Matillion Data Productivity Cloud vs Oracle Big Data SQL comparison

Matillion and Oracle are both solutions in the Cloud Data Integration category. Matillion is ranked #9 with an average rating of 8.1, while Oracle is ranked #18 with an average rating of 10.0. Matillion holds a 4.1% mindshare in CDI, compared to Oracle’s 0.6% mindshare. Additionally, 92% of Matillion users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Matillion Data Productivity...

Read 28 Matillion Data Productivity Cloud reviews

3,892 Views
1,362 Comparison Views

92% willing to recommend

Oracle Big Data SQL

Read 2 Oracle Big Data SQL reviews

186 Views
119 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Oracle Big Data SQL

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Executive SummaryUpdated on Jul 6, 2025

Matillion Data Productivity Cloud and Oracle Big Data SQL are competing in the data processing and management category. Based on the comparisons, Matillion has the upper hand in affordability and support, while Oracle Big Data SQL stands out with advanced features.

Features: Matillion Data Productivity Cloud offers intuitive data transformation, seamless cloud integration, and user-friendly interfaces. Oracle Big Data SQL provides sophisticated query optimization, scalability, and support for complex data environments.

Ease of Deployment and Customer Service: Matillion focuses on streamline deployment and rapid implementation with supportive customer interaction. Oracle Big Data SQL's deployment can be intricate, reflecting its enterprise-grade focus but offers comprehensive solutions.

Pricing and ROI: Matillion Data Productivity Cloud provides a cost-effective setup appealing to budget-conscious businesses with attractive ROI benefits. Oracle Big Data SQL requires a substantial initial investment, promising significant long-term returns for large-scale operations.

To learn more, read our detailed Matillion Data Productivity Cloud vs. Oracle Big Data SQL Report (Updated: July 2025).

Buyer's Guide

Matillion Data Productivity Cloud vs. Oracle Big Data SQL

July 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

Matillion Data Productivity...

Ranking in Cloud Data Integration

9th

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

18th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Cloud Data Integration category, the mindshare of Matillion Data Productivity Cloud is 4.1%, down from 4.2% compared to the previous year. The mindshare of Oracle Big Data SQL is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

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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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

"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."

"Matillion's technical support is excellent."

"The technical support treats us well. They already have a support portal, and they are responsive, which helps."

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

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

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

"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."

"Matillion ETL has great Git integration that is perfect and convenient to use."

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 improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."

"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."

"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."

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

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

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

"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."

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

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

"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."

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

"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."

"The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running."

"The product must improve its pricing."

"The pricing depends on what edition the customer opts for. For example, the standard edition is priced at $2.00 per credit. And you are only charged when you use it. You're not charged when it's idle."

"The price of Matillion ETL is reasonable."

"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."

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

17%

Computer Software Company

15%

Manufacturing Company

Insurance 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.

See all answers

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

While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing c...

See all answers

What needs improvement with Matillion ETL?

There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raise...

See all answers

What do you like most about Oracle Big Data SQL?

The user interface is really user-friendly and intuitive.

See all answers

What needs improvement with Oracle Big Data SQL?

There is room for improvement in the pricing.

See all answers

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...

See all answers

Comparisons

AWS Glue vs Matillion Data Productivity Cloud

Compared 8% of the time

Azure Data Factory vs Matillion Data Productivity Cloud

Compared 7% of the time

Oracle Data Integrator (ODI) vs Matillion Data Productivity Cloud

Compared 6% of the time

SnapLogic vs Matillion Data Productivity Cloud

Compared 5% of the time

SSIS vs Matillion Data Productivity Cloud

Compared 5% of the time

More Matillion Data Productivity Cloud Competitors

Palantir Foundry vs Oracle Big Data SQL

Compared 100% of the time

More Oracle Big Data SQL Competitors

Product Reports

Buyer's Guide

Matillion Data Productivity Cloud

August 2025

Matillion Data Productivity Cloud report

Download Matillion Data Productivity Cloud product report

Buyer's Guide

Cloud Data Integration

August 2025

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

Buyer's Guide

Matillion Data Productivity Cloud vs. Oracle Big Data SQL

July 2025

Free Report: Matillion Data Productivity Cloud vs. Oracle Big Data SQL

Find out what your peers are saying about Matillion Data Productivity Cloud vs. Oracle Big Data SQL and other solutions. Updated: July 2025.

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