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IBM watsonx.data

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56 Reviews and Ratings

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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

Reviews

What users are saying about IBM watsonx.data.
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Using Data as Oil

Incentivized
Ravindra Bhanage
Engineering in Engineering at Tata Power (1001-5000 employees employees)

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

Incentivized
Victor Ngoma
Manager in Marketing at Wacker (201-500 employees employees)

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

Incentivized
Murali MadhanagopalView profile
Architect in Engineering at Intel (201-500 employees employees)

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

Transforming security Data analytics with IBM WATSONX.Data

Incentivized
Harshal PachpandeView profile
Analyst in Information Technology at Secureview (501-1000 employees employees)

Use Cases and Deployment Scope

In our organisation, we use Watsonx.data as a centralized data lakehouse and analytics layer to manage, analyse, and govern large-scale operational and security-related data across a hybrid environment. We leverage this tool primarily for security operations analytics, threat intelligence enrichment, and compliance-driven reporting across multiple customers in our managed security services setup.

Pros

  • Unified data access across Hybrid Environment On on-premise SQL and Oracle, FB, and cloud security data from Qradar, CrowdStrike, and Zscaler, and using this engine, analysts can query across these diverse data sets as if they were in one place.

Cons

  • Integration complexity with Security Tools while watsonx.Data is well-suited for native tools, but integration with third-party security tools requires custom connectors or manual ETL pipelines. which leads to an increase in setup time.
  • User interface and query time can be improved.

Return on Investment

  • Significant time savings in data processing and analysis with watsonx.data federated querying and iceberg-based architecture. Data preparation time has been reduced by 40-50% enabling analysts to directly query and correlate data without duplication.

IBM watsonx.data for future data warehousing needs

Incentivized
Ravi Indurti, DVM, MS.
LM Fellow in Information Technology at Lockheed Martin (1001-5000 employees employees)

Use Cases and Deployment Scope

In our organization, we use IBM watsonx.data fir data warehouse needs.

Pros

  • I think IBM watsonx.data does storage well
  • In my opinion, IBM watsonx.data does performance well
  • In our organization, IBM watsonx.data provides a unified environment
  • In my experience, IBM watsonx.data does Integration with data movement well

Cons

  • data Integration recently came up and we will be looking into it

Return on Investment

  • Positive - as IBM watsonx.data 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

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