# Pricing and Billing OVHcloud Data Platform offers you a pay-as-you-go approach with no up-front costs and no data transfer costs. Only pay for the product per minute of compute and per volume of data you query or store. ## Understanding Cost Gaining visibility into your Data Platform costs begins with understanding basic concepts, including the different types of usage that incur costs and the factors that determine the price of using resources. The total cost of using Data Platform is the aggregate of your data storage and compute resource usage. Service costs are detailed on the related [pricing page](https://www.ovhcloud.com/en-ie/public-cloud/prices/#data-platform). Unlike most competitors, OVHcloud Data Platform: * Does not charge data transfer fees (ingress or egress) for moving data into and out of your account. * Does not charge data ingest or service API-related fees. * Is fully transparent about the technical specifications of its "units" of compute: * **1 Data Platform Unit (DPU) is 1 vCPU and 4 GB of RAM**. ## Service Cost Examples The three following examples provide insight into the total cost in operating OVHcloud Data Platform to load, process, query data, and expose dashboards. ### Cost Example: Smaller Company This hypothetical customer is a small retail business leveraging Data Platform data warehouse capabilities for BI. They ingest 2 GB of data every working day, totaling 40 GB (80M lines) monthly. The process requires 2 DPU for 2 hours daily to load data, plus an additional 2 DPU for 2 hours daily to aggregate tables. Consequently, their total monthly DPU usage reaches 160 hours (2 DPU x 4 hours/day x 20 working days). Their total storage currently stands at 500 GB, and their analytics team scans an average of 2 TB of stored data monthly. | Services | Volume / month | Cost / month | | :------------------ | :-------------------------------------- | :----------- | | Storage | 500 GB | 10.50 € | | Data Processing | 160 h of DPU (2 DPU x 4h x 20 work days) | 12.96 € | | Lakehouse Queries | 2 TB | 10.96 € | | **Total cost excl. VAT** | | **34.42 €** | ### Cost Example: Mid-Market This hypothetical customer is a medium-sized Tech company using Data Platform to centralize and aggregate data analytics from their main Information System tools. They ingest a continuous stream of 720 GB of data per month (1.4 billion lines). Their Data Engineering team performs advanced data transformation using PySpark. Overall, data loading and transformation consume an average of 20 DPUs for 6 hours per working day each month, resulting in 2,400 hours of DPU usage for data processing (20 DPU x 6 hours x 20 working days). Their total lakehouse storage is 25 TB, and their data analysts run queries scanning a total of 50 TB of stored data. Additionally, they use 4 DPUs 24/7 to run deployed Application Services, totaling 2,920 hours of additional DPU usage (4 DPU x 730 hours). This client decided to subscribe to [OVHcloud Business Support](https://www.ovhcloud.com/en-ie/support-levels/business/) to access our technical expert team 24/7 with less than 30 min response time. | Service | Volume / month | Cost / month | | :------------------------ | :---------------------------------------------------- | :------------- | | Storage | 25 TB | 525.00 € | | Data Processing | 2,400 h of DPU (20 DPU x 6h / day x 20 work days) | 192.00 € | | Analytics Queries | 50 TB scanned | 273.50 € | | App Services | 2,920 h of DPU (4 DPU x 730 h on a month) | 233.60 € | | 24/7 Business Support | 10% of total OVHcloud bill | 122.41 € | | **Total cost excl. VAT** | | **1,346.51 €** | ### Cost Example: Enterprise This hypothetical customer is a health insurance company operating in multiple countries, using the solution to cover the analytics needs of its subsidiaries, aggregated at a group level. They utilize an average of 40 DPUs for approximately 10 hours each, 6 days a week, for advanced data exploration and processing. They store 100 TB of data in their Data Lakehouse. Their data analyst team scans about 500 TB of data for their queries, both locally in the Data Lakehouse and on their remote on-prem storage via direct queries. Additionally, they use 4 DPUs to host APIs and application services deployed 5 days a week (400 hours a month), totaling 1,600 hours of additional DPU usage (4 DPU x 400 hours). This client decided to subscribe to [OVHcloud Business Support](https://www.ovhcloud.com/en-ie/support-levels/business/) to access our technical experts team 24/7 with less than 30 min response time. | Service | Volume / month | Cost / month | | :------------------------ | :---------------------------------------------------------------- | :------------- | | Storage | 100 TB | 2,100.00 € | | Data Processing | 9,600 h of DPU (40 DPU x 10h / day x 6 days / week x 4 weeks) | 768.00 € | | Analytics Queries | 500 TB | 2,735.00 € | | App Services | 1,600 h of DPU (4 DPU x 400 h) | 172.80 € | | 24/7 Business Support | 10% of total OVHcloud bill | 577.58 € | | **Total cost excl. VAT** | | **6,353.38 €** | ## Exploring Your Usage Statements You can monitor Projects or Organizations resources and retrieve key metrics with [Data Platform Control Center](/en/product/cc/index.md), including CPU, memory, network usage, and more. OVHcloud generates a monthly usage statement for customers who have at least one active service. To access this from your Data Platform Project or Organization, click on the configuration wheel on the top right of your screen, then the "Billing information" button on the list: ![Screenshot of Billing Information in Control Center](picts/billing-information.png) This statement itemizes usage for the month as expressed in credits consumed and currency spent. It also contains an estimate of your OVHcloud next invoice and the history of your invoices, with a split per service: ![Screenshot of Billing Information in Control Center](picts/billing-information-2.PNG) > For each Data Platform service, you can view the Region, the type of the service, its volume of usage, and related cost. Note that we created a tutorial explaining how to generate OVHcloud [billing analytics dashboards](/en/getting-further/billing-OVHapi/index) using Data Platform, with OVHcloud API as data source. You can also use OVHcloud Data Platform and embedded Apache SuperSet to implement advanced FinOps use cases based on the FOCUS format as explained in this [tutorial](/en/getting-further/finops-focus-superset/index). ## Accessing Your Bills Access and manage your Data Platform bills, and all other OVHcloud invoices, conveniently from your [OVHcloud Control Panel](https://www.ovh.com/manager/). For more information, see the [Managing OVHcloud bills article](https://help.ovhcloud.com/csm/en-billing-manage-ovh-bills?id=kb_article_view&sysparm_article=KB0042850). ## Best Practices to Control Your Costs * [Create a dashboard](/en/getting-further/billing-OVHapi/index) to analyze your Data Platform billing data so you can monitor and make adjustments to your service usage. * [Set up quotas](/en/product/organisations/orga_settings?id=quotas) at the Data Platform organization level as safeguards against unintended over-consumption. * Consider archiving data in [OVHcloud Object Storage](https://www.ovhcloud.com/en-ie/public-cloud/object-storage/) Standard, Infrequently Access, or Cold Archive classes. * Get in touch with our[Professional Services](https://www.ovhcloud.com/en-ie/professional-services/) team or data consulting expert firms, members of the [OVHcloud Partner Program](https://partner.ovhcloud.com/en-ie/directory/), to assess and optimize your data architecture and your costs.