Workflows & Streaming: Delta Live Tables Pricing

DBUs are a measure of the processing power used to run your workload. Databricks manages the underlying infrastructure and uses real-time intelligence about your workload to determine how to efficiently scale resources to meet its needs. Our enhanced autoscaler automatically winds down resources when it determines that they are no longer needed.

With serverless, you do not pay for the time it takes to start up compute infrastructure such as virtual machines. Databricks maintains a fleet of resources ready to serve your workloads, hence you only pay once your job starts executing or your notebook connects to serverless compute.

There are no minimum duration charges associated with the use of serverless compute. If resources have been idle for a few minutes, we automatically wind them down to reduce your cost.

Classic compute will be listed as “DLT Core Compute”, “DLT Pro Compute” or “DLT Advanced Compute” depending on which tier you are using.
Classic compute with Photon will be listed as “DLT Core Compute (Photon)”, “DLT Pro Compute (Photon)” or “DLT Advanced Compute (Photon)” depending on which tier you are using.
Serverless compute on AWS and GCP will appear as “Jobs Serverless Compute”
Serverless compute on Azure will appear as “Automated Serverless Compute”

DBUs are a measure of the processing power used to run your workload. Databricks manages the underlying infrastructure and uses real-time intelligence about your workload to determine how to efficiently scale resources to meet its needs. The best way to estimate serverless DBUs is to run a few representative workloads on serverless and measure the resultant DBUs.

Serverless DBUs are a measure of the amount of processing power used to run your workload. Photon is automatically enabled in serverless and typically accelerates your workloads. The DBU rate (DBU/hr) for a workload on serverless appropriately reflects the processing power of Photon and is comparable to the DBU rate of a classic Photonized cluster. For most workloads, the total DBUs consumed will roughly remain the same when compared to running the workload on classic clusters.

Enzyme is a capability of DLT Serverless that enables incremental refresh of DLT pipelines. It reduces the need for a full refresh of your Materialized View thus saving compute costs.

Micro-batch pipeline is a capability of our Serverless compute platform that significantly reduces latency of your streaming pipelines

Yes, customers will be charged for data transfer costs associated with their Serverless workloads. Currently, Serverless Networking is in preview and is offered for free. However, we reserve the right to charge for networking-related costs in cases of excessive usage.

Databricks has discontinued the Standard tier for new customers on AWS and Google Cloud. Any existing customer that remains on the Standard tier on AWS and Google Cloud will be automatically upgraded to the premium tier on Oct 1, 2025. For existing customers, the Standard tier prices on AWS and Google Cloud are outlined below:

• DLT Core / DLT Core Photon: $0.20/DBU
• DLT Pro / DLT Pro Photon: $0.25/DBU
• DLT Advanced / DLT Advanced Photon: $0.36/DBU

Delta Live Tables performs maintenance tasks within 24 hours of a table being updated. Please refer to the product documentation for the types of maintenance tasks performed by DLT. Customers are charged for the compute used to run these maintenance tasks. In DLT Classic, the maintenance tasks consume Jobs Compute DBUs. In Serverless DLT, the maintenance tasks consume Automated Serverless Compute DBUs (Azure) OR Jobs Serverless Compute DBUs (AWS and GCP)