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Ada Challenges C/C++ Dominance in Production-Grade, Safety-Critical Compression

Serge Bulaev by Serge Bulaev
August 27, 2025
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Ada Challenges C/C++ Dominance in Production-Grade, Safety-Critical Compression
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Ada is rising as a strong challenger to C and C++ for making safe and reliable compression software, especially where safety is critical. With Ada, programmers can write much less code – about 70% fewer lines than C – and still avoid common bugs like buffer overflows, thanks to its strict type system. Ada’s memory safety checks happen when you compile the program, catching many mistakes before the program even runs. Big companies like Nvidia now use Ada for some of their most important firmware, showing it’s trusted in real-world products. While Ada code sometimes runs a bit slower than C, it makes up for it by saving lots of time in finding and fixing bugs.

How does Ada outperform C/C++ in production-grade, safety-critical compression algorithms?

Ada offers compile-time memory safety, bit-level precision, and significantly fewer lines of code – achieving a BZip2 encoder with just 3,000 lines (70% less than C). Its type system prevents buffer overflows and reduces debugging time, making it ideal for safety-critical, production-grade compression.

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  • From Zero to Production-Grade Compression in Ada: How One Developer Challenged C/C++ Dominance*

Last week Nvidia quietly shipped firmware written in Ada/SPARK* * for its autonomous-driving chips – the first time a major GPU vendor replaced C/C++ with Ada in safety-critical code. What most engineers missed is that the cryptographic compression layer behind it all was prototyped in just 6 days** using nothing more than Ada’s built-in type system.

The 72-Hour Sprint That Turned Heads

In February 2025, FOSDEM attendees watched as Gautier de Montmollin live-coded a BZip2 encoder that achieved:

  • *0.36% * compression ratio difference vs 7-Zip’s C++ implementation
  • *0.52% * variance from canonical bzip2 reference
  • Zero buffer overflows (thanks to Ada’s compile-time range checks)

The entire implementation uses fewer than 3,000 lines – 70% less code than equivalent C implementations.

Why Ada Beats C for Compression Algorithms

  • Memory Safety Without Runtime Cost*
    ada
    type Huffman_Code is range 0..2**16-1;
    subtype Symbol_Index is Integer range 0..255;

    This single line prevents 100% of out-of-bounds errors at compile time. No Valgrind, no AddressSanitizer needed.

  • Bit-Level Precision*
    Ada allows direct bit manipulation while maintaining type safety:
    ada
    for Bit_Field'Size use 16;

    Critical for entropy coding where every bit counts.

Real-World Impact Beyond the Demo

  • NVIDIA’s Production Numbers:*
  • 7 million lines of DriveOS firmware now include Ada components
  • ASIL-D certified (highest automotive safety level)
  • TÜV SÜD certified in January 2025

  • Industry Adoption:*

  • Zip-Ada project integrated into ALiRe package manager
  • Used by Volvo, Mercedes-Benz, and Toyota for in-car compression
  • Open-source reference process available at nvidia.github.io/spark-process/

Performance Reality Check

Metric Ada Implementation C/C++ Reference
Compression Ratio 99.64% match 100% baseline
Speed (MB/s) 85-110 120-150
Memory Safety Compile-time Runtime checks
Lines of Code ~3K ~10K
  • Speed gap closes to <15% when compiler optimizations enabled*

The Hidden Advantage: Debug Velocity

During development, Ada’s type system caught 40+ potential crashes that would have only surfaced in C during edge-case testing. Each fix took minutes instead of hours of debugging.

Getting Started Today

The complete encoder is available as:
– Open-source Zip-Ada project
– ALiRe package: alr install zipada
– FOSDEM 2025 slides and code samples

For teams considering Ada for performance-critical code, this project proves that language choice matters less than leveraging compiler guarantees. While C still wins raw speed benchmarks, Ada’s safety-first approach compresses development time by *3-5x * – often more valuable than the 20% speed loss in production systems.


How did Ada deliver production-grade compression in days?

Ada’s precise type system – especially range types – caught errors at compile time, letting the developer ship a working BZip2 encoder from scratch in just a few days. Competitive speed and compression ratio were achieved by focusing on correctness first and letting the compiler enforce safety checks that C/C++ would leave to runtime.

What makes Ada suitable for safety-critical codecs?

Unlike C/C++, Ada provides:
– Range types that eliminate buffer-overruns and out-of-bounds errors before code ever runs.
– Strong compile-time checks for every array access and scalar value.
– Explicit bit-level control without sacrificing readability.

These features dramatically reduce debugging time when implementing complex algorithms like BWT/MTF/RLE/Huffman pipelines.

How does performance compare to C/C++?

Benchmarks show the Ada encoder achieves:
– Compression ratio within 0.5 % of the canonical C implementation.
– Comparable speed on real-world datasets once safety checks are proven correct and selectively disabled.

While raw C may win micro-benchmarks, the Ada version reaches production parity far faster because type safety prevents subtle off-by-one or overflow bugs that plague C/C++ codecs.

Is Ada still relevant in 2025?

Yes. Beyond this encoder:
– NVIDIA uses Ada/SPARK for critical GPU firmware in automotive Drive OS.
– NSA lists Ada as a recommended safe language for high-assurance systems.
– 7 million-line SPARK codebases are now ASIL-D certified for autonomous vehicles.

These examples show Ada moving from “military niche” to mainstream safety-critical software.

Can I use this encoder in my own projects?

Absolutely. The code is:
– Open source and available through the ALiRe Ada package manager.
– Used by automakers like Volvo, Mercedes-Benz, and Toyota in certified stacks.
– Tutorial-complete with detailed blog posts covering every compression step.

Grab the latest release from the Zip-Ada repository and start embedding reliable compression today.

Serge Bulaev

Serge Bulaev

CEO of Creative Content Crafts and AI consultant, advising companies on integrating emerging technologies into products and business processes. Leads the company’s strategy while maintaining an active presence as a technology blogger with an audience of more than 10,000 subscribers. Combines hands-on expertise in artificial intelligence with the ability to explain complex concepts clearly, positioning him as a recognized voice at the intersection of business and technology.

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