h1.2xlarge vs r8gb.2xlarge
| h1.2xlarge | r8gb.2xlarge |
| Storage optimized | Memory optimized |
| Amazon EMR workloads, distributed file systems (HDFS, MapR-FS), network file systems, log/data processing apps (like Apache Kafka), and big data clusters. h – HDD / hard disk throughput optimized 1 – Generation 2xlarge – Size | High-performance databases, data mining/analysis, in-memory databases, distributed large-scale caches, real-time processing apps for unstructured big data, Hadoop/Spark clusters, and other enterprise apps. r – RAM / memory optimized 8 – Generation g – AWS Graviton processor b – EBS optimized 2xlarge – Size |
| 8 | 8 |
| 32 GiB | 64 GiB |
| x86_64 | arm64 |
| Intel Xeon E5-2686 v4 (Broadwell) | AWS Graviton4 Processor |
| 2.3 GHz | 2.8 GHz |
| 2 | 1 |
| no | no |
| no | no |
| no | no |
| h1.16xlarge, h1.2xlarge, h1.4xlarge, h1.8xlarge | r8gb.12xlarge, r8gb.16xlarge, r8gb.24xlarge, r8gb.2xlarge, r8gb.48xlarge, r8gb.4xlarge, r8gb.8xlarge, r8gb.large, r8gb.medium, r8gb.metal-24xl, r8gb.metal-48xl, r8gb.xlarge |
| r8a.2xlarge, r8g.2xlarge, r8gd.2xlarge, r8gn.2xlarge, r8i-flex.2xlarge, r8i.2xlarge, r8ib.2xlarge, r8id.2xlarge, r8idb.2xlarge, r8idn.2xlarge, r8in.2xlarge | |
| no | no |
| no | no |
| no | yes |
| 31 | |
| 1 x 2000 HDD | EBS only |
| default | default |
| supported | supported |
| unsupported | required |
| 1750 MBps | up to 25000 MBps |
| 1750 Mbps | 12500 Mbps |
| 218.75 Mbps | 1562.5 Mbps |
| 12000 IOPS | 60000 IOPS |
| 12000 IOPS | 120000 IOPS |
| 1750 Mbps | 25000 Mbps |
| 218.75 Mbps | 3125 Mbps |
| Up to 10 Gigabit | Up to 33.333 Gigabit |
| yes | yes |
| 4 | 4 |
| 1 | 1 |
| 15 | 15 |
| 15 | 15 |
| yes | yes |
| supported | required |
| no | no |
| no | yes |
| no | no |
| 1.00x | 1.52x |
Regional Prices
Geography | Region | h1.2xlarge | r8gb.2xlarge |
|---|---|---|---|
| Hidden | Hidden (hidden-1) | 0.5190 | n/a |
| US | US East (Ohio) (us-east-2) | 0.4680 | n/a |
| US | US East (Virginia) (us-east-1) | 0.4680 | 0.7287 |
| US | US West (Oregon) (us-west-2) | 0.4680 | 0.7287 |
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