Software Alternatives, Accelerators & Startups

Apache Flink VS Travis CI

Compare Apache Flink VS Travis CI and see what are their differences

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Apache Flink logo Apache Flink

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

Travis CI logo Travis CI

Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Travis CI Travis CI for Simple, Flexible, Trustworthy CI/CD Tools
    Travis CI for Simple, Flexible, Trustworthy CI/CD Tools //
    2024-10-22

Founded in Berlin, Germany, in 2011, Travis CI grew quickly and became a trusted name in CI/CD, gaining popularity among software developers and engineers starting their careers. In 2019, Travis CI became part of Idera, Inc., the parent company of global B2B software productivity brands whose solutions enable technical users to work faster and do more with less.

Today, developers at 300,000 organizations use Travis CI. We often hear about the pangs of nostalgia these folks feel when they use Travis CI, as it was one of the first tools they used at the beginning of their career journey. We are still much here, supporting those who have stuck with us along the way and remaining the best next destination on your CI/CD journey, whether you’re building your first pipelines or trying to bring some thrill back into work that’s become overloaded with AI and DevSecOps complexity.

Our Mission:

We deliver the simplest and most flexible CI/CD tool to developers eager for ownership of their code quality, transparency in how they problem-solve with peers, and pride in the results they create—one LOC at a time.

Our Promise:

We aim for nothing less than to guide every developer to the next phase of their CI/CD adventure—even if that means growing beyond our platform.

Travis CI

$ Details
paid Free Trial $13.75 / Monthly (Per Month, Per User)
Release Date
2011 January

Apache Flink features and specs

  • Real-time Stream Processing
    Apache Flink is designed for real-time data streaming, offering low-latency processing capabilities that are essential for applications requiring immediate data insights.
  • Event Time Processing
    Flink supports event time processing, which allows it to handle out-of-order events effectively and provide accurate results based on the time events actually occurred rather than when they were processed.
  • State Management
    Flink provides robust state management features, making it easier to maintain and query state across distributed nodes, which is crucial for managing long-running applications.
  • Fault Tolerance
    The framework includes built-in mechanisms for fault tolerance, such as consistent checkpoints and savepoints, ensuring high reliability and data consistency even in the case of failures.
  • Scalability
    Apache Flink is highly scalable, capable of handling both batch and stream processing workloads across a distributed cluster, making it suitable for large-scale data processing tasks.
  • Rich Ecosystem
    Flink has a rich set of APIs and integrations with other big data tools, such as Apache Kafka, Apache Hadoop, and Apache Cassandra, enhancing its versatility and ease of integration into existing data pipelines.

Possible disadvantages of Apache Flink

  • Complexity
    Flink’s advanced features and capabilities come with a steep learning curve, making it more challenging to set up and use compared to simpler stream processing frameworks.
  • Resource Intensive
    The framework can be resource-intensive, requiring substantial memory and CPU resources for optimal performance, which might be a concern for smaller setups or cost-sensitive environments.
  • Community Support
    While growing, the community around Apache Flink is not as large or mature as some other big data frameworks like Apache Spark, potentially limiting the availability of community-contributed resources and support.
  • Ecosystem Maturity
    Despite its integrations, the Flink ecosystem is still maturing, and certain tools and plugins may not be as developed or stable as those available for more established frameworks.
  • Operational Overhead
    Running and maintaining a Flink cluster can involve significant operational overhead, including monitoring, scaling, and troubleshooting, which might require a dedicated team or additional expertise.

Travis CI features and specs

  • Ease of Use
    Travis CI offers a very user-friendly interface and straightforward setup process, making it accessible even for those new to CI/CD.
  • Integration with GitHub
    Seamlessly integrates with GitHub, allowing for automatic builds and tests triggered on pull requests and commits.
  • Wide Range of Language Support
    Supports numerous programming languages out of the box, providing built-in configurations for many common languages such as Python, Ruby, JavaScript, and Java.
  • Extensive Documentation
    Offers comprehensive and well-organized documentation, which can help users troubleshoot and understand complex setups.
  • Build Matrix
    Run your unit and integration tests across any combination of environments for comprehensive automation and absolute quality guarantees on your way to production.

Possible disadvantages of Travis CI

  • Pricing for Private Repositories
    Can become expensive for private repositories and larger teams, especially compared to some competitors that offer more generous free tiers.
  • Performance Issues
    Users have reported occasional performance issues, including slower build times and longer wait periods for queued jobs.
  • Limited Advanced Features
    Might lack some advanced features and customizations that are available in other CI/CD platforms, making it less suitable for very complex workflows.
  • Concurrency Limits
    Has limitations on the number of concurrent builds that can run, which can slow down development cycles for larger projects with many contributors.
  • Complex Configuration for Large Projects
    Configuration can become cumbersome and complex for large projects with intricate dependencies and multiple build steps.

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Travis CI videos

Setting Up Your First Build

More videos:

  • Tutorial - CI/CD Core Concepts
  • Tutorial - How to Get Started with Travis CI in 0 to 5 Minutes

Category Popularity

0-100% (relative to Apache Flink and Travis CI)
Big Data
100 100%
0% 0
Continuous Integration
0 0%
100% 100
Stream Processing
100 100%
0% 0
DevOps Tools
0 0%
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 Apache Flink and Travis CI

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Travis CI Reviews

The Best Alternatives to Jenkins for Developers
Travis CI is another popular cloud-based CI/CD solution that integrates well with GitHub. Known for its simplicity and ease of setup, Travis CI is a great choice for open-source projects or teams that primarily work with GitHub repositories. Its configuration is based on a YAML file, making it easy to define and manage build workflows.
Source: morninglif.com
Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
Travis CI is known for its simple setup, quick parallel builds, and support for multiple architectures, including popular enterprise options like IBM PowerPC and IBM Z. It’s claimed that pipelines require approximately 33% less configurable code than other CI/CD solutions, which helps make the platform more approachable. Use it instead of Jenkins when you want a fast...
Source: spacelift.io
10 Jenkins Alternatives in 2021 for Developers
You might find that Travis CI proudly promotes the fact that they have more than 900,000 open-source projects and 600,000 users on their platform with Travis CI. Automated deployment can be quickly established by following the tutorials and documentation that are currently available on their website.
The Best Alternatives to Jenkins for Developers
Travis CI is a continuous integration and testing CI/CD tool. It is free of cost for open source projects and provides seamless integration with GitHub. It supports more than 20 languages, like Node.js, PHP, Python, etc. along with Docker.
Continuous Integration. CircleCI vs Travis CI vs Jenkins
Travis CI is recommended for cases when you are working on the open-source projects, that should be tested in different environments.
Source: djangostars.com

Social recommendations and mentions

Based on our record, Apache Flink should be more popular than Travis CI. It has been mentiond 41 times since March 2021. 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.

Apache Flink mentions (41)

  • What is Apache Flink? Exploring Its Open Source Business Model, Funding, and Community
    Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 11 days ago
  • Is RisingWave the Next Apache Flink?
    Apache Flink, known initially as Stratosphere, is a distributed stream processing engine initiated by a group of researchers at TU Berlin. Since its initial release in May 2011, Flink has gained immense popularity in both academia and industry. And it is currently the most well-known streaming system globally (challenge me if you think I got it wrong!). - Source: dev.to / 24 days ago
  • 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 / 29 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 1 month ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Apache Flink: Flink is a unified streaming and batching platform developed under the Apache Foundation. It provides support for Java API and a SQL interface. Flink boasts a large ecosystem and can seamlessly integrate with various services, including Kafka, Pulsar, HDFS, Iceberg, Hudi, and other systems. - Source: dev.to / about 1 month ago
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Travis CI mentions (6)

  • Front-end Guide
    We used Travis CI for our continuous integration (CI) pipeline. Travis is a highly popular CI on Github and its build matrix feature is useful for repositories which contain multiple projects like Grab's. We configured Travis to do the following:. - Source: dev.to / over 2 years ago
  • Flutter
    CI/CD for autobuild + autotests (Codemagic or Travis CI). Source: over 2 years ago
  • How To Build Your First CI/CD Pipeline With Travis CI?
    Step 2: Log on to Travis CI and sign up with your GitHub account used above. - Source: dev.to / almost 3 years ago
  • What does a DevOps engineer actually do?
    Some other hosted CI products, such as CircleCI and Travis Cl, are completely hosted in the cloud. It is becoming more popular for small organizations to use hosted CI products, as they allow engineering teams to begin continuous integration as soon as possible. Source: almost 4 years ago
  • Hosting an Angular application on GitHub Pages using Travis CI
    1. Let's create the account. Access the site https://travis-ci.com/ and click on the button Sign up. - Source: dev.to / almost 4 years ago
View more

What are some alternatives?

When comparing Apache Flink and Travis CI, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.