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Java 21 ZGC vs G1GC vs Parallel GC: Which One is Best for High-Throughput Apps?

In high-performance Java systems — think real-time APIs, trading engines, e-commerce platforms — GC pauses can be the silent killer of…

Balian's Deep Tech · 2025-04-07 05:21 · 65 claps · 2.7 min read paywalled
#java21 #zgc #g1gc #spring-boot #programming
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Java 21 ZGC vs G1GC vs Parallel GC: Which One is Best for High-Throughput Apps?

Shant Khayalian — Balian’s IT

Shant Khayalian — Balian’s IT

In high-performance Java systems — think real-time APIs, trading engines, e-commerce platformsGC pauses can be the silent killer of throughput and latency.

Bob is building a high-throughput order processing engine in Java 21 and asks:

“Which GC should I use to process millions of requests per second without long pauses?”

Let’s compare ZGC, G1GC, and Parallel GC in real-world use cases with Java 21 improvements.

What is a Garbage Collector (GC)?

Shant Khayalian — Balian’s IT

Shant Khayalian — Balian’s IT

The JVM allocates memory for objects and reclaims unused memory using Garbage Collection (GC). But some collectors:

  • Pause the app
  • Use more CPU
  • Trade speed for responsiveness

GC = memory janitor + time manager The right GC can boost your app’s speed by 20–60%.

The Contenders

1. Parallel GC — The Old-School Rocket

Best for batch jobs, offline processing, or CPU-bound apps.

How it works:

  • Stops the world
  • Uses multiple threads to clean memory quickly
  • Focuses on raw throughput, not responsiveness

Bob’s Use Case:

✔ Batch invoicing ✔ Offline reporting

JVM Option:

-XX:+UseParallelGC

Pros:

  • Blazing fast
  • Very efficient for compute-heavy jobs

Cons:

  • Long “stop-the-world” pauses
  • Bad for real-time apps

2. G1GC — The Balanced Performer

Shant Khayalian — Balian’s IT

Shant Khayalian — Balian’s IT

Best for modern, general-purpose microservices

How it works:

  • Splits heap into regions
  • Cleans young and old generations concurrently
  • Uses predictable pause goals

JVM Options:

-XX:+UseG1GC
-XX:MaxGCPauseMillis=100

Bob’s Use Case: ✔ E-commerce API ✔ Microservices ✔ 100–500ms latency budget

Pros:

  • Predictable
  • Decent throughput
  • Good for 99.9% latency SLOs

Cons:

  • Some pauses still happen
  • Heavier CPU use than Parallel

3. ZGC — The Ultra-Low-Latency Ninja

Shant Khayalian — Balian’s IT

Shant Khayalian — Balian’s IT

Best for real-time systems and latency-critical apps

How it works:

  • Concurrent and region-based
  • Pauses in <1ms
  • Heap size up to 16 TB

JVM Options:

-XX:+UseZGC

Bob’s Use Case: ✔ Realtime bidding ✔ High-frequency trading ✔ Live analytics dashboards

Pros:

  • Pause times <10ms
  • Scales to huge heaps
  • Low GC jitter

Cons:

  • Slightly lower throughput
  • Needs more CPU
  • Newer GC = fewer tuning tools

Benchmark Results (Java 21 | 16-core machine | 8GB heap)

How to Choose the Right GC (Quick Decision Flow)

  1. Need ultra-low latency (<10ms)? → ✔ ZGC
  2. Need general purpose + stable latency? → ✔ G1GC
  3. Need pure throughput? No latency concern? → ✔ Parallel GC

Final Thoughts

In Java 21, all collectors are mature — but ZGC is catching up fast as the go-to for modern real-time systems. Choose based on:

  • SLA goals
  • Latency tolerance
  • Memory size
  • CPU budget

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java21 #zgc #g1gc #parallelgc #garbagecollection #javaperformance #highthroughput #microservices #jvmtuning #springbootperformance


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