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

Apache Drill vs Flyway vs Liquibase

OverviewComparisonAlternatives

Overview

Liquibase
Liquibase
Stacks638
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K
Flyway
Flyway
Stacks304
Followers563
Votes33
GitHub Stars9.2K
Forks1.6K
Apache Drill
Apache Drill
Stacks74
Followers171
Votes16

Apache Drill vs Flyway vs Liquibase: What are the differences?

## Introduction

Key differences between Apache Drill and Flyway and Liquibase are:

1. **Primary Use Case**: Apache Drill is primarily used for querying structured and semi-structured data across different sources in real-time, providing a SQL interface for big data analysis. Flyway and Liquibase are specifically designed for database version control and schema migration tasks, ensuring smooth and consistent updates to the database schema over time.

2. **Target Audience**: Apache Drill is more suitable for data analysts and data scientists who need to quickly query and analyze large datasets without the need for ETL processes. Flyway and Liquibase, on the other hand, are targeted towards developers and database administrators responsible for managing database schemas and maintaining data integrity during application upgrades.

3. **Technology Stack Compatibility**: Apache Drill is compatible with various data storage technologies like Hadoop, NoSQL databases, and cloud storage solutions, enabling it to query and join data from disparate sources seamlessly. Flyway and Liquibase, in contrast, work directly with SQL databases such as MySQL, PostgreSQL, Oracle, and SQL Server, focusing on versioning and migrating database schemas in a controlled manner.

4. **Deployment Flexibility**: While Apache Drill can be deployed as a standalone distributed system or integrated with existing big data platforms like Hadoop, Flyway and Liquibase are typically integrated into the application's build and deployment process as part of the continuous integration/continuous deployment (CI/CD) pipeline, ensuring that database changes are applied consistently with each application release.

5. **Community Support and Documentation**: Apache Drill has an active open-source community that provides ongoing support, updates, and documentation for users. Flyway and Liquibase also have strong community support but tend to be more focused on database professionals, offering detailed guides and best practices for managing database changes in development and production environments.

6. **Data Source Connectivity**: Apache Drill offers support for a wide range of data sources including various file formats, databases, and big data platforms, making it a versatile choice for querying diverse data sources. Flyway and Liquibase primarily interact with relational databases through SQL scripts, allowing for precise control over database schema changes and ensuring data consistency across different environments.

In Summary, the key differences between Apache Drill and Flyway and Liquibase lie in their primary use cases, target audiences, technology stack compatibility, deployment flexibility, community support, and data source connectivity.

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Detailed Comparison

Liquibase
Liquibase
Flyway
Flyway
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.

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.

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
Supported databases: Oracle, SQL Server, SQL Azure, DB2, DB2 z/OS, MySQL, MariaDB, Google Cloud SQL, PostgreSQL, Redshift, Vertica, H2, Hsql, Derby, SQLite;Supported build tools: Maven, Gradle, Ant and SBT;Works on: Windows, Mac OSX, Linux, Java and Android
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
9.2K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
1.6K
GitHub Forks
-
Stacks
638
Stacks
304
Stacks
74
Followers
648
Followers
563
Followers
171
Votes
70
Votes
33
Votes
16
Pros & Cons
Pros
  • 18
    Great database tool
  • 18
    Many DBs supported
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Database version controller
Cons
  • 5
    Documentation is disorganized
  • 5
    No vendor specifics in XML format - needs workarounds
Pros
  • 13
    Superb tool, easy to configure and use
  • 9
    Very easy to config, great support on plain sql scripts
  • 6
    Is fantastic and easy to install even with complex DB
  • 4
    Simple and intuitive
  • 1
    Easy tool to implement incremental migration
Cons
  • 3
    "Undo Migrations" requires pro version, very expensive
Pros
  • 4
    NoSQL and Hadoop
  • 3
    Free
  • 3
    Lightning speed and simplicity in face of data jungle
  • 2
    Well documented for fast install
  • 1
    Read Structured and unstructured data
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
Windows
Windows
Java
Java
Gradle
Gradle
Apache Maven
Apache Maven
Docker
Docker
No integrations available

What are some alternatives to Liquibase, Flyway, 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.

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.

MySQL WorkBench

MySQL WorkBench

It enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort.

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