We performed a comparison between Matillion ETL and Qlik Replicate 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 helped us to get onto the cloud quickly."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"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)."
"It has good integrations with Amazon Redshift and other AWS services."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"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 new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions that are cohesive and can integrate well."
"Great with replicating and updating records."
"Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables."
"It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach."
"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"Support has been great."
"We use Qlik Replicate to change data capture of databases in production environments."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"The product must enhance its near-real-time data capture feature."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"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."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"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."
"In the next release, I would like to see closer integration with data catalyst."
"The UI and data version control can be improved."
"This product could be improved by providing more insight regarding errors. One of our customers that uses Qlik Replicate has had an issue. We tried to debug it, but we could not trace the error message. The infrastructure site should give us more insight about errors. Qlik Replicate is not a business solution, it's an IT solution. The reporting tools and bug site should be improved."
"In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement."
"It would be better if the solution’s pricing were more obvious."
"Support-wise, this solution is in need of improvement."
"Some features can also be overly dependent on each other. So, there is room for improvement."
"Support for this product is not great. It needs to be improved."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while Qlik Replicate is ranked 15th in Data Integration with 13 reviews. Matillion ETL is rated 8.6, while Qlik Replicate is rated 8.2. 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 Qlik Replicate writes " Performs well with batch-wise data applications but some features can also be overly dependent on each other". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, SSIS and Informatica PowerCenter, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and Denodo. See our Matillion ETL vs. Qlik Replicate report.
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