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Apache Calcite vs Apache Drill: What are the differences?
Introduction
Apache Calcite and Apache Drill are both open-source projects developed under the Apache Software Foundation that are designed to provide query optimization and execution capabilities for different data sources. While both projects have similar goals, there are several key differences between them.
Query Model and Language Support: Apache Calcite provides a more flexible query model and supports a wider range of SQL features compared to Apache Drill. Calcite supports standard SQL, as well as extensions like JDBC and ODBC, making it suitable for integrating with existing SQL-based tools and applications. On the other hand, Apache Drill emphasizes on providing a schema-free, JSON-like query language, known as SQL++, which allows for querying a variety of data sources without the need for predefined schemas.
Pluggable Query Optimization: Apache Calcite offers a highly extensible query optimization framework that allows developers to customize and plug in their own rules for improving query performance. This flexibility makes it an ideal choice for optimizing complex queries and code generation at runtime. In contrast, Apache Drill focuses more on providing automatic query optimization capabilities out of the box, which simplifies the development process but limits the ability to fine-tune optimization strategies.
Data Source Support: Apache Calcite has a wider range of connectors and adapters available for connecting to various data sources, including traditional relational databases, CSV files, and NoSQL databases, among others. Calcite's modular design allows for easy integration with different data sources, making it suitable for building data integration and federation solutions. On the other hand, Apache Drill is primarily designed for querying semi-structured and nested data formats like JSON, Parquet, and Avro, and provides built-in support for reading and querying data stored in these formats.
Performance and Scalability: Apache Calcite is known for its efficient query optimization and execution engine that can handle large-scale datasets and parallel query processing. It leverages Apache Calcite's cost-based optimizer, which uses statistics and heuristics to generate optimal query plans. Apache Drill, on the other hand, focuses more on providing interactive query capabilities on large datasets, with distributed query execution and an architecture optimized for scalability. It uses a push-based execution model that enables parallel processing of queries across a cluster.
Community and Ecosystem: Apache Calcite has a larger and more mature community compared to Apache Drill, resulting in a broader range of community-contributed extensions, connectors, and tools available for integration with other Apache projects and third-party systems. Apache Drill, while still actively developed and maintained, has a smaller community but offers some unique features like native integration with Hadoop and HBase, making it suitable for big data analytics use cases.
Adoption and Industry Support: Apache Calcite is widely adopted by a variety of organizations and has gained industry support from major players in the data management and analytics space. It is often used as a foundational technology for building custom data management solutions and analytical applications. In comparison, Apache Drill has seen less widespread adoption and is primarily used in specific use cases that require querying and analyzing semi-structured and nested data formats, particularly in the big data ecosystem.
In summary, Apache Calcite provides a more extensive SQL language support, customizable query optimization capabilities, and a wider range of data source connectors, while Apache Drill specializes in querying semi-structured and nested data formats, offers built-in support for Hadoop and HBase, and prioritizes interactive query performance on large datasets.
Pros of Apache Calcite
Pros of Apache Drill
- NoSQL and Hadoop4
- Free3
- Lightning speed and simplicity in face of data jungle3
- Well documented for fast install2
- SQL interface to multiple datasources1
- Nested Data support1
- Read Structured and unstructured data1
- V1.10 released - https://drill.apache.org/1