This comparison of MD5, Bcrypt, and Argon started as internal documentation for my team, but seemed worth sharing with the wider developer community. It's primarily for backend developers and security engineers who want a practical understanding of these hashing algorithms. While not exhaustive, this quantified comparison should give you a good sense of how these approaches differ. The information is readily verifiable through standard documentation.

MD5 vs Bcrypt/Argon

MD5 Bcrypt/Argon
First Published 1992 Bcrypt- 1999, Argon- 2015
Original Purpose Data integrity verification via checksums Specifically designed for password hashing
Speed Extremely fast (~70 billion hashes/second on GPU, ~330MB/second, ~400-600 nanoseconds per hash) Intentionally slow with configurable work factor
Security Against Brute Force Vulnerable (e.g., LinkedIn 2012 breach: 60% passwords cracked in 24h, 90% within 3 days) Highly resistant (what takes 40s in MD5 would take 12 years in Bcrypt)
Rainbow Table Protection None - vulnerable to precomputed tables with trillions of combinations Built-in salt protection makes rainbow tables ineffective
Hash Uniqueness Same password produces same hash, collisions possible Same password produces different hashes due to salting
Collision Resistance Poor - multiple inputs can produce the same hash Strong collision resistance
Future Proofing MD5None - becomes more vulnerable as computers get faster Adjustable work factor keeps pace with Moore's Law
Future Proofing MD5Single layer of defense Multiple layers of defense.
Industry adoption MD5Considered very unsafe, all major companies have moved away from it. Recommended by OWASP. They specifically argue against MD5/SHA1.

Bcrypt vs Argon

Bcrypt Argon
First Published Bcrypt paper, 1999 Argon Paper, 2015
Industry Adoption Industry standard, well-tested Current state-of-the-art, [Password-Hashing-Competiton 2015 Winner](https://argon2%20is%20a%20password%20hashing%20algorithm%20that%20won%20the%202015%20password%20hashing%20competition/) (industry's last major competition), recommended for new implementations (some call it over-kill for web dev.)
NPM Details NPM Package : ~2M weekly downloads, last update 1year ago, 111kB NPM Package: ~372k weekly downloads, last update 5 months ago, 866 kB
Features Supports salting, work factors (multiple iterations- 2^12 is industry standard), etc. Everything bcrypt + memory hard and configurable memory and CPU usage giving granular control. More robust against specialized hardware attacks (like ASICs/FPGAs)
Security Comparatively faster, less computationally intensive, good security Comparatively slower, more computationally intensive, great security.
Memory use ~4KB of memory per hash operation 32-128MB by default (configurable)
Speed ~300-400 milliseconds per hash (work factor 12) ~500-700 milliseconds per hash (recommended parameters)
Cost (~83-111 hours of CPU time, ~$8-12 in AWS compute costs) per 1 million hashes (~138-194 hours of CPU time, $14-20 in AWS compute costs) per 1 million hashes
Limitations Silently truncates passwords to 72 bytes. No password length limitations, handles long passwords natively
Recommendations Recommended, only if newer methods are unavailable. Recommended first choice by OWASP

Under the Hood

// Simplified implementation walkthrough for Argon/Bcrypt
const hashPassword() => {
  const workFactor = 12;
  const iterations =  2 ** workFactor;
  const rawPassword = 12345678;
  const salt = library.getSalt(); // returns 128 bit unique string; (can be configured in argon)
  let hashedPassword  = salt + '$' + rawPassword;
  while (iterations) {
    hashedPassword = library.hash(salt, hashedPassword);
    hashedPassword = salt + '$' + hashedPassoword;     
    iterations--; 
  }
	return hashedPassword;   
}      

const comparePassword(rawPassword) => {
  const hashedPassword = db.getHashedPassword();
  const workFactor == 12;
  const iterations =  2 ** workFactor;  
  const salt = hashedPassword.split('$')[0;
  const comparePassword = salt + '$' + rawPassword;
  while (iterations) {
    comparePassword = library.hash(salt, comparePassword);
    comparePassword = salt + '$' comparePassword;
    iterations--;
  }
  return comparePassword === hashedPassword;        
}}

Implementation

Password Storage Flow

graph TD
    %% Entities are rectangles, actions are rounded rectangles/circles
    Client[[Client]]
    Server[[Server]]
    DB[(Database)]
    
    %% Actions are rounded rectangles
    SendHash(Send MD5 Password)
    HashGen(Pass to Hashing Library)
    StoreHash(Store Final Hash)
    
    Client --> SendHash
    SendHash --> Server
    Server --> HashGen
    
    subgraph Library["Bcrypt/Argon2 Library (Automated)"]
        style Library fill:#333,stroke:#666,stroke-width:2px,color:#fff
        HashGen --> InternalProcess(("Hash Generation (Automated salt handling)"))
    end
    
    InternalProcess --> StoreHash
    StoreHash --> DB
    
   note["Note: Salt generation and storage are handled automatically by the library"]
	 style note fill:#D3D3D3,stroke:#000000,stroke-width:2px,color:#000000


Authentication Flow

graph TD 
    %% Entities are rectangles
    Client[[Client]]
    Server[[Server]]
    DB[(Database)]
    
    %% Actions are rounded rectangles
    SendHash(Send MD5 Password)
    FetchHash(Fetch Stored Hash)
    ReturnHash(Return Stored Hash)
    Compare(Pass to Comparison)
    Grant(Grant Access)
    Deny(Deny Access)
    
    Client --> SendHash
    SendHash --> Server
    Server --> FetchHash
    FetchHash --> DB
    DB --> ReturnHash
    ReturnHash --> Compare
    
    subgraph Library["Bcrypt/Argon2 Library (Automated)"]
        style Library fill:#333,stroke:#666,stroke-width:2px,color:#fff
        Compare --> Verification{{"Password Verification (Automated salt handling)"}}
    end
    
    Verification --> |Match| Grant
    Verification --> |No Match| Deny
    
    note["Note: Salt extraction and comparison are handled automatically by the library"]
		style note fill:#D3D3D3,stroke:#000000,stroke-width:2px,color:#000000

Migration Strategy

  1. Pick either Argon2 or Bcrypt library (I recommend Argon2 since it's the state of art) - both are easy to implement and work similarly.