Apache Drill vs Flyway vs Liquibase

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Apache Drill

71
170
+ 1
16
Flyway

289
562
+ 1
33
Liquibase

440
646
+ 1
70

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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Pros of Apache Drill
Pros of Flyway
Pros of Liquibase
  • 4
    NoSQL and Hadoop
  • 3
    Free
  • 3
    Lightning speed and simplicity in face of data jungle
  • 2
    Well documented for fast install
  • 1
    SQL interface to multiple datasources
  • 1
    Nested Data support
  • 1
    Read Structured and unstructured data
  • 1
    V1.10 released - https://drill.apache.org/
  • 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
  • 18
    Great database tool
  • 18
    Many DBs supported
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Unique open source tool
  • 5
    Database version controller
  • 2
    Precondition checking
  • 2
    Supports NoSQL and Graph DBs

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Cons of Apache Drill
Cons of Flyway
Cons of Liquibase
    Be the first to leave a con
    • 3
      "Undo Migrations" requires pro version, very expensive
    • 5
      Documentation is disorganized
    • 5
      No vendor specifics in XML format - needs workarounds

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    - No public GitHub repository available -

    What is Apache Drill?

    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.

    What is 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.

    What is Liquibase?

    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.

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    What companies use Apache Drill?
    What companies use Flyway?
    What companies use Liquibase?

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    What tools integrate with Apache Drill?
    What tools integrate with Flyway?
    What tools integrate with Liquibase?

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    What are some alternatives to Apache Drill, Flyway, and Liquibase?
    Presto
    Distributed SQL Query Engine for Big Data
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    Apache Calcite
    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
    Apache Impala
    Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
    Druid
    Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
    See all alternatives