Matillion Data Productivity Cloud vs Oracle Big Data SQL comparison

Matillion Data Productivity Cloud vs. Oracle Big Data SQL

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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

Matillion Data Productivity...

Ranking in Cloud Data Integration

6th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Big Data SQL

Ranking in Cloud Data Integration

16th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Cloud Data Integration category, the mindshare of Matillion Data Productivity Cloud is 3.4%, down from 4.7% compared to the previous year. The mindshare of Oracle Big Data SQL is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

Featured Reviews

Jacques Du Preez

Chief Executive Officer at Intellinexus

Offers good user interface and easy to navigate

Our experience is mainly around using Snowflake Data Cloud with Matillion. And the two of them combined, offer superior performance and price point benefits. Using them together is very efficient because Matillion's processing and Snowflake's own scalability and consumption based on pushing down code work well together. They are very efficient. We've used Azure Data Factory (ADF) for integration. So that's an alternative, depending on customer choice for the integration. And then on AWS, a few of the other services, like Terraform, and S3 storage, and that's about it. It's on a case-by-case basis. If they've chosen ADF as a technology, then we implement using that choice.

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Mohamed Moustafa

General Manager at Quit cement

Offers good scalability, strong stability and seamless integration

The user interface is really user-friendly and intuitive. It was a major plus. The integration process was smooth. Oracle's security is good and significantly better than that of other solutions I've encountered. Previously, we had separate data interfaces for 15 concrete mixing plants, requiring manual document creation in Oracle. Now, with integrated automation, production has become much easier and more efficient over the past three years.

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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"

"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."

"The product's initial setup phase was easy."

"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."

"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."

"The loading of data is the most valuable feature of Matillion ETL."

"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."

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

More Matillion Data Productivity Cloud pros

"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."

"The user interface is really user-friendly and intuitive."

Cons

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

"Matillion’s on-premises capabilities don’t allow you to build something customized."

"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."

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

"Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems."

"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."

"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."

"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."

More Matillion Data Productivity Cloud cons

"There is room for improvement in the pricing."

"The solution could improve by adding more advanced features."

Pricing and Cost Advice

"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."

"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."

"The solution is very cheap. You're paying $2.50 an hour and if you set your service up, which you can do, you're not getting charged. Currently, our ETL process is just an overnight process that runs for about an hour. I can start and stop my server just for an hour if I want to and spent $2.50 a day for an ETL solution. There are no additional costs."

"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."

"Matillion ETL is expensive."

"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."

"It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."

"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."

More Matillion Data Productivity Cloud pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

15%

Manufacturing Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

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

The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running. Its pricing model is different from the traditional pricing models ...

What needs improvement with Matillion ETL?

Depending on the use case, the solution's pricing could be improved. Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems.

What do you like most about Oracle Big Data SQL?

The user interface is really user-friendly and intuitive.

What needs improvement with Oracle Big Data SQL?

There is room for improvement in the pricing.

What is your primary use case for Oracle Big Data SQL?

With Oracle Big Data SQL, I primarily managed data organization and structure. It helped streamline data within the system. I integrated Oracle with other systems. I worked with Oracle integrations...

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Product Reports

Matillion Data Productivity Cloud

Download Matillion Data Productivity Cloud product report

Matillion Data Productivity Cloud report

Cloud Data Integration

Download Oracle Big Data SQL 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

A culture of innovation has propelled Oracle since its inception. Today, thanks to exceptional people, we lead the market in autonomous, cloud, and applications technologies.

Oracle

Sample Customers

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

Information Not Available

Matillion Data Productivity Cloud vs. Oracle Big Data SQL