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Privacy policyComparison: xiRAID vs. Broadcom MegaRAID
Overview
Modern NVMe SSDs deliver massive throughput and parallelism. But hardware RAID controllers were designed around a different era when the media (HDD) was the bottleneck: by operating via a 16 lanes PCIe bus they cannot address the performance of NVMe drives that require a 4x lanes to perform at full speed. By design, you can expect at best the performance of 4 drives. Hardware RAID can become the reason your “all-flash” server doesn’t feel all-flash.
xiRAID is a software RAID engine purpose-built for NVMe. It’s designed to keep parity RAID fast and predictable at scale without requiring a dedicated accelerator, without “burst-only” cache effects, and without limiting your upgrade path.
Why xiRAID wins against MegaRAID for NVMe data volumes
1. Sustained performance (not just short “cache wins”)
Hardware RAID controllers can look great in short write tests because of on-card cache. But once that cache fills, performance drops to the controller’s true steady-state behavior.
xiRAID is built for sustained throughput and IOPS: the kind your AI pipelines, analytics jobs, databases, and parallel file systems need for hours, not seconds.
2. Faster parity write throughput for real workloads
Parity RAID is where NVMe servers often struggle the most, especially with RAID5/6 at scale. xiRAID is optimized to deliver high parity write throughput so you can use capacity-efficient RAID5/6 instead of defaulting to RAID10.
3. Better “mixed workload” performance
Most applications are not 100% writes. A very common storage profile is 70/30 read/write, and that’s exactly where xiRAID shines: high reads, strong sustained writes, and predictable latency.
4. No extra hardware card, fewer constraints
With xiRAID, your RAID engine lives in software:
- No dedicated RAID adapter required
- No dependency on a specific controller generation
- Easier to evolve with new NVMe generations and server platforms
5. NVMe-first approach (built for modern storage stacks)
xiRAID is designed for NVMe behavior: deep queues, parallelism, and modern CPU acceleration, so your storage performance can scale with cores and drives.
Performance Comparison
Below are results from our internal testing in RAID5.
Test setup:
- RAID level: RAID5
- CPU: 2 × Intel Xeon Platinum 8592+ (2 × 64 cores)
- Memory: 1 TB
- Drives: 8 × SK Hynix NVMe PS1030 6.4 TB
- Software: xiRAID Classic 4.3, MegaRAID 9670W-16i
Results:
| Metric | Linux mdraid | MegaRAID | xiRAID | xiRAID vs MegaRAID |
|---|---|---|---|---|
| Sequential read, GB/s | 1.0 | 27.6 | 53.1 | +92% (1.92x) |
| Sequential write, GB/s | 1.46 | 10.4 | 41.5 | +299% (3.99x) |
| Random read, K IOPS | 57 | 3,386 | 7,405 | +119% (2.19x) |
| Random write, K IOPS | 53.3 | 867 | 451 | -48% * |
* Important note about Random Write: Our lower random write score here is explained by on-card cache. MegaRAID includes 8GB of cache. That cache boosts short-burst random-write benchmarks until it fills. Once the cache is saturated, steady-state performance drops, which is reflected by the much lower sequential write throughput (a better indicator of sustained write capability under continuous load).
What this means for real applications (70/30 read/write)
Most real workloads aren’t “write-only.” With a typical 70/30 read/write profile, xiRAID delivers roughly 2× higher mixed performance in this test:
- Mixed sequential throughput (70/30): ~2.2× higher
- Mixed random IOPS (70/30): ~2.0× higher
If you care about keeping GPUs fed, finishing ETL/analytics jobs faster, or maximizing NVMe utilization under sustained load, the takeaway is simple: xiRAID prioritizes the performance you care about.
Feature Comparison
| Category | xiRAID | Broadcom MegaRAID |
|---|---|---|
| NVMe RAID design goal | NVMe-first, sustained performance at scale | Broad device support; controller-based RAID + cache |
| Parity RAID for NVMe data volumes | Strong focus (RAID5/6 efficiency + throughput) | Supported, but controller/caching behavior matters |
| Performance behavior | Predictable, sustained | Can be bursty (cache-dependent) |
| Hardware dependency | No RAID controller required | Requires RAID adapter (plus cache protection options) |
| Platform flexibility | Software-defined approach across server platforms | Tied to controller generation, firmware, driver stack |
Recommended Deployment
Use MegaRAID when
- You need a controller-centric approach for broad OS compatibility, legacy environments, or mixed SAS/SATA deployments
- You benefit from on-card cache behavior for very specific short-burst write patterns
Use xiRAID when
- You’re building NVMe data volumes where sustained throughput matters
- You want capacity efficiency (RAID5/6) without sacrificing speed
- Your workloads look like AI/ML, analytics, databases, virtualization, or high-performance file systems
- You want to avoid performance cliffs caused by cache saturation