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.
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.
There are areas where they need to improve response time and overall competence.
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 integration landscape has become complex, and having a data strategy with unified data models would make integration easier for any platform, including Boomi.
The ETL aspect of Boomi iPaaS is not mature enough at the moment.
It's cheaper than Palantir, but even Alteryx is too much for small clients.
While pricing is relative, compared to others, it is favorable.
The pricing for Boomi iPaaS is reasonable, costing around $6,000 per year.
The main valuable aspect is the simplicity of use across all features.
It automates the creation and population of a data warehouse, reducing the need to write SQL scripts and procedures.
The integrations and API management are particularly beneficial.
When developers learn how to use it, they become productive sooner.
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.
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