r7g.2xlarge vs x2iedn.2xlarge
| r7g.2xlarge | x2iedn.2xlarge |
| Memory optimized | Memory optimized |
| 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 7 – Generation g – AWS Graviton processor 2xlarge – Size | In-memory databases (like SAP HANA), big data engines (such as Apache Spark, Presto), high-performance computing (HPC), and memory-heavy enterprise apps. x – Extreme RAM / memory intensive 2 – Generation i – Intel processor e – Extra storage or memory d – Instance store volume n – Network and EBS optimized 2xlarge – Size |
| 8 | 8 |
| 64 GiB | 256 GiB |
| arm64 | x86_64 |
| AWS Graviton3 Processor | Intel Xeon Scalable (Icelake) |
| 2.6 GHz | 3.5 GHz |
| 1 | 2 |
| no | no |
| no | no |
| no | no |
| r7g.12xlarge, r7g.16xlarge, r7g.2xlarge, r7g.4xlarge, r7g.8xlarge, r7g.large, r7g.medium, r7g.metal, r7g.xlarge | x2iedn.16xlarge, x2iedn.24xlarge, x2iedn.2xlarge, x2iedn.32xlarge, x2iedn.4xlarge, x2iedn.8xlarge, x2iedn.metal, x2iedn.xlarge |
| r6g.2xlarge, r7g.2xlarge, r8g.2xlarge | |
| r7a.2xlarge, r7gd.2xlarge, r7i.2xlarge, r7iz.2xlarge | x2gd.2xlarge, x2iezn.2xlarge |
| ml.r7g.2xlarge | |
| db.r7g.2xlarge | db.x2iedn.2xlarge |
| r7g.2xlarge.search | |
| cache.r7g.2xlarge | |
| no | no |
| no | no |
| yes | no |
| EBS only | 1 x 237 NVMe SSD |
| default | default |
| supported | supported |
| required | required |
| up to 10000 MBps | up to 20000 MBps |
| 2500 Mbps | 5000 Mbps |
| 312.5 Mbps | 625 Mbps |
| 12000 IOPS | 16250 IOPS |
| 40000 IOPS | 65000 IOPS |
| 10000 Mbps | 20000 Mbps |
| 1250 Mbps | 2500 Mbps |
| Up to 15 Gigabit | Up to 25 Gigabit |
| yes | yes |
| 4 | 4 |
| 1 | 1 |
| 15 | 15 |
| 15 | 15 |
| yes | yes |
| required | required |
| no | no |
| yes | yes |
| no | no |
| 1.00x | 4.38x |
Regional Prices
Geography | Region | r7g.2xlarge | x2iedn.2xlarge |
|---|---|---|---|
| Asia Pacific | Asia Pacific (Hyderabad) (ap-south-2) | 0.3003 | n/a |
| Asia Pacific | Asia Pacific (Mumbai) (ap-south-1) | 0.3003 | n/a |
| Hidden | Hidden (hidden-1) | 0.4284 | 1.7203 |
| Hidden | Hidden (hidden-10) | 0.4760 | 2.1008 |
| Hidden | Hidden (hidden-11) | 0.4792 | 2.1008 |
| Hidden | Hidden (hidden-12) | 0.4794 | 2.1675 |
| Hidden | Hidden (hidden-13) | 0.5020 | 2.1759 |
| Hidden | Hidden (hidden-14) | 0.5032 | 2.1759 |
| Hidden | Hidden (hidden-15) | 0.5032 | 2.3343 |
| Hidden | Hidden (hidden-16) | 0.5034 | 2.3810 |
| Hidden | Hidden (hidden-17) | 0.5134 | 2.4176 |
| Hidden | Hidden (hidden-18) | 0.5134 | 2.4176 |
| Hidden | Hidden (hidden-19) | 0.5134 | 2.4176 |
| Hidden | Hidden (hidden-2) | 0.4284 | 1.7203 |
| Hidden | Hidden (hidden-20) | 0.5134 | 2.4176 |
| Hidden | Hidden (hidden-21) | 0.5168 | 2.4176 |
| Hidden | Hidden (hidden-22) | 0.5168 | 2.4178 |
| Hidden | Hidden (hidden-23) | 0.5168 | 2.5677 |
| Hidden | Hidden (hidden-24) | 0.5168 | 3.2513 |
| Hidden | Hidden (hidden-25) | 0.5168 | n/a |
| Hidden | Hidden (hidden-26) | 0.5168 | n/a |
| Hidden | Hidden (hidden-27) | 0.5273 | n/a |
| Hidden | Hidden (hidden-28) | 0.5274 | n/a |
| Hidden | Hidden (hidden-29) | 0.5391 | n/a |
| Hidden | Hidden (hidden-3) | 0.4393 | 1.8340 |
| Hidden | Hidden (hidden-30) | 0.5680 | n/a |
| Hidden | Hidden (hidden-31) | 0.5685 | n/a |
| Hidden | Hidden (hidden-32) | 0.5712 | n/a |
| Hidden | Hidden (hidden-33) | 0.6818 | n/a |
| Hidden | Hidden (hidden-4) | 0.4393 | 1.9014 |
| Hidden | Hidden (hidden-5) | 0.4498 | 2.0008 |
| Hidden | Hidden (hidden-6) | 0.4556 | 2.0008 |
| Hidden | Hidden (hidden-7) | 0.4651 | 2.0008 |
| Hidden | Hidden (hidden-8) | 0.4692 | 2.0008 |
| Hidden | Hidden (hidden-9) | 0.4692 | 2.1001 |
| US | US East (Ohio) (us-east-2) | n/a | 1.6673 |
| US | US East (Virginia) (us-east-1) | 0.4284 | 1.6673 |
| US | US West (Oregon) (us-west-2) | n/a | 1.6673 |
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