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.
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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 Thomson Reuters benchmark rates refreshed on the first day of each calendar 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. For more information on Azure pricing see frequently asked questions.
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 | 1.8TB SSD | $- | $- | $- |
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| L16as v3 | 16 | 3.5TB 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 | 1.8TB SSD | $- | $- | $- |
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| L16s v3 | 16 | 3.5TB 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 | 1TB SSD | $- | $- | $- |
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| E8as v5 | 8 | 2TB SSD | $- | $- | $- |
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| E16as v5 | 16 | 3TB SSD | $- | $- | $- |
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| E16as v5 | 16 | 4TB 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 | 1TB SSD | $- | $- | $- |
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| E8as v4 | 8 | 2TB SSD | $- | $- | $- |
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| E16as v4 | 16 | 3TB SSD | $- | $- | $- |
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| E16as v4 | 16 | 4TB 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 | 1TB SSD | $- | $- | $- |
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| E8s v5 | 8 | 2TB SSD | $- | $- | $- |
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| E16s v5 | 16 | 3TB SSD | $- | $- | $- |
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| E16s v5 | 16 | 4TB 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 | 1TB SSD | $- | $- | $- |
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| E8s v4 | 8 | 2TB SSD | $- | $- | $- |
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| E16s v4 | 16 | 3TB SSD | $- | $- | $- |
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| E16s v4 | 16 | 4TB 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 | 1TB SSD | $- | $- | $- |
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| DS13 v2 | 8 | 2TB SSD | $- | $- | $- |
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| DS14 v2 | 16 | 3TB SSD | $- | $- | $- |
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| DS14 v2 | 16 | 4TB 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 | 1.7TB SSD | $- | $- | $- |
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| L16s v2 | 16 | 3.5TB 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 | 55GB SSD | $- | $- | $- |
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| E4ads v5 | 4 | 116GB SSD | $- | $- | $- |
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| E8ads v5 | 8 | 240GB SSD | $- | $- | $- |
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| E16ads v5 | 16 | 485GB 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 | 55GB SSD | $- | $- | $- |
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| E4d v5 | 4 | 116GB SSD | $- | $- | $- |
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| E8d v5 | 8 | 240GB SSD | $- | $- | $- |
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| E16d v5 | 16 | 485GB 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 | 55GB SSD | $- | $- | $- |
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| E4d v4 | 4 | 116GB SSD | $- | $- | $- |
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| E8d v4 | 8 | 240GB SSD | $- | $- | $- |
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| E16d v4 | 16 | 485GB 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 | 976GB 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 | 976GB 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 | 80GB SSD | $- | $- | $- |
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| D12 v2 | 4 | 160GB SSD | $- | $- | $- |
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| D13 v2 | 8 | 317GB SSD | $- | $- | $- |
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| D14 v2 | 16 | 628GB 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 | 30GB SSD | $- | $- | $- |
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| E4a v4 | 4 | 66GB SSD | $- | $- | $- |
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| E8a v4 | 8 | 140GB SSD | $- | $- | $- |
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| E16a v4 | 16 | 285GB SSD | $- | $- | $- |
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To estimate your Azure Data Explorer cost, visit the cost estimator page.
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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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