Key features.
- SQL-like access: Executes SQL queries on Parquet data compatible with various engines.
- Efficient compression: Uses an ideal format for large-scale data analytics.
- Multi-platform support: Connects with SDKs and query engines that support Parquet.
- Secure data handling: Employs strong security protocols for data access.
Use cases.
- Analyze large-scale datasets efficiently using the Parquet format.
- Integrate Parquet data into reporting and analytics solutions.
- Automate data workflows using Parquet stored data.
