Brilliant overall cloud product for data storage, processing, and analysis
April 10, 2021

Brilliant overall cloud product for data storage, processing, and analysis

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with IBM Watson Studio on Cloud Pak for Data

IBM Watson Studio on Cloud Pak for Data helps me bring in multiple data streams in Batch and streaming mode and helps me to run ETL processes and then run ML algorithms on top of the processed data. The beauty is I don't need to think about managing resources like CPU, storage, and processing elements and focus all my efforts on the data analytics.
  • Data ingestion
  • ETL processes
  • Integration with Python notebooks for ML algorithms
  • Support to run SQL queries on Cloud
  • Support for streaming data
  • Streaming data support
  • Connecting with existing Hadoop systems
  • Data visualization on top of the data
  • Data analysis
  • AutoML
  • Data visualisation
  • Data engineering
  • ETL
  • APIs for enterprise softwares like Salesforce, Google Analytics, etc.
  • Cheaper storage
  • Faster data processing
  • Faster data analysis
  • Data ingestion
  • Batch data processing
  • Built-in connectors to Python

Do you think IBM Watson Studio on Cloud Pak for Data delivers good value for the price?

Yes

Are you happy with IBM Watson Studio on Cloud Pak for Data's feature set?

Yes

Did IBM Watson Studio on Cloud Pak for Data live up to sales and marketing promises?

Yes

Did implementation of IBM Watson Studio on Cloud Pak for Data go as expected?

Yes

Would you buy IBM Watson Studio on Cloud Pak for Data again?

Yes

Well suited for
  • Data Storage
  • Data Warehousing
  • Data Ingestion
  • Data Analysis using Python

Less Suited for things like
  • Streaming Data
  • ETL tools area
  • AutoML algorithms out of the box
  • NoSQL Database support

IBM Watson Studio Feature Ratings

Connect to Multiple Data Sources
7
Extend Existing Data Sources
7
Automatic Data Format Detection
6
MDM Integration
6
Visualization
5
Interactive Data Analysis
5
Interactive Data Cleaning and Enrichment
6
Data Transformations
6
Data Encryption
5
Built-in Processors
5
Multiple Model Development Languages and Tools
6
Automated Machine Learning
5
Single platform for multiple model development
5
Self-Service Model Delivery
6
Flexible Model Publishing Options
5
Security, Governance, and Cost Controls
6