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Cloudera Data Platform (CDP)
Public Cloud service rates

The table below reflects hourly pricing for Cloudera Data Platform Public Cloud Services offerings. The prices reflected do not include infrastructure cost. Infrastructure pricing is available through the respective cloud providers.

 

  • Amazon Web Services
  • Microsoft Azure

Data Warehouse - AWS instances

Instance Category Cores vCPUs RAM GPU Rate/hr
r5d.4xlarge Memory optimized 8 16 128 0 $0.72

Machine Learning - AWS instances

Instance Category Cores vCPUs RAM GPU Machine Learning Rate
m5.2xlarge CPU - Small 4 8 32 0 $0.8000
m5.4xlarge CPU - Medium 8 16 64 0 $1.6000
r5.4xlarge CPU - Large 8 16 128 0 $2.6667
             
p2.8xlarge GPU - Small 16 32 488 8 $7.4900
p2.16xlarge GPU - Medium 32 64 732 16 $12.1333
p3.8xlarge GPU - Large 16 32 244 4 $7.3433

Data Engineering - AWS instances

Instance Category Cores vCPUs RAM GPU Rate/hr
m5.2xlarge General purpose 4 8 32 0 $0.2800
m5.4xlarge General purpose 8 16 64 0 $0.5600
m5.8xlarge General purpose 16 32 128 0 $1.1200
m5a.2xlarge General purpose 4 8 32 0 $0.2800
m5a.4xlarge General purpose 8 16 64 0 $0.5600
m5a.8xlarge General purpose 16 32 128 0 $1.1200
m5ad.2xlarge General purpose 4 8 32 0 $0.2800
m5ad.4xlarge General purpose 8 16 64 0 $0.5600
m4ad.8xlarge General purpose 16 32 128 0 $1.1200
m5d.2xlarge General purpose 4 8 32 0 $0.2800
m5d.4xlarge General purpose 8 16 64 0 $0.5600
m5d.8xlarge General purpose 16 32 128 0 $1.1200
             
r5.2xlarge Memory Optimized 4 8 64 0 $0.4667
r5.4xlarge Memory Optimized 8 16 128 0 $0.9333
r5.8xlarge Memory Optimized 16 32 256 0 $1.8667
r5a.2xlarge Memory Optimized 4 8 64 0 $0.4667
r5a.4xlarge Memory Optimized 8 16 128 0 $0.9333
r5a.8xlarge Memory Optimized 16 32 256 0 $1.8667
r5ad.2xlarge Memory Optimized 4 8 64 0 $0.4667
r5ad.4xlarge Memory Optimized 8 16 128 0 $0.9333
r5ad.8xlarge Memory Optimized 16 32 256 0 $1.8667
r5d.2xlarge Memory Optimized 4 8 64 0 $0.4667
r5d.4xlarge Memory Optimized 8 16 128 0 $0.9333
r5d.8xlarge Memory Optimized 16 32 256 0 $1.8667
             
c5.2xlarge Compute Optimized 4 8 16 0 $0.1867
c5.4xlarge Compute Optimized 8 16 32 0 $0.3733
c5.9xlarge Compute Optimized 18 36 72 0 $0.8400
c5ad.2xlarge Compute Optimized 4 8 16 0 $0.1867
c5ad.4xlarge Compute Optimized 8 16 32 0 $0.3733
c5a.2xlarge Compute Optimized 4 8 16 0 $0.1867
c5a.4xlarge Compute Optimized 8 16 32 0 $0.3733
c5d.2xlarge Compute Optimized 4 8 16 0 $0.1867
c5d.4xlarge Compute Optimized 8 16 32 0 $0.3733
c5d.9xlarge Compute Optimized 18 36 72 0 $0.8400
             
i3.2xlarge Storage Optimized 4 8 61 0 $0.4492
i3.4xlarge Storage Optimized 8 16 122 0 $0.8983
i3.8xlarge Storage Optimized 16 32 244 0 $1.7967

Data Hub - AWS instances

Instance Category Cores vCPUs RAM GPU Rate/hr
m5.xlarge
General purpose
2 4 16 0
$0.12
m5.2xlarge General purpose 4 8 32 0 $0.24
m5.4xlarge General purpose 8 16 64 0 $0.48
m5.8xlarge General purpose 16 32 128 0 $0.96
m5n.2xlarge General purpose 4 8 32 0 $0.24
m5n.4xlarge General purpose 8 16 64 0 $0.48
m5n.8xlarge General purpose 16 32 128 0 $0.96
m5.12xlarge General purpose 24 48 192 0 $0.9600
m5.16xlarge General purpose 32 64 256 0 $1.0000
m5.24xlarge General purpose 48 96 384 0 $1.0000
m5a.xlarge General purpose 2 4 16 0 $0.0800
m5a.2xlarge General purpose 4 8 32 0 $0.1600
m5a.4xlarge General purpose 8 16 64 0 $0.3200
m5a.8xlarge General purpose 16 32 128 0 $0.6400
m5a.12xlarge General purpose 24 48 192 0 $0.9600
m5a.16xlarge General purpose 32 64 256 0 $1.0000
m5a.24xlarge General purpose 48 96 384 0 $1.0000
             
t2.large General purpose 1 2 8 0 $0.06
t2.xlarge General purpose 2 4 16 0 $0.12
             
r5.2xlarge Memory optimized 4 8 64 0 $0.36
r5.4xlarge Memory optimized 8 16 128 0 $0.72
r5.8xlarge Memory optimized 16 32 256 0 $1.44
r5n.2xlarge Memory optimized 4 8 64 0 $0.36
r5n.4xlarge Memory optimized 8 16 128 0 $0.72
r5n.8xlarge Memory optimized 16 32 256 0 $1.44
r5d.xlarge Memory Optimized 2 4 32 0 $0.24
r5d.2xlarge Memory Optimized 4 8 64 0 $0.48
r5d.4xlarge Memory Optimized 8 16 128 0 $0.96
r5d.8xlarge Memory Optimized 16 32 256 0 $1.92
r5d.16xlarge Memory Optimized 32 64 512 0 $3.84
r5dn.xlarge Memory optimized 2 4 32 0 $0.24
r5dn.2xlarge Memory Optimized 4 8 64 0 $0.48
r5dn.4xlarge Memory Optimized 8 16 128 0 $0.96
r5dn.8xlarge Memory Optimized 16 32 256 0 $1.92
r5dn.16xlarge Memory Optimized 32 64 512 0 $3.84
r5a.4xlarge Memory optimized 8 16 128 0 $0.5333
r5a.8xlarge Memory optimized 16 32 256 0 $1.0000
r5ad.xlarge Memory optimized 2 4 32 0 $0.1333
r5ad.2xlarge Memory Optimized 4 8 64 0 $0.2667
r5ad.4xlarge Memory Optimized 8 16 128 0 $0.5333
r5ad.8xlarge Memory Optimized 16 32 256 0 $1.0000
r5ad.16xlarge Memory Optimized 32 64 512 0 $1.0000
             
c5.2xlarge Compute optimized 4 8 16 0 $0.18
c5.4xlarge Compute optimized 8 16 32 0 $0.37
c5.9xlarge Compute optimized 18 36 72 0 $0.54
c5a.2xlarge Compute Optimized 4 8 16 0 $0.1067
c5a.4xlarge Compute Optimized 8 16 32 0 $0.2133
c5a.8xlarge Compute Optimized 16 32 64 0 $0.4267
             
i3.2xlarge Storage optimized 4 8 61 0 $0.36
i3.4xlarge Storage optimized 8 16 122 0 $0.72
i3.8xlarge Storage optimized 16 32 244 0 $1.44
h1.2xlarge Storage optimized 4 8 32 0 $0.24
h1.4xlarge Storage optimized 8 16 64 0 $0.48
h1.8xlarge Storage optimized 16 32 128 0 $0.96
d2.xlarge Storage Optimized 2 4 30.5 0 $0.23
d2.2xlarge Storage Optimized 4 8 61 0 $0.46
d2.4xlarge Storage Optimized 8 16 122 0 $0.92
d2.8xlarge Storage Optimized 18 36 244 0 $1.83
             
p3.2xlarge GPU optimized 4 8 61 1 $0.46
p3.8xlarge GPU optimized 16 32 244 4 $1.83

Data Warehouse - Azure instances

Instance Category Cores vCPUs RAM GPU Rate/hr
E16 v3 Memory optimized 8 16 128 0 $0.72

Machine Learning - Azure instances

Instance Category Cores vCPUs RAM GPU Machine Learning Rate
DS4 v2 CPU - Small 4 8 28 0 $0.7333
DS5 v2 CPU - Medium 8 16 56 0 $1.4667
E16s v3 CPU - Large 8 16 128 0 $2.6667
             
NC6s v2 GPU - Small 6 12 112 1 $1.8867
NC12s v2 GPU - Medium 12 24 224 2 $3.7733
NC24s v2 GPU - Large 24 48 448 4 $7.5467

Data Hub - Azure instances

Instance Category Cores vCPUs RAM GPU Rate/hr
D8 v3 General purpose 4 8 32 0 $0.24
D16 v3 General purpose 8 16 64 0 $0.48
D32 v3 General purpose 16 32 128 0 $0.96
D8s v3
General purpose
4 8 32 0 $0.24
D16s v3
General purpose
8 16 64 0 $0.48
D32s v3
General purpose
16 32 128 0
$0.96
D8a v4 General purpose 4 8 32 0 $0.1600
D16a v4 General purpose 8 16 64 0 $0.3200
D32a v4 General purpose 16 32 128 0 $0.6400
D8as v4 General purpose 4 8 32 0 $0.1600
D16as v4 General purpose 8 16 64 0 $0.3200
D32as v4 General purpose 16 32 128 0 $0.6400
             
E8 v3 Memory optimized 4 8 64 0 $0.36
E16 v3 Memory optimized 8 16 128 0 $0.72
E32 v3 Memory optimized 16 32 256 0 $1.44
E8a v4 Memory Optimized 4 8 64 0 $0.2667
E16a v4 Memory Optimized 8 16 128 0 $0.5333
E32a v4 Memory Optimized 16 32 256 0 $1.0000
D13v2 Memory Optimized 4 8 56 0 $0.42
D14v2 Memory Optimized 8 16 112 0 $0.84
             
F8s v2 Compute optimized 4 8 16 0 $0.18
F16s v2 Compute optimized 8 16 32 0 $0.37
F32s v2 Compute optimized 16 32 64 0 $0.64
             
L8s v2 Storage optimized 4 8 64 0 $0.36
L16s v2 Storage optimized 8 16 128 0 $0.72
L32s v2 Storage Optimized 16 32 256 0 $1.44
L48s v2 Storage optimized 24 48 384 0 $2.88
             
NC6 GPU optimized 3 6 56 1 $0.42
NC24r GPU optimized 12 24 224 4 $1.68

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