#1 most frequent
United States of America
71.4%75 installations of 105
What is IBM watsonx.data?
Watsonx.data is presented as an open, hybrid and governed data store that makes it possible for enterprises to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture, supported by querying, governance and open data formats to access and share data.
Categories & Use Cases
Product Demos
Who Buys & Uses IBM watsonx.data
#2 most frequent
Canada
11.4%12 installations of 105
#3 most frequent
United Kingdom of Great Britain and Northern Ireland
3.8%4 installations of 105
IBM watsonx.data is great Data Accessibility and easy Data Sharing Platform.
Use Cases and Deployment Scope
IBM watsonx.data is an excellent platform which simplifies effective data accessibility and very easy multiple data sharing across several products and perfect solution on multiple projects data management. The functionalities are easy and very flexible tools with great capabilities to hundle huge amount of business data and data extraction ability is amazing.
Pros
- Data access solution.
- Easy data sharing.
- Effective workload management.
- Data extraction.
Cons
- The ability to share big data.
- The large project data accessibility.
- Multiple data integration.
Return on Investment
- Easy to share all the project data across project members.
- Accessing various data is faster.
- Effective project data management.
- Workload easy management.
Alternatives Considered
Cloudera Data Platform, Presto and Google BigQuery
Other Software Used
Amazon Redshift, Snowflake, OpenText Vertica
IBM watsonx.data for future data warehousing needs
Use Cases and Deployment Scope
fir data warehouse needs.
Pros
- storage
- performance
- unified environment
- Integration with data movement
Cons
- data Integration recently came up and we will be looking into it
Return on Investment
- Positive - as it integrates into CP4D and other data movement tools
- Negative - not used that much to comment on
Other Software Used
IBM Cloud Pak for Data, IBM DataStage
Still Learning IBM watsonx.data
Use Cases and Deployment Scope
I started learning IBM watsonx.data due to the integration with existing DevOps tools. The more I learned, I found it to be for large databases while working in a large corporation. Now that I'm a boutique company, I found the UI not as friendly for non-technical users.
Pros
- Integration
- central Interface across the IBM watsonx.data platform
- performance for big data
Cons
- Price
- user interface for non-technical
- a streamline version of smaller companies
Return on Investment
- no negative impact
- used for learning
- trying the trial version to help customers
IBM watsonx.data
Use Cases and Deployment Scope
IBM watsonx.data data optimization
Pros
- vector db
- Ai ready
- watsonx.ai integration
Cons
- better llm support
- open
- open source support
Return on Investment
- fast and easy
Swim with you data with IBM watsonx.data
Use Cases and Deployment Scope
Building robust lake house on on-prem infrastructure. Maintaining data sovereignty
Pros
- Lake House
- Unstructured data
- Build analytics on data
- Data Integration
Cons
- Out of box connectivity for major available database
Return on Investment
- Swim with your data without compromise the complacence
- Data Governance
Alternatives Considered
IBM watsonx Orchestrate
Other Software Used
IBM Maximo Application Suite, IBM watsonx.ai
