews

1,268 Views
850 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Toad Data Point

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Executive SummaryUpdated on Jan 18, 2026

Toad Data Point and Matillion Data Productivity Cloud compete in data analytics and integration. Toad Data Point is noted for its ease of use and lower costs, whereas Matillion Data Productivity Cloud offers advanced features and scalability, providing better value despite higher costs.

Features: Toad Data Point offers robust data connectivity capabilities, simple setup for complex queries, and a user-friendly interface. Matillion Data Productivity Cloud features advanced data transformation, seamless cloud integration, and automated scalability, especially suitable for large-scale data warehousing.

Room for Improvement: Toad Data Point could enhance its cloud-native capabilities, expand its data transformation functions, and improve support for cloud-based data warehousing. Matillion Data Productivity Cloud could offer more cost-effective pricing options, simplify its initial setup process, and enhance non-cloud integration features.

Ease of Deployment and Customer Service: Toad Data Point's deployment is simpler, targeting desktop use with minimal customer service needs. Matillion is designed for cloud deployment and offers extensive customer support, addressing integration complexities and troubleshooting.

Pricing and ROI: Toad Data Point provides lower initial setup costs, appealing to cost-sensitive users with quicker ROI for small-scale operations. Matillion's higher initial costs are offset by scalable solutions and significant long-term ROI for businesses focused on cloud-centric data transformation.

To learn more, read our detailed Matillion Data Productivity Cloud vs. Toad Data Point Report (Updated: December 2025).

Buyer's Guide

Matillion Data Productivity Cloud vs. Toad Data Point

December 2025

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Helped 881,082 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

Matillion Data Productivity...

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Cloud Data Integration (10th), AI Data Analysis (10th)

Toad Data Point

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Integration (30th), Data Preparation Tools (6th)

Featured Reviews

Jitendra Jena

Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights

Easy integration and workflow proposals streamline processes

The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.

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reviewer2686479

Works

Facilitates seamless connections and automation across multiple data sources

Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks. The tool should have a feature where, if I convert my Oracle connection, the code, whether a select statement or anything else, should automatically convert into Oracle format. The same with SQL. When connecting to SQL, the code should be in SQL format, and when connecting to Teradata, it should be in Teradata format. Since not everyone knows all languages, there should be a feature that automatically converts code into the desired format. It's not user-friendly. Once you start using it, you eventually get to know the features.

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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

"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"

"Matillion ETL is one hundred percent stable."

"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."

"It has helped us to get onto the cloud quickly."

"The most valuable feature of Matillion ETL is its user-friendly graphical interface."

"The predefined connectors eliminate the need to write code for connectivity; if you have a predefined connector, it is easy to use with plug and play functionality."

"It has good integrations with Amazon Redshift and other AWS services."

"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."

More Matillion Data Productivity Cloud pros

"We love it."

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."

"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."

"The best thing about it is its automation features."

"With Toad Data Point, I can automate most steps automatically."

"I have never experienced any issues with customer service."

Cons

"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."

"The product must enhance its near-real-time data capture feature."

"The tool's lineage is very weak."

"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."

"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."

"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."

"In the next release, we would like to have connections to more databases."

"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."

More Matillion Data Productivity Cloud cons

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

Pricing and Cost Advice

"A rough estimation of the cost is around 20,000 dollars a month, however, this is dependent on the machine used and how Matillion ETL is used."

"The price of Matillion ETL is reasonable."

"Matillion ETL is expensive."

"The cost of the solution is high and could be reduced."

"The absence of licensing commitments makes it easy to experiment with the tool, and if we decide it's not suitable, we can simply stop the ETL instance and cease incurring charges."

"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."

"I think it is cost conscious. It used to be very cheap and they have more recently bumped up the pricing, so it is competitive now."

"It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."

More Matillion Data Productivity Cloud pricing and cost advice

"The cost of this product is reasonable."

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."

"The price of Toad Data Point was approximately $500 annually."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

11%

Manufacturing Company

11%

Retailer

Financial Services Firm

29%

Healthcare Company

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	10
Large Enterprise	11

No data available

Questions from the Community

What do you like most about Matillion ETL?

The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.

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What is your experience regarding pricing and costs for Matillion ETL?

The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.

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What needs improvement with Matillion ETL?

The main areas for improvement are AI features and scalability.

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What is your experience regarding pricing and costs for Toad Data Point?

The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...

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What needs improvement with Toad Data Point?

I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky.

See all answers

What is your primary use case for Toad Data Point?

When I use it, I'm using it for writing SQL or testing SQL code. I used to use it for moving data, loading files into database tables, from tables to other tables.

See all answers

Comparisons

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Compared 8% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs Matillion Data Productivity Cloud

Compared 5% of the time

Fivetran vs Matillion Data Productivity Cloud

Compared 4% of the time

AWS Glue vs Matillion Data Productivity Cloud

Compared 4% of the time

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Compared 17% of the time

SAS Enterprise Guide vs Toad Data Point

Compared 15% of the time

WhereScape RED vs Toad Data Point

Compared 14% of the time

SSIS vs Toad Data Point

Compared 13% of the time

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Compared 10% of the time

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Product Reports

Buyer's Guide

Matillion Data Productivity Cloud

January 2026

Matillion Data Productivity Cloud report

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Buyer's Guide

Toad Data Point

January 2026

Download Toad Data Point product report

Also Known As

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery

No data available

Overview

Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.

Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.

What are the key features of Matillion Data Productivity Cloud?

User-Friendly Interface: Simplifies interaction for non-technical users with a graphical interface.
Seamless Integration: Works smoothly with AWS, SFDC, RDS, Marketo, Facebook, and Google AdWords.
Automatic Scalability: Efficiently manages varying workloads with scale-up and down capabilities.
Efficient Data Handling: Streamlines transformations, scheduling, and sample data verifications.
Diverse Data Source Support: Easily integrates multiple data sources for streamlined processes.

What benefits and ROI should users seek in reviews?

Ease of Use: Reduces complexity for non-technical teams with intuitive operation.
Performance Efficiency: Fast data processing and transformations enhance productivity.
Cloud Compatibility: Supports integration with cloud platforms for versatile data solutions.
Time-Saving Scheduling: Automates data tasks, allowing users to focus on other priorities.
Scalability: Automatically adjusts to workload needs, optimizing resource use and cost.

In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.

Matillion

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.

Quest Software

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc

Concordia University

Buyer's Guide

Matillion Data Productivity Cloud vs. Toad Data Point

December 2025

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