We performed a comparison between Matillion ETL and SnapLogic 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 has good integrations with Amazon Redshift and other AWS services."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"It is pretty user-friendly, even for people who aren't super technical."
"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 ETL helps manage data movement, ingestion, and transformation through pipelines."
"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."
"It's been able to do everything we require."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"SnapLogice is a low-code development tool."
"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"
"SnapLogic is an IPA tool that leverages a low code environment to connect to multiple sources, extract data, and store it in Azure data lake."
"SnapLogic is a great platform for establishing integrations among various systems or patterns by using any kind of interface. If something is not supported by predefined snaps – snaps are connectors in SnapLogic – you can create them (custom snaps) or write a script."
"It's more developer-friendly, and development can be done at a faster phase."
"It is a stable solution."
"The product is easy to use and has many connectivity options."
"The initial setup is very straightforward."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"In the next release, we would like to have connections to more databases."
"It needs integration with more data sources."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"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."
"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."
"SnapLogic doesn't provide any on-premises software, so users have only cloud-based software to use."
"We'd like there to be more ways for users to get more comfortable and have more experience with the solution to make it easier to use."
"I don't think the support has better knowledge about technologies and tool support. There were lots of times when we had an issue, and it took me quite a long time to explain the problem. I feel like some of the support staff don't know their product well."
"They should expand in terms of features for SaaS-based market requirements in different sectors."
"What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools."
"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."
"I would like to see more performance-related dashboards, ones that display the cost of a pipeline, for instance. Also, it would be helpful to have management dashboards for overseeing pipelines and connections."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while SnapLogic is ranked 7th in Cloud Data Integration with 21 reviews. Matillion ETL is rated 8.6, while SnapLogic is rated 8.0. 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 SnapLogic writes "Easy to set up, easy to use, and is low-code". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, SSIS and Talend Open Studio, whereas SnapLogic is most compared with IBM InfoSphere DataStage, AWS Glue, Azure Data Factory, Informatica Cloud Data Integration and Mule Anypoint Platform. See our Matillion ETL vs. SnapLogic report.
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