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IBM watsonx.data

Score8.8 out of 10

58 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 Next Gen Data Lake Platform

Use Cases and Deployment Scope

For Storing and managing large data for BI and Analytics, its supports Hybrid mode so it is the right platform.

Pros

  • Open architecture, Hybrid mode (can use on-prem or on cloud)
  • Fully compliance to meet governance
  • Multi Engine support

Cons

  • Complex for every user in terms of ease of use
  • IBM is known to pricy solution, so price remain the primary concern for most of the organisations.

Return on Investment

  • Less ROI , because of high prices
  • Although this meets the primary objective of handling all data at single place, which helps faster developments and reduce data duplication
  • Fulfill governance & security with built-in features , one can use for access control and policy enforcement.

Alternatives Considered

Azure Databricks and Snowflake

Other Software Used

Canva, Tungsten Capture, Zimbra by Synacor

Using Data as Oil

Use Cases and Deployment Scope

We have created a data lake after connecting all the equipment and products. We do some analytics.

Pros

  • Easy data storage
  • data stacking and retrieval
  • Processing is faster
  • Easy to operate

Cons

  • Good

Return on Investment

  • Its great positive response

IBM watsonx.data Review

Use Cases and Deployment Scope

In our organization, We use IBM watsonx.data for general information acquision

Pros

  • I think the Accuracy of information is done well in IBM watsonx.data
  • I think Detailed info is done well in IBM watsonx.data
  • Easy to use

Cons

  • In my opinion, there is room for improvement in IBM watsonx.data with Flexibility

Alternatives Considered

360 Cloud Accounting

IBM watsonx.data

Use Cases and Deployment Scope

IBM watsonx.data data for lakehouse creation and consolidation of data.

Pros

  • vector db
  • Ai ready
  • watsonx.ai integration

Cons

  • better llm support
  • open
  • open source support

Return on Investment

  • fast and easy

Alternatives Considered

AWS Elastic Beanstalk

Other Software Used

Amazon Elasticsearch Service

Usability

Data Data everywhere.

Use Cases and Deployment Scope

As a Distributor, we have wastsonx.data in our Digital Innovation Center, where we use it for Presales and Partner enablement. We also use it for demo labs and PoC environments. It is used to validate use cases, test architectures, and build solution designs. We allow business partners access so they can set up and test their own real-world solutions and expand their portfolio of solutions and services.

Pros

  • It is an open-source architecture with open data formats.
  • Flexibility of data sources and locations (cloud, on-prem, hybrid).
  • Combining structured and unstructured data for a wide range of workloads.

Cons

  • Improvements in simplicity/maturity of data integration capabilities.
  • Simplify transformation and orchestration processes.
  • It could use some canned templates for redundant/repetitive operations.

Return on Investment

  • Helps is get more partners certified and enabled leading to more deals.
  • Helps us conduct more PoC's and demos without bearing additional costs.
  • Allows us to claim true "offering leadership". differentiation, and value added for our partners and their customers.

Alternatives Considered

Databricks Data Intelligence Platform, Snowflake and Amazon Redshift

Other Software Used

Atlassian Jira, Microsoft 365, Microsoft Power BI, Microsoft Power BI Embedded