AWS d2.4xlargevsAWS d3.4xlarge

d2.4xlarge pairs 16 vCPUs with 122GB of RAM at $2.7600/hr On-Demand (about $1987/mo at 24×7). d3.4xlarge pairs 16 vCPUs with 128GB at $1.9980/hr (~$1439/mo). d3.4xlarge is 28% cheaper per hour than d2.4xlarge ($0.7620/hr gap).

These are different generations of the same series. **d3.4xlarge** is the newer generation, and AWS's pattern across generations is fairly consistent: ~10–15% better single-thread, 15–30% better multi-core, and similar or modestly higher per-hour pricing — so the price/performance per dollar usually improves with each generation. **d2.4xlarge** is still available and still works (AWS doesn't retire instance types quickly), but for new workloads the newer generation is typically the better default unless you have a specific reason to pin to the older AMI or there's a meaningful regional pricing advantage today.

On raw price-per-performance, the two are d3.4xlarge delivers ~45% more single-thread Sysbench score per dollar (377 vs 547 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 (13007 vs 13455) are what to weigh. Spot pricing flips many of these comparisons — when d2.4xlarge drops to $0.5867/hr and d3.4xlarge drops to $0.7335/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick d2.4xlarge when your workload is closer to storage-optimized (HDD) (dense, sequential HDD storage — HDFS, MapReduce, log warehouses). Pick d3.4xlarge 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.