AWS d3.2xlargevsAWS d3en.xlarge

d3.2xlarge pairs 8 vCPUs with 64GB of RAM at $0.9990/hr On-Demand (about $719/mo at 24×7). d3en.xlarge pairs 4 vCPUs with 16GB at $0.5260/hr (~$379/mo). d3en.xlarge is 47% cheaper per hour than d3.2xlarge ($0.4730/hr gap).

Both are generation-3 storage-optimized (HDD) instances, but they run on different silicon: **d3.2xlarge** is Intel Xeon (x86_64), **d3en.xlarge** is Intel Xeon (x86_64). AMD variants (suffix `a`) are typically 10% cheaper than Intel siblings at comparable single-thread performance. Graviton variants (suffix `g`) are usually 20–40% cheaper but require ARM64-compatible binaries — most modern Linux stacks are fine, but verify any compiled extensions, native modules, or third-party binaries before migrating. Same vCPU/RAM ratio, same network performance class, different processor.

On raw price-per-performance, the two are d3en.xlarge delivers ~84% more single-thread Sysbench score per dollar (1093 vs 2008 points per $1/hr). That's the cleanest signal we have for "which one runs your workload faster per dollar," but it only matters if your workload is single-thread-bound; for parallel workloads the multi-core scores (6676 vs 3168) are what to weigh. Spot pricing flips many of these comparisons — when d3.2xlarge drops to $0.3611/hr and d3en.xlarge drops to $0.0861/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick d3.2xlarge when your workload is closer to storage-optimized (HDD) (dense, sequential HDD storage — HDFS, MapReduce, log warehouses). Pick d3en.xlarge when it's closer to storage-optimized (HDD) (dense, sequential HDD storage — HDFS, MapReduce, log warehouses). When neither side is obviously right, the cheaper hourly rate usually wins for fault-tolerant batch workloads, while the higher single-core score usually wins for latency-sensitive web traffic. The regional pricing tables linked from each instance page below show where each is currently cheapest — sometimes a >20% regional gap flips the comparison entirely.