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Apache Drill

72
171
+ 1
16
Flyway

286
563
+ 1
33
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Apache Drill vs Flyway: What are the differences?

Apache Drill and Flyway are both popular tools in the software development landscape, each serving different purposes. Here are the key differences between the two:

  1. Primary Use Case: Apache Drill is a distributed SQL query engine designed for interactive ad-hoc queries on large-scale datasets, supporting various data formats. On the other hand, Flyway is a database migration tool specifically built for managing and applying incremental changes to database schemas.

  2. Scalability: Apache Drill offers horizontal scalability with the ability to handle massive datasets across multiple nodes in a cluster, making it suitable for big data processing. In contrast, Flyway primarily focuses on managing database schema migrations within a single database instance, limiting its scalability compared to Apache Drill.

  3. Query Performance: Apache Drill is optimized for querying data across various data sources, providing high-performance query processing capabilities. Flyway, being a database migration tool, does not involve query execution and therefore does not impact query performance as Apache Drill does.

  4. Data Source Support: Apache Drill supports querying data from various sources such as HDFS, NoSQL databases, cloud storage, and more, offering flexibility in data access. Flyway, being a database migration tool, does not interact directly with data sources but instead manages database schema changes.

  5. Version Control: Flyway emphasizes version control for database schemas, allowing developers to track and manage changes over time using migration scripts. In contrast, Apache Drill is not centered around version control but focuses on providing a streamlined querying experience across different data formats and sources.

  6. Integration: While Apache Drill primarily integrates with data sources for querying purposes, and is commonly used in analytics and reporting scenarios, Flyway integrates with continuous integration/continuous deployment (CI/CD) processes to automate database schema migrations in software development workflows.

In Summary, Apache Drill is a scalable SQL query engine for diverse data formats, while Flyway focuses on managing database schema migrations in software development processes.

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Pros of Apache Drill
Pros of Flyway
  • 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

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Cons of Apache Drill
Cons of Flyway
    Be the first to leave a con
    • 3
      "Undo Migrations" requires pro version, very expensive

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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.

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    What companies use Apache Drill?
    What companies use Flyway?
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    What tools integrate with Apache Drill?
    What tools integrate with Flyway?

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    What are some alternatives to Apache Drill and Flyway?
    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