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IBM watsonx.data

Score8.5 out of 10

81 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.

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Categories & Use Cases

Product Demos

Who Buys & Uses IBM watsonx.data

Pros

  • Robust data integration across diverse, hybrid, and on-premise sources
  • Open lakehouse architecture for unified data environments
  • High performance when handling large datasets

Cons

  • User interface and overall user experience, particularly for non-technical users
  • Complex initial setup and configuration processes
  • Limited out-of-the-box connectivity options for major databases

IBM watsonx.data

Use Cases and Deployment Scope

IBM watsonx.data helps orchestrate most the queries to run without interruptions and it actually helps to monitor and analyze the issues with in no time.

In our case, most of the data driven applications started using them and we still need to explore more options

Pros

  • Infrastructure management and visibility
  • Visibility of the query engines and helps to identify issue with in no time
  • Connectivity from engines to databases like s3 and others

Cons

  • I seen the connectivity of s3 buckets on aws it is only user based authentication if it can used as role based it would be help as part of security constraint
  • Mrap connections are more flexible, But using the presto and it helps a lot
  • If the customization can be happened on the IBM watsonx.data side like connectivity and other things

Return on Investment

  • IBM watsonx.data is very flexible
  • Management of connections are easy
  • IBM watsonx.data actually increased the up time and schema availability good

Alternatives Considered

Apache Spark

Other Software Used

IBM Cognos Analytics, Db2, IBM Data Virtualization Manager for z/OS

[...]'s IBM watsonx.data Review

Use Cases and Deployment Scope

IBM watsonx.data provides a data lakehouse of all of our On-Prem databases whether it's SQL Server or DB2 database formats. This allows our Cognos Analytics environment to connect directly to IBM watsonx.data databases that are on IBM watsonx.data which then allows us to create Assets to generate Reports, Dashboards, Story Boards etc. within the Cognos environment.

Pros

  • Database connectivity
  • The ability to conduct sql statements within the Query Workspace
  • Easily identify if a database is offline

Cons

  • The Presto Engine fails sometimes when a database is deleted
  • The ability to restart the Presto Engine without the need of IBM Support

Return on Investment

  • Definitely increased uptime
  • A permanent location for all of our data sources

Alternatives Considered

IBM Cognos Analytics

Other Software Used

IBM Cognos Dashboard Embedded

IBM watsonx.data Datastage along with streamsets is the best data integration streaming tool in the market.

Use Cases and Deployment Scope

we Use Datastage and planning to migrate to IBM watsonx.data

Pros

  • We run lot of thousands of batch pipelines in our environment
  • The parallel engine underneath it is great

Cons

  • We still need to explore

Return on Investment

  • Datastage point of view, we have this from 2009 onwards and it is running exceptionally well.

Other Software Used

IBM Confluent

watsonx data review.

Use Cases and Deployment Scope

We are using Watsonx.data to store claims PDFs, claims details, and scanned PDFs in the lakehouse, and to enable business users across the company to run analytics for their insights dashboards.

Pros

  • Storing large pdf documents.
  • Allows multiple users to access the data.
  • Single source of truth - zero copy.

Cons

  • Lack of proper documentation.
  • Too many confusing terms.
  • Data manager UI improvement.

Return on Investment

  • Time savings by having single source of truth.

Other Software Used

IBM DataStage, Db2

IBM watsonx.data

Use Cases and Deployment Scope

To be able to integration and create common data platform across organization by building that semantic layer

Pros

  • Data Integration
  • Metadata Extract
  • Connectors

Cons

  • End user training and awareness

Return on Investment

  • The product still review

Alternatives Considered

AWS Glue

Other Software Used

AWS CloudFormation, HashiCorp Nomad