As an IBM Business Partner., we position IBM watsonx.data to many clients that are having difficulty breaking dow their data silos. IBM watsonx.data enables companies to leverage their data assets in many ways such as AI, ML & DW in one location.
Pros
Scalability. You can grow your data foot print
Data Managment..Both structured & unstructured data.
Governance. make sure that your data is governed.
Cons
Maybe pricing models.
Likelihood to Recommend
We had a customer that had data spread out is differnt locations and formats. With IBM watsonx.data we were able to centralize their data and make it available thought the organization while being completely governed. This was HUGE for the customer.
To improve our ETL process Integrating IBM watsonx.data with Iceberg has significantly enhance our data management capabilities , we can sync external Iceberg data into watsonx.data without moving the data physically. Different engines has access the same data simultaneously, enabling data sharing across multiple repositories. The combination allows for efficient data processing and advanced analytics, leveraging the strengths of both platforms.
Pros
Data copy and etl processing
Data synchronization
query performance
data migration
Cons
platform stability
flexibility
query engine performance
IBM watsonx.data saas platform flexibility and stability
Likelihood to Recommend
iceberg open table format has the flexibility and good choice for data migration and processing
VU
Verified User
Partner in Information Technology (Computer Software company, 10,001+ employees)
IBM watsonx.data is an AI and data platform for business with which enterprises can easily curate, test, deploy and embed in Artificial intelligence and Data science in our business, manage all the data sources and accelerate responsible AI workflow which are tightly coupled, all on one platform. This impact of AI we can trust the data across your business.
Pros
It's Open source technology, provides variety of use cases and compliance requirements.
Its trusted platform designed with principles of transparency, responsibility and governance
watsonx is designed for targeted enterprise at business domains.
Cons
IBM is bit pricy while comparing to other competitors in the market.
customisation of models is difficult at times for use cases.
It lags in performance at times, while the parent server needs a restart.
Likelihood to Recommend
IBM watsonx.data platform is best suited for scale AI workloads from single unit data store, which is only data store that is open hybrid and governed. So the customer trust and safety is never comprised. But this platform lags performance for large scale data sets and we need to restart the main server.
