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Bazel VS Apache Thrift

Compare Bazel VS Apache Thrift and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Bazel logo Bazel

Bazel is a tool that automates software builds and tests.

Apache Thrift logo Apache Thrift

An interface definition language and communication protocol for creating cross-language services.
  • Bazel Landing page
    Landing page //
    2024-07-17
  • Apache Thrift Landing page
    Landing page //
    2019-07-12

Bazel features and specs

  • High Scalability
    Bazel is designed to handle large codebases and complex dependency graphs efficiently, which makes it suitable for projects with millions of lines of code.
  • Incremental Builds
    Bazel supports incremental builds by only rebuilding parts of the project that have changed, thus saving time and computational resources.
  • Cross-Platform Support
    Bazel supports different platforms including Linux, MacOS, and Windows, enabling consistent build processes across diverse development environments.
  • Reproducible Builds
    It ensures that the same source code will yield identical build outputs, which is beneficial for debugging and ensuring consistency across different environments.
  • Extensibility
    Bazel is highly extensible, allowing developers to define custom build rules and macros to fit their specific needs.
  • Wide Language Support
    Out of the box, Bazel supports many programming languages such as Java, C++, Python, and Go, with the ability to extend to other languages.

Possible disadvantages of Bazel

  • Steep Learning Curve
    Bazel has a complex configuration language and many internal concepts, which might be challenging for new users to learn and adopt quickly.
  • Limited IDE Integration
    Compared to other build systems, Bazel might have limited or less mature support in certain Integrated Development Environments (IDEs), potentially hindering productivity.
  • Overhead of Remote Caching
    While remote caching is a powerful feature, setting it up and maintaining it can introduce additional overhead and complexity to the build process.
  • Initial Setup Complexity
    Getting a project up and running with Bazel can require significant upfront configuration, especially for projects migrating from another build system.
  • Limited Community Support
    Compared to more established build systems, Bazel has a smaller community, which might result in fewer resources and shared knowledge available online.

Apache Thrift features and specs

  • Cross-Language Support
    Apache Thrift supports numerous programming languages including Java, Python, C++, Ruby, and more, enabling seamless communication between services written in different languages.
  • Efficient Serialization
    Thrift offers efficient binary serialization which helps in reducing the payload size and improves the communication speed between services.
  • Service Definition Flexibility
    Thrift provides a robust interface definition language (IDL) for defining and generating code for services with strict type checking, fostering strong contract interfaces.
  • Scalability
    Due to its lightweight and efficient serialization mechanisms, Apache Thrift can handle a large number of simultaneous client connections, making it suitable for scalable distributed systems.
  • Versioning Support
    Thrift supports service versioning which helps in evolving APIs without disrupting existing services or clients.

Possible disadvantages of Apache Thrift

  • Steep Learning Curve
    For new users, especially those not familiar with RPC frameworks, learning and understanding Thriftโ€™s IDL and operations can be complex and time-consuming.
  • Documentation and Community Support
    Compared to some alternative technologies, Apache Thrift's documentation and community support can be less robust, which might pose challenges in troubleshooting or seeking guidance.
  • Lack of Advanced Features
    Thrift does not support some advanced features like streaming or multiplexing out of the box, which could limit its use in complex systems requiring these functionalities.
  • Infrastructure Overhead
    Integrating Thrift into an existing system might introduce infrastructure overhead both in initial setup and ongoing maintenance, especially when dealing with multiple languages.
  • Protocol Limitations
    While Thrift is highly efficient, its protocol limitations might require additional workarounds for certain data structures or transport mechanisms, complicating development.

Analysis of Bazel

Overall verdict

  • Bazel is a powerful and robust build tool, especially for large-scale projects and organizations that require high build performance and scalability. Its advanced features can significantly improve the efficiency of development workflows. However, there is a learning curve, and the complexity of rules and configurations may not suit smaller projects or those with simpler build requirements.

Why this product is good

  • Bazel is a build tool developed by Google that is designed to support fast and correct builds. It is particularly known for its ability to handle large codebases and complex build dependencies efficiently. Bazel uses a single build language across different platforms, and its build system provides features such as incremental builds, remote build execution, and caching, which make it highly suitable for repetitive and reproducible builds. The tool is capable of handling projects written in multiple languages, such as Java, C++, Python, and more, due to its extensibility with custom rules.

Recommended for

  • Large-scale and complex software projects
  • Organizations that utilize monorepos
  • Developers needing cross-platform support
  • Teams looking to leverage remote build execution
  • Projects with complex dependencies across multiple programming languages

Analysis of Apache Thrift

Overall verdict

  • Yes, Apache Thrift is considered to be a good option for projects needing cross-language communication and efficient serialization. Its efficiency and wide adoption have proven it to be a reliable framework in many production environments.

Why this product is good

  • Apache Thrift is a widely used framework for scalable cross-language services development. It allows for seamless communication between programs written in different languages by providing code generation and serialization capabilities for a variety of languages. Thrift supports an efficient binary protocol and is highly customizable, making it a robust choice for services that require performance and flexibility. Additionally, it's an open-source project under the Apache Software Foundation, which ensures it has a strong community and ongoing updates.

Recommended for

  • Organizations that require cross-language service communication
  • Projects that need high-performance and low-latency data transmission
  • Developers looking for a framework with support for multiple programming languages
  • Teams looking for a customizable serialization protocol

Bazel videos

+ Add

Kebenaran dari Powerbank Bazel 450 Series

More videos:

  • Review - BazelCon 2019 Day 2: Half-Day Bazel Bootcamp (Part 1)
  • Review - What's new in Bazel build and Gerrit Code Review

Apache Thrift videos

+ Add

Apache Thrift

Category Popularity

0-100% (relative to Bazel and Apache Thrift)

Bazel

Apache Thrift

Front End Package Manager
100 100%
Front End Package Manager
0% 0
Web Servers
0 0%
Web Servers
100% 100
Continuous Integration
100 100%
Continuous Integration
0% 0
Web And Application Servers
0 0%
Web And Application Servers
100% 100

User comments

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Social recommendations and mentions

Based on our record, Bazel should be more popular than Apache Thrift. It has been mentiond 69 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.

Bazel mentions (69)

  • Designing for Scale: Repository Structures that Boost Software Development Productivity
    The solution isn't always a knee-jerk switch to a polyrepo. As radwanalmsora highlighted in the discussion, more often it's about investing in robust tooling for your monorepo. Tools like Bazel, Nx, or Turborepo can build graphs to understand dependencies, ensuring CI only runs affected targets. Combined with CODEOWNERS files, these tools enable even massive monorepos (think Google or Meta scale) to function... - Source: dev.to / 3 months ago
  • Monorepo vs Multi-Repo: Why AI Agents Tip the Scale
    Monorepo gave you atomic cross-service changes, a single dependency graph, unified CI/CD, and zero version skew between internal libraries. The cost was large clone sizes, slower CI without build caching, complex permission models, and the need for specialized tooling like Bazel, Pants, Nx, or Buck2 to keep builds fast. - Source: dev.to / 3 months ago
  • Swift and Cute 2D Game Framework: Setting Up a Project with CMake
    I really recommend Bazel (https://bazel.build). - Source: Hacker News / about 1 year ago
  • Why Is This Site Built with C
    Agree regarding easiness of building rust (`cargo build`), extremely satisfying (git clone and cargo build...) Does anyone have any comments on Bazel[1] because I'm kind of settling on using it whenever it's appropriate (c/c++)?.. [1] https://bazel.build/. - Source: Hacker News / over 1 year ago
  • 7 Ways to Use the SLSA Framework to Secure the SDLC
    To achieve reproducibility, your build process must control for environmental differences like timestamps, file ordering, or machine-specific configurations. Tools like Bazel or Nixprovide deterministic build systems that lock down these variables. For instance, Bazel uses a content-addressable cache, meaning the same source code and dependencies always result in the same build outputs, even when run on different... - Source: dev.to / almost 2 years ago
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Apache Thrift mentions (13)

  • Show HN: TypeSchema โ€“ A JSON specification to describe data models
    I once read a paper about Apache/Meta Thrift [1,2]. It allows you to define data types/interfaces in a definition file and generate code for many programming languages. It was specifically designed for RPCs and microservices. [1]: https://thrift.apache.org/. - Source: Hacker News / almost 2 years ago
  • Delving Deeper: Enriching Microservices with Golang with CloudWeGo
    While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / over 2 years ago
  • Reddit System Design/Architecture
    Services in general communicate via Thrift (and in some cases HTTP). Source: over 3 years ago
  • Universal type language!
    Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: over 3 years ago
  • You worked on it? Why is it slow then?
    RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: almost 4 years ago
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What are some alternatives?

When comparing Bazel and Apache Thrift, you can also consider the following products

Gradle - Accelerate developer productivity. Gradle helps teams build, automate and deliver better software, faster. DocsExplore the documentation of Gradle. Find installation ..

Docker Hub - Docker Hub is a cloud-based registry service

GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.

Apache ZooKeeper - Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.

Please - A Cross-Language Build System

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

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