Review:
Sql Based Engines Like Presto Or Trino
overall review score: 4.3
⭐⭐⭐⭐⭐
score is between 0 and 5
SQL-based engines like Presto and Trino are distributed query engines designed to perform fast, interactive analytics across large datasets stored in various data sources. They facilitate querying data from multiple sources such as Hadoop, traditional relational databases, object stores, and more, using standard SQL syntax. These engines are optimized for low-latency querying and are often used in modern data lake or multi-cloud environments to enable efficient data analysis without the need for complex data movement.
Key Features
- Distributed architecture allowing high performance on large datasets
- Support for a wide variety of data sources including Hive, Cassandra, relational databases, and cloud storage
- Compatibility with standard SQL for ease of use
- Scalability to handle increasing data volumes and concurrent users
- Plugin-based connector system for extensibility and customization
- Real-time query execution with low latency
- Open-source project with active community development
Pros
- Enables federated queries across diverse data sources without data duplication
- High performance and low latency suitable for interactive analytics
- Flexible metadata layer supports multiple storage formats and sources
- Open-source nature fosters community support and customization
- Scalable architecture adapts well to growing data needs
Cons
- Complex configuration can be challenging for beginners
- Performance varies depending on cluster setup and query complexity
- Limited support for certain advanced SQL features compared to traditional RDBMSs
- Potential resource intensiveness requiring careful infrastructure planning