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  5. Apache Calcite vs Apache Drill

Apache Calcite vs Apache Drill

OverviewComparisonAlternatives

Overview

Apache Drill
Apache Drill
Stacks74
Followers171
Votes16
Apache Calcite
Apache Calcite
Stacks11
Followers29
Votes0
GitHub Stars5.0K
Forks2.4K

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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Detailed Comparison

Apache Drill
Apache Drill
Apache Calcite
Apache Calcite

Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.

It is an open source framework for building databases and data management systems. It includes a SQL parser, an API for building expressions in relational algebra, and a query planning engine

Low-latency SQL queries;Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.;ANSI SQL;Nested data support;Integration with Apache Hive (queries on Hive tables and views, support for all Hive file formats and Hive UDFs);BI/SQL tool integration using standard JDBC/ODBC drivers
Sql parsing; Query optimization
Statistics
GitHub Stars
-
GitHub Stars
5.0K
GitHub Forks
-
GitHub Forks
2.4K
Stacks
74
Stacks
11
Followers
171
Followers
29
Votes
16
Votes
0
Pros & Cons
Pros
  • 4
    NoSQL and Hadoop
  • 3
    Lightning speed and simplicity in face of data jungle
  • 3
    Free
  • 2
    Well documented for fast install
  • 1
    V1.10 released - https://drill.apache.org/
No community feedback yet
Integrations
No integrations available
jQuery
jQuery
MySQL
MySQL
MongoDB
MongoDB
SQLite
SQLite

What are some alternatives to Apache Drill, Apache Calcite?

Node.js

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

Rails

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

Symfony

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

Spring Boot

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.

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