Fast and highly scalable data exploration service
An Azure Data Explorer cluster is a pair of engine and data management clusters which uses several Azure resources such as Azure Linux VM’s and Storage. The applicable VMs, Azure Storage, Azure Networking and Azure Load balancer costs are billed directly to the customer subscription.
Azure Data Explorer clusters are billed on a per minute basis. Azure Data Explorer charges you for each VM in the cluster as well as Azure Data Explorer mark-up for some components of a cluster. Azure Data Explorer mark-up is proportional to the number of the VM vCores running in the engine cluster.
Explore pricing options
Apply filters to customise pricing options to your needs.
Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on the type of agreement entered with Microsoft, date of purchase, and the currency exchange rate. Prices are calculated based on US dollars and converted using London closing spot rates that are captured in the two business days prior to the last business day of the previous month end. If the two business days prior to the end of the month autumn on a bank holiday in major markets, the rate setting day is generally the day immediately preceding the two business days. This rate applies to all transactions during the forthcoming month. Sign in to the Azure pricing calculator to see pricing based on your current programme/offer with Microsoft. Contact an Azure sales specialist for more information on pricing or to request a price quote. See frequently asked questions about Azure pricing.
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment, or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment, or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
Azure Data Explorer mark-up
| Component | Pay as you go | 1 year reserved | 3 year reserved |
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Instances
Azure Data Explorer offers two types of instance families depending on your workload needs. Storage optimised instances are ideal for workloads that need fewer queries over a large volume of data. Compute optimised instances are well suited for high rate of queries over a smaller data size.
Developer Tier
Use the Developer tier to develop and test applications. The developer tier does not offer an SLA and should not be used for applications in production.
| Instance | vCPU(s) | Storage | Support SLA | Pay as you go | 1 year reserved* | 3 year reserved* |
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| D11 v2 | 2 | 80 GB | None | $- |
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| E2a v4 | 2 | 30 GB | None | $- |
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Storage Optimised instances
Lasv3 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| L8as v3 | 8 | 1.8 TB SSD | $- | $- | $- |
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| L16as v3 | 16 | 3.5 TB SSD | $- | $- | $- |
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| L32as v3 | 32 | 7 TB SSD | $- | $- | $- |
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Lsv3 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| L8s v3 | 8 | 1.8 TB SSD | $- | $- | $- |
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| L16s v3 | 16 | 3.5 TB SSD | $- | $- | $- |
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| L32s v3 | 32 | 7 TB SSD | $- | $- | $- |
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Easv5 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| E8as v5 | 8 | 1 TB SSD | $- | $- | $- |
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| E8as v5 | 8 | 2 TB SSD | $- | $- | $- |
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| E16as v5 | 16 | 3 TB SSD | $- | $- | $- |
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| E16as v5 | 16 | 4 TB SSD | $- | $- | $- |
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ECasv5 Series (Confidential Computing SKUs)
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| EC8as v5 | 8 | 1 TB SSD | $- | $- | $- |
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| EC8as v5 | 8 | 2 TB SSD | $- | $- | $- |
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| EC16as v5 | 16 | 3 TB SSD | $- | $- | $- |
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| EC16as v5 | 16 | 4 TB SSD | $- | $- | $- |
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Easv4 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| E8as v4 | 8 | 1 TB SSD | $- | $- | $- |
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| E8as v4 | 8 | 2 TB SSD | $- | $- | $- |
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| E16as v4 | 16 | 3 TB SSD | $- | $- | $- |
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| E16as v4 | 16 | 4 TB SSD | $- | $- | $- |
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Esv5 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| E8s v5 | 8 | 1 TB SSD | $- | $- | $- |
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| E8s v5 | 8 | 2 TB SSD | $- | $- | $- |
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| E16s v5 | 16 | 3 TB SSD | $- | $- | $- |
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| E16s v5 | 16 | 4 TB SSD | $- | $- | $- |
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Esv4 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| E8s v4 | 8 | 1 TB SSD | $- | $- | $- |
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| E8s v4 | 8 | 2 TB SSD | $- | $- | $- |
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| E16s v4 | 16 | 3 TB SSD | $- | $- | $- |
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| E16s v4 | 16 | 4 TB SSD | $- | $- | $- |
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DSv2 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| DS13 v2 | 8 | 1 TB SSD | $- | $- | $- |
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| DS13 v2 | 8 | 2 TB SSD | $- | $- | $- |
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| DS14 v2 | 16 | 3 TB SSD | $- | $- | $- |
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| DS14 v2 | 16 | 4 TB SSD | $- | $- | $- |
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Lsv2 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| L8s v2 | 8 | 1.7 TB SSD | $- | $- | $- |
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| L16s v2 | 16 | 3.5 TB SSD | $- | $- | $- |
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Compute Optimised instances
Easdv5 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| E2ads v5 | 2 | 55 GB SSD | $- | $- | $- |
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| E4ads v5 | 4 | 116 GB SSD | $- | $- | $- |
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| E8ads v5 | 8 | 240 GB SSD | $- | $- | $- |
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| E16ads v5 | 16 | 485 GB SSD | $- | $- | $- |
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ECadsv5 Series (Confidential Computing SKUs)
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| EC2ads v5 | 2 | 55 GB SSD | $- | $- | $- |
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| EC4ads v5 | 4 | 116 GB SSD | $- | $- | $- |
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| EC8ads v5 | 8 | 240 GB SSD | $- | $- | $- |
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| EC16ads v5 | 16 | 485 GB SSD | $- | $- | $- |
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Edv5 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| E2d v5 | 2 | 55 GB SSD | $- | $- | $- |
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| E4d v5 | 4 | 116 GB SSD | $- | $- | $- |
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| E8d v5 | 8 | 240 GB SSD | $- | $- | $- |
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| E16d v5 | 16 | 485 GB SSD | $- | $- | $- |
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Edv4 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| E2d v4 | 2 | 55 GB SSD | $- | $- | $- |
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| E4d v4 | 4 | 116 GB SSD | $- | $- | $- |
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| E8d v4 | 8 | 240 GB SSD | $- | $- | $- |
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| E16d v4 | 16 | 485 GB SSD | $- | $- | $- |
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Ddv5 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| D32d v5 | 32 | 976 GB SSD | $- | $- | $- |
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Ddv4 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| D32d v4 | 32 | 976 GB SSD | $- | $- | $- |
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Dv2 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| D11 v2 | 2 | 80 GB SSD | $- | $- | $- |
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| D12 v2 | 4 | 160 GB SSD | $- | $- | $- |
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| D13 v2 | 8 | 317 GB SSD | $- | $- | $- |
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| D14 v2 | 16 | 628 GB SSD | $- | $- | $- |
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Eav4 Series
| Instance | vCPU(s) | Storage | Linux vm price | Azure Data Explorer Mark-up | Pay as you go total price | 1 year reserved* | 3 year reserved* |
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| E2a v4 | 2 | 30 GB SSD | $- | $- | $- |
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| E4a v4 | 4 | 66 GB SSD | $- | $- | $- |
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| E8a v4 | 8 | 140 GB SSD | $- | $- | $- |
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| E16a v4 | 16 | 285 GB SSD | $- | $- | $- |
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To estimate your Azure Data Explorer cost, visit the cost estimator page.
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Explore your optionsAdditional resources
Azure Data Explorer
Learn more about Azure Data Explorer features and capabilities.
Pricing calculator
Estimate your expected monthly costs for using any combination of Azure products.
SLA
Review the Service Level Agreement for Azure Data Explorer.
Documentation
Review technical tutorials, videos, and more Azure Data Explorer resources.
Frequently asked questions
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We charge Azure Data Explorer Mark-up for fast data ingestion, caching, querying and manageability capability of Azure Data Explorer. The charge is directly proportional to the number of engine vCores in the Azure Data Explorer cluster.
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You can choose to run as many engine nodes as you want. The number of engine nodes largely depends on how much data you ingest and your query performance requirements. You can also use Azure Data Explorer’s auto-scale function to dial-up and dial down the number of engine nodes. The number and type of data management nodes are auto selected for you depending on your data ingestion needs. Data Management service instances use a Da_v4 series SKU when available. If not available, it will select a SKU from Dads_v5, Dd_v5, Dd_v4, or Ds_v2 series.
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Azure Data Explorer clusters run engine nodes and data management nodes. Depending on your workload needs, you can choose the number of engine management nodes. The service auto selects the type and number of data management nodes. For your engine nodes, you will be billed for Azure VM costs as well as Azure Data Explorer Mark-up.
For example, let’s say you run a Azure Data Explorer cluster for 100 hours in East US 2. Let’s assume you choose 8 D13 v2 instances for engine nodes, and the service auto selects 2 D3 v2 instances for data management nodes. The billing would be the following:
Engine Nodes:
VM cost for 8 D13 v2 instances —100 hours x 8 instances x $0.598/hour = $478.4
Azure Data Explorer mark-up for 8 D13 v2 instances —100 hours x 8 instances x 8 vCores/instance x $0.11/vCore = $704Data Management Nodes:
VM cost for 2 D3 v2 instances — 100 hours x 2 instances x $0.229/hour = $45.8The total cost of running this Azure Data Explorer cluster for 100 hours would be: $1228.2
Depending on your data retention policy, you will also incur networking and storage charges as a result of using Azure Data Explorer.
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When ADX Cluster is stopped/paused, all the compute resources are decommissioned. All the Storage artefacts are still preserved and once ADX cluster is started again, Compute is deployed with the same Storage artefacts. When the cluster is stopped, customers are only billed for underlying storage accounts. ADX Mark-up is only calculated on Engine compute resources and when cluster is stopped, ADX mark-up is not charged.
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Data Management service is deployed as part of ADX Cluster deployment and is responsible for implementing data ingestion pipelines and hygiene background tasks for Engine service. Data Management service instances are using the applicable SKU size from the Da_v4 series when possible and there is no mark-up charge for this service.
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All the resources that Azure Data Explorer uses such as VMs, Storage and ADX mark-up are eligible for reserved instances discount. In particular, Azure Data Explorer reserved instances helps you save money by offering a discount if you prepay for one year or three years of provisioned throughput. Reserved instances provide a billing discount and does not affect the runtime state of your resources. You can buy a reserved instances for Azure Data Explorer in the Azure portal. To learn more about this, read Azure Data Explorer documentation.
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