Best choice for on-premise, getting better in the cloud
What do you like best about the product?
+ Amazing performance in general;
+ Cost-to-performance ratio is very competitive, you'll need much less hardware;
+ Efficient indexed JOINs, probably best in class;
+ Flexible UDF scripts, can be implemented in any programming language and run in parallel;
+ Cost-to-performance ratio is very competitive, you'll need much less hardware;
+ Efficient indexed JOINs, probably best in class;
+ Flexible UDF scripts, can be implemented in any programming language and run in parallel;
What do you dislike about the product?
- Lack of native support for composite data types;
- Lack of native partial backup (per-table, per-schema), must use EXPORT instead;
- Detection of data lineage is a bit difficult, unless you implement it yourself externally;
- Cloud capabilities are not fully utilised (yet), but it's not a problem for "on-premise";
- Lack of native partial backup (per-table, per-schema), must use EXPORT instead;
- Detection of data lineage is a bit difficult, unless you implement it yourself externally;
- Cloud capabilities are not fully utilised (yet), but it's not a problem for "on-premise";
What problems is the product solving and how is that benefiting you?
Self-service analytics, ad-hoc queries, financial reporting, data-driven internal products (e.g. A/B testing, forecasting), machine learning.
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