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Flyway VS Apache Spark

Compare Flyway VS Apache Spark and see what are their differences

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Flyway logo Flyway

Flyway is a database migration tool.

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Flyway Landing page
    Landing page //
    2023-08-02
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Flyway features and specs

  • Database Versioning
    Flyway provides robust version control for your database schemas, which ensures that all changes are tracked and can be rolled back if necessary.
  • Ease of Use
    Easy to set up and use, Flyway supports several databases and integrates seamlessly with CI/CD pipelines, making it a versatile tool.
  • Script-based Migrations
    Allows for migration scripts to be written in SQL or Java, offering flexibility in how schema changes are implemented.
  • Idempotence
    Ensures that migration scripts are idempotent, meaning that they can be applied multiple times without causing conflicts or errors, which is vital for predictable deployments.
  • Tool Integration
    Integrates well with various build tools and frameworks like Maven, Gradle, and Spring Boot, enhancing its utility across different environments.
  • Community and Support
    Large and active community along with comprehensive documentation and commercial support options, helping users resolve issues efficiently.

Possible disadvantages of Flyway

  • Learning Curve
    New users might experience a learning curve understanding all of its features, configurations, and best practices.
  • Limited Undo Functionality
    Flyway doesn't natively support down migrations (rollbacks); this has to be implemented manually, increasing the workload on developers.
  • Initial Setup Overhead
    Requires some initial setup and configuration which might be cumbersome for small projects or one-off databases.
  • No Schema Diffing
    Unlike some other tools, Flyway does not natively support schema diffing (the ability to generate change scripts from schema differences), so developers need to write every change explicitly.
  • Dependency Management
    Managing dependencies for Flyway scripts can become complex, particularly in larger projects, as it requires careful coordination across development teams.
  • License Cost
    While Flyway offers a free version, some advanced features are locked behind a paid version, which could be a constraint for some organizations.

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

Analysis of Flyway

Overall verdict

  • Overall, Flyway is a robust and efficient tool for database version control and migrations, praised for its simplicity and effectiveness in managing database changes across different environments.

Why this product is good

  • Flyway (flywaydb.org) is considered good because it simplifies the process of managing database migrations by providing a structured and version-controlled way to handle schema changes. It supports a wide range of databases and offers both command-line and API access, making it versatile for different development workflows. Additionally, Flyway's migration scripts are executed in a consistent manner, ensuring database integrity and reducing the risk of errors during deployments.

Recommended for

    Flyway is recommended for developers and teams looking for a straightforward solution to manage database migrations, especially in agile and continuous integration/continuous deployment (CI/CD) environments. It is particularly useful for teams that need to ensure database consistency across different stages of development and production.

Analysis of Apache Spark

Overall verdict

  • Yes, Apache Spark is generally considered good, especially for organizations and individuals that require efficient and fast data processing capabilities. It is well-supported, frequently updated, and widely adopted in the industry, making it a reliable choice for big data solutions.

Why this product is good

  • Apache Spark is highly valued because it provides a fast and general-purpose cluster-computing framework for big data processing. It offers extensive libraries for SQL, streaming, machine learning, and graph processing, making it versatile for various data processing needs. Its in-memory computing capability boosts the processing speed significantly compared to traditional disk-based processing. Additionally, Spark integrates well with Hadoop and other big data tools, providing a seamless ecosystem for large-scale data analysis.

Recommended for

  • Data scientists and engineers working with large datasets.
  • Organizations leveraging machine learning and analytics for decision-making.
  • Businesses needing real-time data processing capabilities.
  • Developers looking to integrate with Hadoop ecosystems.
  • Teams requiring robust support for multiple data sources and formats.

Flyway videos

+ Add

Flyway Review: Echo XLT Duck Call

More videos:

  • Review - Flyway Review: Echo Timber Duck Call
  • Review - Beer Review # 3455 Flyway Brewing Early Bird IPA

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Flyway and Apache Spark)

Flyway

Apache Spark

MySQL Tools
100 100%
MySQL Tools
0% 0
Databases
20 20%
Databases
80% 80
Online Services
100 100%
Online Services
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Flyway and Apache Spark

Flyway Reviews

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Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Apache Spark might be a bit more popular than Flyway. We know about 70 links to it since March 2021 and only 61 links to Flyway. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Flyway mentions (61)

  • Best Database Migration Tools for Golang
    Flyway is a Java-based migration tool that’s widely used in enterprise settings. While not Go-native, you can integrate it into Go projects using its CLI or by calling its Java library. Flyway is great for teams needing robust versioning and audit-ready migration history. - Source: dev.to / 10 days ago
  • Run Flyway DB migrations with AWS Lambda and RDS - Part 1
    Usually there is a need to run SQL database updates: update table columns, add new rows, create a new schema etc. Often developer teams are using Flyway It is an open-source database SQL deployment tool. In Flyway, all DDL and DML changes to the database are called migrations. Migrations can be versioned or repeatable. - Source: dev.to / about 1 year ago
  • A Journey Towards A Scalable Multi-Tenant Application
    Our client's engineering team recommended Flyway and successfully used it to manage their migrations. We chose to adopt Flyway due to its simplicity, speed, reliability, and successful implementation by our client's engineering team. Their existing codebase and experiences allowed us to transition smoothly to Flyway. - Source: dev.to / 12 months ago
  • Let's write a simple microservice in Clojure
    The session logs show that the application loads configurations and establishes a connection with a PostgreSQL database. This involves initializing a HikariCP connection pool and Flyway for database migrations. The logs confirm that the database schema validation and migration checks were successful. The startup of the Jetty HTTP server follows, and the server becomes operational and ready to accept requests on... - Source: dev.to / about 1 year ago
  • Ask HN: What tool(s) do you use to code review and deploy SQL scripts?
    Also RedGate, but Flyway has some reasons to recommend it over RedGate Deploy depending on your DBAs/workflows: https://flywaydb.org/ (Though I don't think it is "complete" or "perfect", either.) EF Migrations are in a really good place now if you like/don't mind C# as a language (and you can easily embed SQL inside the C#, too, but there are benefits to being able to also run high level C# code). With today's... - Source: Hacker News / about 1 year ago
View more

Apache Spark mentions (70)

  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / about 2 months ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / about 2 months ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 3 months ago
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 3 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing Flyway and Apache Spark, you can also consider the following products

Liquibase - Database schema change management and release automation solution.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Slick - A jquery plugin for creating slideshows and carousels into your webpage.

Hadoop - Open-source software for reliable, scalable, distributed computing

Sequel Pro - MySQL database management for Mac OS X

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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