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The Fosfor Decision Cloud is a connected fabric that unifies and amplifies the value promised by the modern data ecosystem, which is made up of infrastructure, data, and application clouds. Fosfor enables organizations to effectively curate data, generate impactful insights, and formulate effective decisions to deliver the long-sought promise of data and AI: optimal business outcomes
Provider
LTIMindtree
Located In
India
Foundation
1996
Open API
No
Deployment
Cloud, SaaS, Web-Based, On-Premise Windows, On-Premise Linux
Training
Webinars, Documentation, Live Online, Videos
Support
Email/Help Desk, Knowledge Base
The Fosfor Decision Cloud seamlessly help build the customized data to decision journey required to maximize business outcomes from your organization’s data investments
Content Source: Fosfor Decision Cloud
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Fosfor Decision Cloud Reviews
"The future of Technology"
Pros: Launching a notebook, the ability to select the container size, bit bucket integration
Cons: There is no sich thing that I do not like about fosfor
"A great product to automize the MLOps journey"
Overall: It has been a great journey so far, with so many added features & changes since i came accross this product, hoping to get better each day.
Pros: The wide range of templates to work on & scale the work seamlessly is one of the best thing about fosfor
Cons: One thing that can be improved in the product is to add low cost version in the bucket to attract small startup/college users & indivisual users(B2C) who can directly login and do their work.
"Performance & Stability"
Overall: It allows for faster and easier adoption and developing any solution. Easy to navigate and self learn platform, which makes any developer independent. High performance flexible & stabled platform.
Pros: Performance of data processing is fast as compared to other data ingestion & integration platforms. Stability and user intuitiveness helps the user develop and create. their data pipelines much faster. This increases the adoption of platform by any type of user The ease of moving the data pipelines to Spark based distribution engines or snowflake or bigquery is very flexible and requires no technical expertise and changes to move across runtime engines.
Cons: Stability of certain services can be improved more. Since platform is microservices based it can have more integrated features related to AI driven functionalities like - predicting resource consumption, processing time of pipelines, detection of any network anomalies and responding to user. accordingly. this will increase more stability.
"Raja_SCB_Review"
Pros: I am using last 18 months, easily to understand flatform and more useful to learn new things.
Cons: Nothing from me. I haven't anything to here to say.
"Much recommended "
Pros: Very good supportCustomisable Data pipeline well structured
Cons: UI could be better. And apart from this I don’t see other concerns
