Find out in this report how the two Integration Platform as a Service (iPaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We have automated complete order-to-cash processes for multiple customers, saving over 90 million dollars.
The return is faster since development efforts are minimized, allowing for quicker integration delivery.
The tech support is very good, offering immediate responses and chat options.
Seamlessly meeting SLAs and providing excellent responses to challenges and issues related to interface and data connectivity.
We receive service that is more than adequate, even exceptional.
We have built approximately 1,100 interfaces for one customer, which is a significant achievement.
The reason we wanted to use our own Kubernetes cluster was to do automatic scaling for utilized resources, allowing us to save.
With proper version control, you could know which version to revert to and test other versions.
The ETL aspect of Boomi iPaaS is not mature enough at the moment.
The integration landscape has become complex, and having a data strategy with unified data models would make integration easier for any platform, including Boomi.
While pricing is relative, compared to others, it is favorable.
The pricing for Boomi iPaaS is reasonable, costing around $6,000 per year.
The most valuable features of Boomi are the integration capabilities, the Data Hub product, and the UDI integration.
When developers learn how to use it, they become productive sooner.
The integrations and API management are particularly beneficial.
The Boomi AtomSphere integration platform as a service (iPaaS) supports all your application integration processes – between cloud platforms, software-as-a-service applications, and on-premises systems. Your entire team has online access to a powerful range of integration and data management capabilities, that can be realized in a fraction of the time of legacy middleware technologies.
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.
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