Great software for data virtualization and Data Lake engine
What do you like best about the product?
- Simple UI
- Low entry threshold for enduser (SQL is enough)
- Data Virtualization - one point to access lots of heterogeneous sources
- Materialization features
- Makes our ad hoc and self-service very fast.
- Low entry threshold for enduser (SQL is enough)
- Data Virtualization - one point to access lots of heterogeneous sources
- Materialization features
- Makes our ad hoc and self-service very fast.
What do you dislike about the product?
- No scheduling for materializations yet.
- Some work is needed regarding logs/error descriptions - sometimes they're not very understandable.
- Some work is needed regarding logs/error descriptions - sometimes they're not very understandable.
What problems is the product solving and how is that benefiting you?
- Ad hoc analytics
- Data preparation for Data Science/AI/ML purposes
- Self-service reporting
- Centralizing access to various sources.
- Data preparation for Data Science/AI/ML purposes
- Self-service reporting
- Centralizing access to various sources.
Recommendations to others considering the product:
Wisely consider your cluster size and your semantic layers structure
Is the software pricing by each engine ? Or do I only pay software cost for the co-ordinator or for each executors ?