We performed a comparison between Matillion ETL and Snowflake based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"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."
"The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"It is pretty user-friendly, even for people who aren't super technical."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"Can be leveraged with respect to better performance, auto tuning and competition."
"Everything is automatic, and I don't have to do any maintenance."
"The solution's computing time is less."
"The initial setup is very simple."
"The snapshot feature is good, the rollback feature is good and the interface is user-friendly."
"I have found the solution's most valuable features to be storage, flexibility, ease of use, and security."
"The solution is stable."
"Snowflake is faster than on-premise systems and allows for variable compute power based on need."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"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."
"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."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"Performance can be improved for efficiency, and it can be made faster."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"They should improve the reporting tools."
"Product activation queries can't be changed while executing."
"It needs a bit more rigor and governance, which is something you don't get with newer tools. This makes it less enterprise scalable. Its governance and structure can be enhanced, which would really be valuable. I would like to see some kind of prebuilt functionality in terms of having almost like a pre-built data warehouse. A functionality for generating automated kind of pieces would be good."
"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end users."
"I have heard people having difficulty with the machine learning model, so there may be room for improvement."
"Every product has room for improvement, although in this case, it needs some broadening of the functionality."
"Some SQL language functions could be included."
"Snowflake has support for stored procedures, but it is not that powerful."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while Snowflake is ranked 1st in Data Warehouse with 94 reviews. Matillion ETL is rated 8.6, while Snowflake is rated 8.4. 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 Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Matillion ETL is most compared with Azure Data Factory, AWS Glue, SSIS, Informatica PowerCenter and Informatica Cloud Data Integration, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and Amazon Redshift.
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