Announcing Volume Tier Pricing and Flex IPU Consumption-Based Pricing for Informatica Intelligent Data Management Cloud

Last Published: Aug 01, 2023 |
Yann Gaucher
Yann Gaucher

VP of Pricing

During these uncertain macroeconomic conditions, we know our customers are more cost-conscious than ever. Despite this, companies continue to invest in IT solutions. According to a Spiceworks Ziff Davis survey of 1,400+ IT professionals, roughly half (51%) of organizations planned to increase IT budgets in 20231

No matter your budget, one of the best ways to address cost concerns is to manage and control your spending in the cloud. Your savings in the cloud depend on what platforms you’re using, the complexity of your use cases and the pricing model in place. We know that one critical part of achieving agility, flexibility and cost-effectiveness in the cloud comes down to how you’re able to buy and consume cloud services. 

That’s where consumption-based pricing comes in. Consumption-based pricing enables companies to optimize costs by dynamically scaling usage across various data management services. At Informatica, we already have a consumption-based pricing model in place for the Informatica Intelligent Data Management Cloud™ (IDMC) with the Informatica Processing Unit (IPU).

When you purchase IDMC services by leveraging cloud marketplaces such as Microsoft Azure, Amazon Web Services (AWS) and Google Cloud, the IPU model is available to you as well. As new capabilities are introduced in IDMC, these are automatically available for you to consume. The IPU model also offers a greater ability for automation by improving provisioning and reporting capabilities. And now we’re evolving it to better enable our clients to track and manage costs.

Today, we’re introducing a Flex IPU consumption-based pricing for IDMC. These changes will enable you to pick the option that best meets your needs, whether you have predictable or volatile workloads.

We’re also introducing Volume Tier Pricing to ensure that customers benefit from their growing commitment to Informatica as they onboard more use cases.

Flexible Pricing for Modern Cloud Services

Let’s take a closer look at both of these announcements and what they mean for you:

Volume Tier Pricing: Volume Tier Pricing ensures our customers benefit from leveraging the breadth of IDMC services as they scale to support additional use cases. This pricing strategy makes scaling more cost-effective by guaranteeing expansion at the same or lower per unit list price. Volume Tier Pricing is also applicable to MDM SaaS services. Volume Tier pricing is now available as part of the IPU model. You can pre-commit to a usage level that best meets your workloads and needs, scaling as your demand increases. You can rest assured that new purchases are always priced at, or lower than, the pre-unit price of your previous orders. 

Flex IPU: Under the newly introduced Flex IPU consumption model, unused IPUs expire at the end of the contract anniversary year. This means you can use your IPUs throughout the year as needed, which gives you higher usage flexibility. But if you have predictable and consistent usage patterns, you may want to stay on the IPU consumption model. This is where unused IPUs expire at the end of each contract month. Both models also support our new volume tier pricing, which offers significant savings on the cost per IPU as your consumption increases. 

These changes to our pricing model are meant to meet your seasonal, cyclical or volatile usage patterns. They grant you access to all the supported services, connectors and processing engines within IDMC in the same way. This allows you to use only what you need based on your business requirements at any given time. As your needs change, you can easily use new functionality. With IPUs, you can also optimize costs with flexible processing engine options (secure agent, serverless or elastic) as data volumes and performance requirements evolve.

A Pricing Model Aligned to Your Needs

The IPU models offer tremendous value and benefits by granting access to a wide range of services and measuring their use on a consumption basis.

Figure 1. Key benefits you can expect from the IPU model


Both the IPU and Flex IPU models will enable you to track and manage your consumption. You can view and download summary data. You’re also able to drill down to see detailed data for current and historical usage, individual service consumption, sandbox and sub-org consumption. This can help you plan your usage by estimating your usage upfront so you can plan wisely and stay in control of your spending. 

The IPU model also allows you to identify departmental chargebacks by tracking IPU consumption at the organization or service level. And it tracks your usage via a dashboard so you can plan ahead. If you need help estimating your initial needs, we’re happy to help.

Figure 2. An example of what the IPU dashboard looks like


Getting Started with IPU

Informatica offers the industry’s first, most comprehensive and most at-scale cloud focused only on data management. Informatica’s IDMC is powered by the CLAIRE® AI engine. It enables end-to-end, modular data management solutions and a connected data strategy with a fully integrated, complete data lifecycle essential for enabling numerous business use cases. 

The IPU models provide you with access to all major data management services within a single cloud offering, in contrast to licensing and maintaining multiple-point solutions. This model offers a consumption plan, where unused IPUs expire at the end of each contract month, or at the end of the contract anniversary year. You can start small and then expand as your business and data management requirements evolve. And you can avoid investments in multiple products with overlapping capabilities.

IPU pricing is available now for all data integration, mass ingestion, API and app integration, data quality, data governance and catalog and data masking services. You can get started with convenient IPU or Flex IPU consumption plans. For more information, check out our IPU pricing page.

First Published: Feb 23, 2023