My usual use cases for IBM Watson Studio include data analysis and model building.
IBM watsonx.data as a Service
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Hybrid Data Solution with Room for Improvement
What do you like best about the product?
I like IBM watsonx.data's ability to unify data across hybrid environments while controlling costs and supporting both structured and unstructured data for AI. Its open architecture and strong integration capabilities provide flexibility and prevent vendor lock-in, making it easier to turn diverse data into actionable insights. These capabilities allow us to centralize fragmented data across environments, reduce infrastructure costs, and efficiently power AI models with diverse datasets for faster and more informed decision making.
What do you dislike about the product?
Some areas for improvement include simplifying initial setup and configuration, enhancing performance tuning guidance, and providing more intuitive management and monitoring tools. Improve documentation, simplify deployment, enhance performance, and strengthen governance tools.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.data to overcome data silos and high storage costs, unifying data from various environments. It supports AI by leveraging both structured and unstructured data, centralizing fragmented data for informed decision-making while controlling infrastructure costs.
Powerful Data Analytics and Visualization Tool
What do you like best about the product?
It is very useful for data analytics and visualization.
What do you dislike about the product?
It is taking time when updating data in the system.
What problems is the product solving and how is that benefiting you?
It is solving data processing and data management.
Scalable Lakehouse with Lightning-Fast Query Performance
What do you like best about the product?
Scalable lakehouse with fast query performance
What do you dislike about the product?
Steep learning curve and complex setup initially
What problems is the product solving and how is that benefiting you?
It solves scattered data and slow analytics by centralizing storage in a scalable lakehouse, helping us run faster queries, reduce data movement, and make quicker data-driven decisions.
Cost-Effective and Flexible, Needs UI/UX Improvements
What do you like best about the product?
I like using IBM watsonx.data because it is cost-effective and flexible for working in a hybrid cloud environment. It makes it easy for me to restructure my data and organize unstructured data, which helps me understand the correct picture of the business. Additionally, setting up IBM watsonx.data was quite easy.
What do you dislike about the product?
Sometimes performance and also UI/UX need to be improved.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.data to organize unstructured data, helping me understand the correct picture of business.
Collaborative tools have streamlined team workflows and automated model building for projects
What is our primary use case?
What is most valuable?
One specific functionality of IBM Watson Studio that I find valuable is its collaboration features, which help streamline our team's workflow and enhance productivity.
I believe the AutoAI features of IBM Watson Studio have significantly helped in my data projects by automating model selection and hyperparameter tuning. The flexibility of machine learning frameworks within IBM Watson Studio truly testifies to its capabilities.
The pre-built model templates in IBM Watson Studio have helped reduce time to value for my team by providing a solid foundation for our data projects, allowing us to focus more on customization and less on building models from scratch.
What needs improvement?
Better documentation and more tutorials could enhance user experience with IBM Watson Studio.
For how long have I used the solution?
I have been working with IBM Watson Studio for an extensive period, but I do not have exact dates available.
What do I think about the stability of the solution?
I find IBM Watson Studio to be quite robust, with minimal downtime and great support regarding stability and reliability.
What do I think about the scalability of the solution?
I needed to scale IBM Watson Studio up for our larger projects, and I have had a chance to communicate with the technical support of IBM Watson Studio, which has been responsive and helpful.
How are customer service and support?
I would rate the technical support of IBM Watson Studio a solid ten out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
Regarding the setup and deployment processes, I have had a smooth experience, finding them straightforward and user-friendly.
What other advice do I have?
The shortcomings that I mentioned do not overshadow the benefits that I gain from using IBM Watson Studio, which continues to provide substantial value for my projects. I rate this product ten out of ten overall.
Total Flexibility for Queries in Multiple Engines and Open Formats
What do you like best about the product?
I like that IBM watsonx.data allows querying the same data with different engines (for example, SQL with Presto and processing with Spark) on open formats like Iceberg, without duplicating datasets. I also highly value those that have multiple support channels.
What do you dislike about the product?
Sometimes the least comfortable thing is that, being so flexible, it requires a little more judgment at the beginning to clearly define the "path" (engines, catalog, and data governance).
What problems is the product solving and how is that benefiting you?
IBM watsonx.data reduces the complexity of having data spread across the data lake, the warehouse, and operational systems—each with its own access and governance—and unifies it into a lakehouse-type experience for analytics and AI.
Effective Workloads Optimization and Nice Real-Time Data Analytics Platform.
What do you like best about the product?
This system simplifies data accessibility and data storage and the ability to migrate multiple IT projects data its excellent and easy optimize workloads.
Effective data management solution via Hybrid Cloud infrastructure and easy secure business data using this IBM platform and the real time data analytics generation this product is the master.
Effective data management solution via Hybrid Cloud infrastructure and easy secure business data using this IBM platform and the real time data analytics generation this product is the master.
What do you dislike about the product?
Useful and very friendly system to get used to and its implementation process is quite simple, and no serious training needed during the initial point.
What problems is the product solving and how is that benefiting you?
Helpful on Cloud data secure storage and easy to access all the required business data and even to integrate across other platforms is amazing and excellent solution metadata easy management and creating clean and reliable real time data reports and analytics through this IBM tool is effective.
Faced a steep learning curve but have streamlined end-to-end machine learning workflows
What is our primary use case?
My main use case for IBM Watson Studio is the end-to-end ML life cycle.
A specific example of a project where I used IBM Watson Studio for the end-to-end machine learning life cycle is that I built a data pipeline that takes a Kafka stream and loads the data into our S3 bucket catalog. Then I built a data pipeline on top of it which parses the catalog and provides structured data for our in-house NER recognition model.
What is most valuable?
The best features IBM Watson Studio offers are that it is good for big and complex organizations, it is multi-cloud, it has an on-prem facility, and it also has strong visual tools.
The strong visual tools have helped my organization, which is currently cloud supported and has an on-prem server as well, as IBM Watson Studio serves as a use case for both of them.
IBM Watson Studio has positively impacted my organization by increasing work efficiency. I have noticed the work efficiency increase as it is an end-to-end ML pipeline in one place.
What needs improvement?
I think IBM Watson Studio can be improved.
I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task. Also, I think pricing is a bit high.
For how long have I used the solution?
I have been working in my current field for three plus years.
What do I think about the stability of the solution?
IBM Watson Studio is stable in my experience.
How are customer service and support?
I have not had any experience with customer support for IBM Watson Studio as I have not used it.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
We are still using Google AI Studio before IBM Watson Studio, and we have not particularly switched completely to IBM Watson Studio.
We are using Google AI Studio as another option, but I did not evaluate other options before choosing IBM Watson Studio.
What other advice do I have?
I would advise others looking into using IBM Watson Studio to just use the tutorials available to see all the features. I rate this product a 4.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
IBM watson.data is a Reliable Data Integration and Secure Hybrid Cloud Management System.
What do you like best about the product?
IBM watsonx.data is an effective multiple projects data access across Hybrid Cloud and very secure data storage platform management platform and even its workload balancing capability is incredible and very reliable big data integration system.
What do you dislike about the product?
This IBM system is very powerful and very friendly platform with simple implementation and easy to configure the functionalities.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data allows easy data accessibility, secure storage for the various IT projects and very useful data integration tool and the real time data analytics creation through the platform is excellent.
A Unified, Scalable Data Lakehouse
What do you like best about the product?
IBM Watsonx.data makes it easy to manage structured and unstructured data in one place. I really like the open lakehouse architecture - it gives us flexibility to store data in different formats while still enabling fast analytics.
The built in governance, metadata management and seamless integration
with open-source engines like Presto and Spark have significantly improved our query performance.
The built in governance, metadata management and seamless integration
with open-source engines like Presto and Spark have significantly improved our query performance.
What do you dislike about the product?
The inititial setup required some learning, especially for configuring connectors and access policies.
Also the pricing can be a bit confusing if you are not familiar with IBM's consumption model
Also the pricing can be a bit confusing if you are not familiar with IBM's consumption model
What problems is the product solving and how is that benefiting you?
It helped us centralize our data, eliminate data silos, and dramatically improve query performance.
Reporting has become faster, governance is more consistent, and overall decision-making has improved.
Cost optimization through workload separation has also been a major benefit.
Reporting has become faster, governance is more consistent, and overall decision-making has improved.
Cost optimization through workload separation has also been a major benefit.
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