Fivetran vs. Mashery (now part of Boomi)

Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.

Incentivized

Mashery is great when it comes to deployment to your own datacenter and when it comes to managing third party API's like Salesforce using Mashery Cloud version. I would be a little bit more careful when deploying it on Kubernetes as it was not designed for it. New version 5 is re-architected to run more on natively on Kubernetes, but we have not tested it yet.

Incentivized

• Easily connects to source data using delivered connectors
• Transforms data into standard models and schemas
• Has very good documentation to help quickly setup connectors

Incentivized

• Easy integration of the TIBCO Cloud Mashery developer portal allows simple onboarding and user and application management.
• Configuration of TIBCO Cloud Mashery is both flexible and focused to address the main tasks for an API Management solution.
• The built-in OAuth Token capabilities provide a quick start to properly manage application access.

Incentivized

• Very difficult to get connectors enhanced if a specific needed object is not supported by them
• Depending on the edition needed and the data volumes, can get quite expensive

Incentivized

• The "Control Center" admin dashboard is not performant. We have a lot of configuration data in Mashery (many endpoints, many plans, many users, many keys, etc.) and the website struggles with the volume of data it has to deal with.
• Their systems have limitations that make it more difficult for us to operate the way we would like. For example, there is a limit to the number of API Definitions we can create, as well as a limit to the number of Endpoints we can define in a Plan.
• Their support organization leaves a lot to be desired. Responses are slow, and when they do come they are often inadequate. We have to re-phrase the question to get them to answer it differently, or we have to repeatedly follow up to ask for additional clarifying information.

Incentivized

Ease of use.

Incentivized

Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.

Incentivized

i find some of the package adding and key are complex . UI experience is bad . Every step need front and backward navigation too much. It would be better if endpoint itself contain package and key addiction option

Incentivized

It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.

Incentivized

Support has been good overall.

Incentivized

Initially it was difficult to understand . after few day , it was easy

Incentivized

We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.

Incentivized

I've really only looked at Mashery since it has been around a very long time and has a rich feature set. I do know our platform teams are looking into AWS gateway but not sure this product has everything we need.

Incentivized

• It has been very positive in serving BI team with new source requests
• It has been OK at scaling to match as data volumes as source data size grows

Incentivized

• As a API Mediation layer it has helped with the troublesome port setup with internal and external clients. Meaning it made that easy to the client that they know where to go for access to an API.
• The interactive documentation is very well put together and has reduced the time that developers have to go back and forth with each other to figure how to call the API.

Incentivized