Salesforce is a company that integrates artificial intelligence with customer relationship management and data to create solutions for customer-related concerns. Salesforce's primary business problem is to enhance the interaction between businesses and their customers by leveraging technology.
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The API-led approach is a game changer for banking environments. Instead of fragile point-to-point connections between our core systems, we now have reusable APIs that actually scale. The pre-built connectors saved us weeks of custom development, especially connecting to third-party providers. And DataWeave, once your team learns it, handles data transformation in ways that would have taken us months to build manually.
1. The platform serves as a central platform for all things that require API to API connectivity. There is monitoring to showcase the health of pipielines, functions you've built to further use APIs, as well as some AI IDP functionality. 2. The platform has an RPA function that allows you to build out some automation for clerical or repetitive tasks. 3. The support is incredible as they are very responsive and open up Slack channels for you to directly ask questions.
Zero downtime upgrade availability ensures that we are always on and can provide business support at scale. The ability of the tool to support and deliver reusability of the APIs in the environment has been a huge success as well. This solution is full featured but allows for our technology challenged business partners and users a simplistic interface to own the API delivery and lifecycles.
The cost is brutal. Every renewal cycle is a fight with our finance team. It started at one number and kept creeping up, and there's not a lot of transparency in how they price things. Finding qualified developers is also a nightmare. MuleSoft skills are not common, and the ones who know it know they can charge a premium. The IDE is also genuinely frustrating to work in. The rest of the platform is solid but Anypoint Studio feels like it hasn't kept pace.
1. The learning curve is extremely high. While there are some tutorials and walkthroughs, a lot are not up-to-date or are not really translatable to real use-cases. 2. Since Salesforce has acquired Mulesoft, it was difficult to set up the overhead architecture since Mulesoft utilizes Salesforce credits for its AI functions. In addition, we didn't realize that we needed additional products from Salesforce in order to use the AI functions within Mulesoft (Datacloud being one). 3. When using the Design function of the platform, a lot of the errors stem from DataWeave errors. However, the logs are not really useful in letting the user know what is wrong. The Design function also utilizes demo data which doesn't help in assessing accuracy since there is no visibility in the underlying demo data.
The modularity of the product - you pay for every additional need.