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.
In my experience, we have seen a return on investment, with results visible within a week.
I reach out to the professional services team or customer success team for technical support, and they provide immediate responses.
Whenever we faced issues with data volume, the support team helped us by suggesting solutions like breaking the data into chunks.
There are scalability limitations with Workato.
During the initial data loads with large volumes, Workato was unable to handle the data effectively, which indicates stability issues under high loads.
Workato struggles with scalability when handling high volumes of data, such as terabytes, requiring chunking for initial data loads.
It allows app-to-app and real-time integrations, which significantly enhance process efficiency.
Workato reduces total development time as it generates code seamlessly and integrates with SQL databases or APIs through configuration.
Matillion ETL is a powerful tool for extracting, transforming, and loading large amounts of data from various sources into cloud data warehouses like Snowflake. Its ability to load data dynamically and efficiently using metadata is a standout feature, as is its open-source ETL with good performance and high efficiency.
The solution has a graphical interface for jobs, is easily adjustable and extensible, and allows for scheduling and error reporting. Matillion ETL has helped organizations move to a cloud-based solution, bridge the gap between on-premises and on-cloud, and perform complex migration projects.
Named a Leader in iPaaS for Dynamic Integrations by Forrester, Workato is a modern automation and integration platform. With its enterprise-grade capabilities, you can seamlessly integrate and orchestrate workflow automation across cloud and on-premise applications, files and databases without coding.
The Workato team comes from a deep background in building integration products and will continue to expand and change the automation and integration space.
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.