Pricing Method
| Component | Pricing |
|---|
| Hadoop, Spark, Interactive Query, Kafka*, Storm, HBase
| Base price/node-hour + ￥0/core-hour
| | Enterprise Security Package
| Base price/node-hour + ￥0.06/core-hour
|
Memory Optimized nodes for HDInsight
| Instances | Number of cores | RAM | Disk size | Pricing |
|---|
| E2 v3
| 2
| 16 GB
| 50 GB
| ￥1.31 /hour
（about￥974.64 /month）
| | E4 v3
| 4
| 32 GB
| 100 GB
| ￥2.63 /hour
（about￥1,956.72 /month）
| | E8 v3
| 8
| 64 GB
| 200 GB
| ￥5.27 /hour
（about￥3,920.88 /month）
| | E16 v3
| 16
| 128 GB
| 400 GB
| ￥10.54 /hour
（about￥7,841.76 /month）
| | E20 v3
| 20
| 160 GB
| 500 GB
| ￥16.92 /hour
（about￥12,588.48 /month）
| | E32 v3
| 32
| 256 GB
| 800 GB
| ￥21.08 /hour
（about￥15,683.52 /month）
| | E64i v3
| 64
| 432 GB
| 1,600 GB
| ￥42.14 /hour
（about￥31,352.16 /month）
| | E64 v3
| 64
| 432 GB
| 1,600 GB
| ￥42.14 /hour
（about￥31,352.16 /month）
|
Compute Optimized nodes for HDInsight
| Instances | Number of cores | RAM | Disk size | Pricing |
|---|
| F1
| 1
| 2 GB
| 16 GB
| ￥0.531 /hour
（about￥395.064 /month）
| | F2
| 2
| 4 GB
| 32 GB
| ￥1.102 /hour
（about￥819.888 /month）
| | F4
| 4
| 8 GB
| 64 GB
| ￥2.193 /hour
（about￥1,631.592 /month）
| | F8
| 8
| 16 GB
| 128 GB
| ￥4.387 /hour
（about￥3,263.928 /month）
| | F16
| 16
| 32 GB
| 256 GB
| ￥8.763 /hour
（about￥6,519.672 /month）
|
| Instances | Number of cores | RAM | Disk size | Pricing |
|---|
| F1
| 1
| 2 GB
| 16 GB
| ￥0.531 /hour
（about￥395.064 /month）
| | F2
| 2
| 4 GB
| 32 GB
| ￥1.102 /hour
（about￥819.888 /month）
| | F4
| 4
| 8 GB
| 64 GB
| ￥2.193 /hour
（about￥1,631.592 /month）
| | F8
| 8
| 16 GB
| 128 GB
| ￥4.387 /hour
（about￥3,263.928 /month）
| | F16
| 16
| 32 GB
| 256 GB
| ￥8.763 /hour
（about￥6,519.672 /month）
| | F16s v2
| 16
| 32 GB
| 256 GiB
| ￥10.597/hour
（about￥7,884.168 /month）
|
General Purpose nodes for HDInsightAV2 HDInsight nodes run on Av2 Standard VM, which is the latest generation of A-series virtual machines with similar CPU performance and faster disk.
| Instances | Number of cores | RAM | Disk size | Pricing |
|---|
| A1 v2
| 1
| 2 GB
| 10 GB
| ￥0.545 /hour
（about￥405.48 /month）
| | A2 v2
| 2
| 4 GB
| 20 GB
| ￥1.079 /hour
（about￥802.776 /month）
| | A2m v2
| 2
| 16 GB
| 20 GB
| ￥2.079 /hour
（about￥1,546.776 /month）
| | A4 v2
| 4
| 8 GB
| 40 GB
| ￥2.169 /hour
（about￥1,613.736 /month）
| | A4m v2
| 4
| 32 GB
| 40 GB
| ￥4.166 /hour
（about￥3,099.504 /month）
| | A8 v2
| 8
| 16 GB
| 80 GB
| ￥4.326 /hour
（about￥3,218.544 /month）
| | A8m v2
| 8
| 64 GB
| 80 GB
| ￥8.328 /hour
（about￥6,196.032 /month）
|
A Series Universal NodesA3 is economical option for meeting universal demands. Customers running basic query applications and modes on Hadoop will benefit from using the A Series. The A1 node can be only used as Storm’s Zookeeper node. The A2 node can be only used as Zookeeper node of HBase and Storm. A Series cannot be used as data nodes in Linux Cluster. They can only be used as the head node and ZooKeeper node, and only A1, A2 and A3 are available.
| Instances | Number of cores | RAM | Disk size | Pricing Per Node |
|---|
| A1
| 1
| 1.75 GB
| 70 GB
| ￥ 0.3981/hour
(about ￥ 296.1864/month)
| | A2
| 2
| 3.5 GB
| 135 GB
| ￥ 0.9662/hour
(about ￥ 718.8528/month)
| | A3
| 4
| 7 GB
| 285 GB
| ￥ 1.9425/hour
(about ￥ 1,445.22/month)
|
D Series Nodes: CPU accelerated by 60%, bigger memory, local SSDD1, D2 and D11 nodes can only be used as Zookeeper nodes for HBase and Storm.
| Instances | Number of cores | Memory | Disk size | Pricing |
|---|
| D1
| 1
| 3.5 GB
| 50 GB
| ￥ 0.5981/hour
(about ￥ 444.9864/month)
| | D2
| 2
| 7 GB
| 100 GB
| ￥ 1.2362/hour
(about ￥ 919.7328/month)
| | D3
| 4
| 14 GB
| 200 GB
| ￥ 2.4725/hour
(about ￥ 1,839.54/month)
| | D4
| 8
| 28 GB
| 400 GB
| ￥ 4.965/hour
(about ￥ 3,693.96/month)
| | D5
| 16
| 56 GB
| 800 GB
| ￥ 9.8999/hour
(about ￥ 7,365.5256/month)
| | D11
| 2
| 14 GB
| 100 GB
| ￥ 1.9717/hour
(about ￥ 1,466.9448/month)
| | D12
| 4
| 28 GB
| 200 GB
| ￥ 3.9434/hour
(about ￥ 2,933.8896/month)
| | D13
| 8
| 56 GB
| 400 GB
| ￥ 7.8867/hour
(about ￥ 5,867.7048/month)
| | D14
| 16
| 112 GB
| 800 GB
| ￥ 11.2234/hour
(about ￥ 8,350.2096/month)
|
|
Dv2 Series Optimized Nodes: A New Generation of CPUThe Dv2 Series is the new generation of D Series instances with stronger CPU, of which the memory and disk configurations are the same as the D Series. The instances of the Dv2 Series are based on a new generation of 2.4 GHz Intel Xeon® E5-2673 v3 (Haswell) processor, which can reach up to 3.2GHz using Intel Turbo Boost Technology 2.0. The Dv2 Series can cater to customers requiring low delay, local SSD access or
faster CPU to run applications. The bigger memory of the D Series and Dv2 Series can improve performance for customers using HDInsight HBase. Customers using HDInsight Storm and Spark can upload bigger reference data via its bigger memory, and realize bigger throughput through its faster CPU. The D Series will continue to apply, but the DV2 series is recommended.
| Instances | Number of cores | Memory | Disk size | Pricing |
|---|
| D1 v2
| 1
| 3.5 GB
| 50 GB
| ￥ 0.5981/hour
(about ￥ 444.9864/month)
| | D2 v2
| 2
| 7 GB
| 100 GB
| ￥ 1.2362/hour
(about ￥ 919.7328/month)
| | D3 v2
| 4
| 14 GB
| 200 GB
| ￥ 2.4725/hour
(about ￥ 1,839.54/month)
| | D4 v2
| 8
| 28 GB
| 400 GB
| ￥ 4.965/hour
(about ￥ 3,693.96/month)
| | D5 v2
| 16
| 56 GB
| 800 GB
| ￥ 9.8999/hour
(about ￥ 7,365.5256/month)
| | D11 v2
| 2
| 14 GB
| 100 GB
| ￥ 1.9717/hour
(about ￥ 1,466.9448/month)
| | D12 v2
| 4
| 28 GB
| 200 GB
| ￥ 3.9434/hour
(about ￥ 2,933.8896/month)
| | D13 v2
| 8
| 56 GB
| 400 GB
| ￥ 7.8867/hour
(about ￥ 5,867.7048/month)
| | D14 v2
| 16
| 112 GB
| 800 GB
| ￥ 11.2234/hour
(about ￥ 8,350.2096/month)
|
|
Is Azure HDInsight PaaS or SAAS?
HDInsight service is a service that brings Hadoop to Microsoft Azure platform. It is built on Hortonworks Hadoop distribution. Azure runs as a PaaS (Platform as a Service).
What is the difference between HDInsight and Azure Data Lake analytics?
All replies. Azure data lake is mainly for storage. Huge amount of raw data or data in native form can be stored in it and access , processed by technologies such as Azure HDI, Azure databricks, ADLA (U-sql querying) etc. Azure HDI can provide clusters (Spark, Hadoop etc.)
Which cluster type Azure HDInsight is MapReduce program model used?
HDInsight provides cluster configurations for Apache Hadoop, Spark, HBase, or Storm. Or, you can customize clusters with script actions. Hadoop (the "Query" workload): Provides reliable data storage with HDFS, and a simple MapReduce programming model to process and analyze data in parallel.
Which of the following is true regarding HDInsight?
Which of the following is true regarding HDInsight? It is an open-source framework for the distributed processing and analysis of big datasets in clusters.
Which of the following specific components are incorporated on HDInsight clusters in Azure?
On HDInsight Clusters, all settings are included. On HDInsight clusters, the components and tools listed below are present: Cluster provisioning, management, monitoring, and utilities are provided by Ambari.
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