IBM watsonx.data as a Service
IBM SoftwareExternal reviews
147 reviews
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Ease in creating multiple buckets for different portfolios in an organization
What do you like best about the product?
Reduces the time drastically and very easy to implement.
What do you dislike about the product?
I can't think of anything that i do not like about watsonx.data
What problems is the product solving and how is that benefiting you?
IBM watsonx analyzes and processes lots of unstructured data and provides better customer support.
One place for everything
What do you like best about the product?
I like the way it represented various sources of data and constructed queries for newbies
What do you dislike about the product?
There is lot of scope to improvise this product and more easy way to implement the service
What problems is the product solving and how is that benefiting you?
Its going to help us understanding the bad data and provide fix as needed
Great tool to support our future
What do you like best about the product?
it gives a view into data at an enterprise level
What do you dislike about the product?
a little clunky especially at the beginning. not very intuitive either.
What problems is the product solving and how is that benefiting you?
Accelerate growth and speed to market with new product offerings
Great tool for our future
What do you like best about the product?
When paired correctly it can be very powerful
What do you dislike about the product?
At first use it's a bit clunky and didn't give us what we really expected
What problems is the product solving and how is that benefiting you?
We want to use it to identified structured and unstructured documents easily and get their data.
WatsonX.data review
What do you like best about the product?
Integration with all variety of data bases
What do you dislike about the product?
Still exploring, will find more as our organization use it more
What problems is the product solving and how is that benefiting you?
Generating data insights
watsonx.data review
What do you like best about the product?
that we can use the milvus database and that it connects easily to the rest of the ibm services.
What do you dislike about the product?
Milvus: milvus admin permissions suck a little, whoever makes it has total control and access is totally seperate from rest of account permissions.
What problems is the product solving and how is that benefiting you?
Solving the problem of holding our data for our project.
Great experience with automation
What do you like best about the product?
it gets many unknown information from your data
What do you dislike about the product?
sometimes it is to slow and cosumes to much energy
What problems is the product solving and how is that benefiting you?
it gets a lot of our data and many unknown information
Data Ingestion
What do you like best about the product?
Architecturally watsonx.data is best where you could add as many as catalogs and federation has been made easy. access control makes a big difference so does the multi engines like presto,spark,db2warehouse etc.
What do you dislike about the product?
I wish the integration part is tightly attached to watsonx.data UI in order to run jobs directly from watsonx.data UI rather than going into other services like integration and run job from there.I found many issues with Presto c++ when inserting the data , i dont know if that is limitation:
Limited File Format Support
Restricted Table Creation
Syntax & Compatibility Issues
Catalog Limitations
Data Ingestion Challenges:Can't load CSV directly into tables using code:
Presto/Trino vs Other Technologies:
Feature Presto/Trino Spark SQL Databricks
DML Operations ❌ Limited ✅ Full ✅ Full
CSV Support ❌ Limited ✅ Full ✅ Full
Delta Lake ❌ No ✅ Yes ✅ Native
Table Creation ❌ Restricted ✅ Full ✅ Full
Data Ingestion ❌ Complex ✅ Easy ✅ Easy
Limited File Format Support
Restricted Table Creation
Syntax & Compatibility Issues
Catalog Limitations
Data Ingestion Challenges:Can't load CSV directly into tables using code:
Presto/Trino vs Other Technologies:
Feature Presto/Trino Spark SQL Databricks
DML Operations ❌ Limited ✅ Full ✅ Full
CSV Support ❌ Limited ✅ Full ✅ Full
Delta Lake ❌ No ✅ Yes ✅ Native
Table Creation ❌ Restricted ✅ Full ✅ Full
Data Ingestion ❌ Complex ✅ Easy ✅ Easy
What problems is the product solving and how is that benefiting you?
IBM watsonx.data solved the data silos
Reliable Data Platform ,Still Evolving Though
What do you like best about the product?
1.Flexible data handling and fast searches.
2. Queries run quickly and handle diverse data well.
3. I like how fast it processes and manages big data.
2. Queries run quickly and handle diverse data well.
3. I like how fast it processes and manages big data.
What do you dislike about the product?
1. Learning takes time for a beginner.
2. Initial setup also takes time.
2. Initial setup also takes time.
What problems is the product solving and how is that benefiting you?
For me, IBM watsonx.data helps address two main challenges — ensuring data quality and making it easily accessible for AI and analytics. In Responsible AI work, having a trusted, well-governed dataset is critical to avoiding bias and ensuring compliance. The platform’s governance tools make it easier to maintain lineage, manage permissions, and apply consistent policies across multiple data sources.
It also streamlines access to both structured and unstructured data, so instead of spending hours gathering and cleaning data, I can focus on building and testing AI models. Using it as a data warehouse has reduced the time it takes to prepare datasets for machine learning, which speeds up experimentation and shortens project cycles. Overall, it’s given me a more reliable foundation for developing AI systems that are transparent, scalable, and ethically sound.
It also streamlines access to both structured and unstructured data, so instead of spending hours gathering and cleaning data, I can focus on building and testing AI models. Using it as a data warehouse has reduced the time it takes to prepare datasets for machine learning, which speeds up experimentation and shortens project cycles. Overall, it’s given me a more reliable foundation for developing AI systems that are transparent, scalable, and ethically sound.
Reliable
What do you like best about the product?
What I really like about IBM watsonx.data is its ability to handle and analyze large amounts of structured and unstructured data from different sources all in one place. It’s flexible, integrates well with existing tools, and helps turn raw data into meaningful insights much faster. I also appreciate how it’s built for scalability, so it can grow with the business needs
What do you dislike about the product?
One thing I’ve noticed is that, because IBM watsonx.data is such a powerful and feature-rich platform, there can be a learning curve for new users to fully leverage all its capabilities. Also, depending on the size of the datasets and complexity of queries, performance tuning might be needed to get the best results. But once you get familiar with it, the benefits outweigh the initial challenges
What problems is the product solving and how is that benefiting you?
IBM watsonx.data is solving the problem of having data scattered across multiple systems and formats. Instead of spending a lot of time moving and preparing data, I can query and analyze it directly from where it resides, whether it’s in a data lake, warehouse, or external source. This saves time, reduces duplication, and makes it easier to get real-time insights for decision-making. It’s also helping improve collaboration, since different teams can work off the same unified view of the data
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