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IBM watsonx.data

Score8.8 out of 10

19 Reviews and Ratings

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

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