The best distributed query engine for massive parallel processing across heterogeneous platforms' data.
What do you like best about the product?
Starburst Insight to monitor all the admin activities.
BIAC feature which helps us to completely move out from Ranger dependencies for access control mechanism.
Superfast for processing large HDFS datasets compared to all other available mediums like Hive engine, etc.
NoSQL databases can be read in an SQL manner which helps us to derive better reports.
Push-down enable/disable feature which helps to decide if workload should be executed at the Trino engine or host engine based on benchmark results.
Easy setup & upgrade.
Very easy to implement.
Easy to integrate with any THP (Third party tool).
Customer Support is very helpful and easily approachable.
BIAC feature which helps us to completely move out from Ranger dependencies for access control mechanism.
Superfast for processing large HDFS datasets compared to all other available mediums like Hive engine, etc.
NoSQL databases can be read in an SQL manner which helps us to derive better reports.
Push-down enable/disable feature which helps to decide if workload should be executed at the Trino engine or host engine based on benchmark results.
Easy setup & upgrade.
Very easy to implement.
Easy to integrate with any THP (Third party tool).
Customer Support is very helpful and easily approachable.
What do you dislike about the product?
The only thing I can think of regarding ETL-related data pipeline work execution is that it is still not very feasible in Starburst.
What problems is the product solving and how is that benefiting you?
EDL users are happy after migrating from Hive engine to Trino engine due to good performance. HDFS data querying was the biggest problem for existing users, which Trino has solved. As we can connect heterogeneous data platforms using Trino to perform analytics, and due to this feature, data movement and data engineering costs have gone down significantly.