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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Apache Drill vs Liquibase

Apache Drill vs Liquibase

OverviewComparisonAlternatives

Overview

Liquibase
Liquibase
Stacks639
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K
Apache Drill
Apache Drill
Stacks74
Followers171
Votes16

Apache Drill vs Liquibase: What are the differences?

Introduction: Apache Drill and Liquibase are popular tools used in the field of data management and database migration. Below are key differences between the two tools:

  1. Use Case: Apache Drill is primarily used for interactive SQL querying across multiple data sources, including structured and semi-structured data, without requiring a predefined schema. On the other hand, Liquibase focuses on database change management and version control, allowing users to track, version, and deploy database schema changes easily.

  2. Technology Stack: Apache Drill is built on Apache Arrow and uses a distributed execution engine, enabling it to query large datasets quickly. Liquibase, on the other hand, is a standalone Java-based tool that integrates seamlessly with popular database management systems like MySQL, PostgreSQL, and Oracle.

  3. Flexibility: Apache Drill provides flexibility in querying different data formats like JSON, Parquet, AVRO, and others using SQL, making it suitable for big data analytics. Conversely, Liquibase offers flexibility in managing database schema changes and rolling back changes if needed, ensuring data integrity and consistency.

  4. Complexity: Apache Drill is more complex to set up and requires knowledge of distributed systems and query optimization techniques to leverage its full potential. Liquibase, on the other hand, is relatively easier to set up and use, making it a preferred choice for database administrators and developers looking to streamline their database change management processes.

  5. Community Support: Apache Drill has a strong community backing with regular updates and enhancements driven by the Apache Software Foundation, ensuring ongoing support and development. Liquibase also has a supportive community but may offer more commercial support options for enterprise users requiring additional assistance.

  6. Deployment: Apache Drill is typically deployed in a cluster environment to handle large-scale data processing tasks efficiently, making it suitable for enterprise data warehouses and analytical workloads. Whereas, Liquibase can be deployed in various environments, including development, testing, and production, allowing for seamless integration with existing CI/CD pipelines for database schema changes.

In Summary, Apache Drill is geared towards interactive SQL querying and big data analytics with support for various data formats, while Liquibase focuses on database change management and version control, offering flexibility and ease of use for managing schema changes in databases.

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Detailed Comparison

Liquibase
Liquibase
Apache Drill
Apache Drill

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

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.

Supports code branching and merging;Supports multiple developers;Supports multiple database types;Supports XML, YAML, JSON and SQL formats;Supports context-dependent logic;Cluster-safe database upgrades;Generate Database change documentation;Rollbacks;Generate Database "diff's";Run through your build process, embedded in your application or on demand;Automatically generate SQL scripts for DBA code review;Does not require a live database connection;Stored logic
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
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
639
Stacks
74
Followers
648
Followers
171
Votes
70
Votes
16
Pros & Cons
Pros
  • 18
    Many DBs supported
  • 18
    Great database tool
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Unique open source tool
Cons
  • 5
    No vendor specifics in XML format - needs workarounds
  • 5
    Documentation is disorganized
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/
Integrations
Amazon RDS for MariaDB
Amazon RDS for MariaDB
Travis CI
Travis CI
SAP HANA
SAP HANA
Oracle
Oracle
PostgreSQL
PostgreSQL
Sybase
Sybase
jFrog
jFrog
GitHub Actions
GitHub Actions
Firebird
Firebird
IBM DB2
IBM DB2
No integrations available

What are some alternatives to Liquibase, Apache Drill?

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.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

PostGIS

PostGIS

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

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