Atlan vs. IBM Cloud Pak for Data

Well suited if you're using a lot of tools that work in tandem with this such as Snowflake, Amazon, S3, Tableau, Power, BI, Redshift, and others. It also has robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. In my experience, less suited for collaboration across teams. Not a ton of ways to do things in real-time together.

Incentivized

IBM Cloud Pak for Data is best suited for data and analytics scenarios. Clients working with AI/ML-based models looking for analytical capabilities can make the best out of the service offering. Model generation and customization-based scenarios are well-handled by IBM Cloud Pak for Data. A startup with a strict budget that wants to implement an AI/ML-based solution would not be an ideal scenario for using this product due to budget limitations.

Incentivized

• Here, it is very easy to extract and modify the data.
• We can do very quick and smooth integration over here.
• It's OpenSource framework provides extension capabilities to the API it uses

Incentivized

• the fastest execution of queries
• business critical support and redundancy in design for almost 100% uptime
• ties in with many other IBM offerings such as Watson
• support at IBM is unbeatable with experts available before and after the sale to assist clients

Incentivized

• API documentation could be improved
• Support team could be quicker in their response
• Not a lot of "help" type information users can self-access

Incentivized

• Basically I feel price is not very pocket friendly especially for the small business organisation. Should introduce flexible pricing plans.
• The templates can sometimes be to cumbersome to customize and there are more manual steps when it comes to down time.

Incentivized

Incentivized

The best thing about IBM Cloud it foster productivity by enabling users to find existing data or to request access to data. It provides modern tools that facilities analytics and remove silos, barriers to collaboration, thus enables users to spend less time finding data more time using it effectively. It overall enables us to put our data to work quickly and efficiently.

Incentivized

• Atlan has certainly saved time and money by consolidating our metadata sets
• Integrations with Amazon and Tableau have definetely sped up our time to value

Incentivized

• Saves lots of time by predicting outcomes faster using a platform built with data fabric architecture.
• Easy to collect, organize and analyze data no matter where it is.
• Manual catalog is eliminated to save costs.
• Drive responsible, transparent and explainable AI workflow to operationalize AI and mitigate risks and regulatory compliance.

Incentivized