DEV Community

Cover image for 🧠 G1 vs ZGC vs Shenandoah: The Best Java Garbage Collector for Large Heaps (2025 Guide)
Theo Ezell (webMethodMan)
Theo Ezell (webMethodMan)

Posted on

🧠 G1 vs ZGC vs Shenandoah: The Best Java Garbage Collector for Large Heaps (2025 Guide)

TL;DR:
If your heap exceeds 50 GB, you need a GC strategy.

🧩 G1 — good default, balanced performance
⚡ Shenandoah — ultra-low pause times
🧠 ZGC — built for terabyte-scale heaps


🔍 What Is Garbage Collection and Why It Matters for Modern Java

Garbage collection (GC) automatically reclaims memory in Java applications — but once your heap grows beyond a few dozen gigabytes, GC pauses can cause serious latency spikes.

As enterprise apps, integration layers, and AI workloads scale up, pause time predictability becomes just as critical as throughput.

That’s why the latest OpenJDK releases include three advanced collectors tuned for performance at scale:

  • G1 (Garbage-First GC)
  • Shenandoah GC
  • ZGC (Z Garbage Collector)

These collectors share one goal: handle massive heaps with minimal pause time — but they get there in very different ways.

✅ Best for most apps: G1
⚡ Best for near-real-time systems: Shenandoah
🧠 Best for hyperscale: ZGC

🧩 How Modern GC Enables Scalable Integration

Today’s integration platforms — event-driven systems, API gateways, AI inference pipelines — all depend on JVM performance somewhere in the stack.

Tuned garbage collection directly impacts:

  • API and message latency
  • Real-time data throughput
  • AI inference and orchestration timing
  • System reliability under heavy load

That’s why understanding GC tuning is part of the Integration Renaissance — where hybrid cloud, AI, and architecture converge.

🧠 Practical GC Optimization Tips

  1. Fix your heap size
    Use -Xms = -Xmx for predictable allocation and reduced resizing overhead.

  2. Monitor pause distributions
    Averages hide spikes. Track max pause and frequency histograms.

  3. Use realistic workloads
    Synthetic GC benchmarks rarely mirror real-world application pressure.

  4. Tune region size (G1) or thresholds (Shenandoah)
    Small tweaks in region layout can dramatically reduce compaction pauses.

📚 Further Reading and Deep Dives

If you want to explore the details — metrics, tuning examples, and JVM internals — check out these in-depth articles on IBM Community:

🧩 G1: The Original GC for Large Heaps

Shenandoah: Very Low Pause GC for Mountains of Data

🧠 ZGC: Taming Terabytes

And the complete overview that started it all:
👉 G1, ZGC, and Shenandoah: OpenJDK’s Garbage Collectors for Very Large Heaps

Top comments (0)