Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
By replacing multiple legacy systems and teams with a single automated platform, organizations see significant cost savings and improved business operations.
In my experience, we have seen a return on investment, with results visible within a week.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Whenever we faced issues with data volume, the support team helped us by suggesting solutions like breaking the data into chunks.
I reach out to the professional services team or customer success team for technical support, and they provide immediate responses.
Workato's support is robust, featuring first and second-level support.
There are scalability limitations with Workato.
Allows dynamic connection switching at runtime.
Even when clients overutilize the product, Workato allows them to continue without interruption, charging accordingly rather than limiting usage.
Once deployed, solutions do not break, making it more reliable than other solutions like Microsoft Power Automate that often disconnect.
During the initial data loads with large volumes, Workato was unable to handle the data effectively, which indicates stability issues under high loads.
To handle more than 50,000 records, I use scripting actions like Python or JavaScript to process large data in chunks.
Fivetran could improve by adapting more for technical users and by providing more options for such users.
Workato struggles with scalability when handling high volumes of data, such as terabytes, requiring chunking for initial data loads.
One area for improvement is the CI/CD pipeline, which lacks a version control system similar to GitHub for easier deployment.
Currently, there's no way to set breakpoints to stop the process and debug an error as you can in other tools like webMethods.
Our current yearly contract for Fivetran is approximately $70,000.
While the upfront cost is high due to task-based pricing, the cost is relatively low in terms of development because Workato provides necessary connectors for integration use cases.
Compared to other iPaaS solutions like Boomi, Workato’s pricing model charges per connection step, which increases the cost.
Workato's pay-as-you-use model is competitive when compared with other iPaaS providers, making it cost-effective for organizations looking to integrate multiple functionalities under one platform.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
It allows app-to-app and real-time integrations, which significantly enhance process efficiency.
It comes with pre-built connectors, eliminating the need to write APIs.
The platform's ease of use for connecting to different integrations, like Salesforce and NetSuite, is very beneficial because development isn't necessary, and everything is readily available.
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
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 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.
