Apache Drill
Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage.
Overview
Apache Drill is a distributed MPP query layer that supports SQL and a JSON-based query language for querying a wide range of data sources, including Hadoop, NoSQL databases, and cloud storage. It is known for its schema-on-read capabilities.
✨ Key Features
- Schema-free SQL
- Distributed query execution
- Queries a wide range of data sources
- Supports nested data formats like JSON and Parquet
- User-defined functions (UDFs)
🎯 Key Differentiators
- Schema-free design
- Ability to query nested data
- Broad range of data source connectors
Unique Value: Provides the flexibility to query a wide variety of data sources, including complex and nested data, using standard SQL without defining a schema.
🎯 Use Cases (4)
✅ Best For
- Enabling SQL queries on complex, evolving data without the need for schema definition.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- High-performance, low-latency queries on well-structured data, where other engines might be more optimized.
🏆 Alternatives
Offers a more flexible, schema-free approach compared to traditional SQL query engines.
💻 Platforms
🔌 Integrations
💰 Pricing
Free tier: Open source and free to use.
🔄 Similar Tools in Query Engines
Trino
A high-performance, distributed SQL query engine for big data analytics, enabling users to query lar...
Google Cloud BigQuery
A fully-managed, serverless data warehouse that enables super-fast SQL queries using the processing ...
Dremio
A SQL lakehouse platform that enables high-performance BI and analytics directly on data lake storag...
Starburst
An enterprise-grade distribution of Trino (formerly PrestoSQL) with added features for security, con...
ClickHouse
An open-source, column-oriented database management system for online analytical processing (OLAP)....
Apache Druid
A real-time analytics database designed for fast slice-and-dice analytics on large data sets....