We performed a comparison between Matillion ETL and Oracle Big Data SQL based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"It has helped us to get onto the cloud quickly."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"The product's initial setup phase was easy."
"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."
"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."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"It has improved the costs of managing my customer’s data."
"The user interface is really user-friendly and intuitive."
"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"It needs integration with more data sources."
"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."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"The cost of the solution is high and could be reduced."
"The tool's lineage is very weak."
"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 solution could improve by adding more advanced features."
"There is room for improvement in the pricing."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while Oracle Big Data SQL is ranked 17th in Cloud Data Integration with 2 reviews. Matillion ETL is rated 8.6, while Oracle Big Data SQL is rated 8.6. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". On the other hand, the top reviewer of Oracle Big Data SQL writes "Offers good scalability, strong stability and seamless integration ". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS, whereas Oracle Big Data SQL is most compared with Palantir Foundry and Oracle Data Integrator (ODI). See our Matillion ETL vs. Oracle Big Data SQL report.
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We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
