IBM watsonx.data
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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.
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.
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.
Reliable Tool for Handling Large and Mixed Data
What do you like best about the product?
What I like most about IBM watsonx.data is that it brings different types of data into one place in a clean and organized way. The interface is simple to understand, so it didn’t take me long to get comfortable using it. It also handles larger datasets quite well, which is useful when working on analytics or reporting tasks.
I also appreciate that it comes with helpful features around governance and access control. Setting up permissions is easy, and it feels well integrated with other IBM tools, so I don’t have to jump between platforms. Overall, it makes daily data work smoother.
I also appreciate that it comes with helpful features around governance and access control. Setting up permissions is easy, and it feels well integrated with other IBM tools, so I don’t have to jump between platforms. Overall, it makes daily data work smoother.
What do you dislike about the product?
The main thing I don’t like is that the initial setup takes some time, especially for someone not familiar with IBM’s overall environment. A few parts need multiple configuration steps, and I had to go through the documentation several times to understand how certain features worked.
Customer support is helpful, but sometimes the documentation could be clearer, which would reduce the need to contact support in the first place. Once everything is set up, though, the system works steadily without much trouble.
Customer support is helpful, but sometimes the documentation could be clearer, which would reduce the need to contact support in the first place. Once everything is set up, though, the system works steadily without much trouble.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data helps me organize different types of data in one central place, which makes daily data work much easier. Before this, data was spread across different systems and it was time-consuming to manage access and keep everything consistent.
With watsonx.data, I can quickly process large datasets and run analytics without waiting too long. The built-in governance tools also help control who can access what, so data stays secure and well managed. Overall, it saves time, reduces manual work, and makes it easier to use data for reporting and analysis.
With watsonx.data, I can quickly process large datasets and run analytics without waiting too long. The built-in governance tools also help control who can access what, so data stays secure and well managed. Overall, it saves time, reduces manual work, and makes it easier to use data for reporting and analysis.
Flexible Platform with Powerful Integration and Hybrid Architecture
What do you like best about the product?
I appreciate this platform for its hybrid and open architecture, as well as its support for multiple engines. I also like that it integrates with tools such as IBM Knowledge Catalog.
What do you dislike about the product?
My main issues are the high rates and the complexity involved in learning how to use it.
What problems is the product solving and how is that benefiting you?
I am abel to access my data from one place and it's AI ready as it simplifies finding and organizing the data.
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