IICS stands for Informatica Intelligent Cloud Services, Informatica's cloud-native platform for data integration, application integration, and data management. Its core ETL service, Cloud Data Integration (CDI), connects, transforms, and moves data between cloud applications, on-premises systems, warehouses, and lakes through a low-code interface. Informatica has since branded the platform the Intelligent Data Management Cloud (IDMC), so IICS and IDMC refer to the same cloud platform, and CDI is the service inside it. The topic matters more in 2026 because Informatica ended standard support for PowerCenter 10.5 on March 31, 2026, and now focuses its development efforts on the cloud platform.
Searches for IICS usually start with a simple question, such as what the acronym means, and quickly turn into a bigger one: what does Informatica's cloud platform actually do, and does it fit your estate? This article answers both. It covers the full form, the IICS and IDMC naming, how the architecture works, how ETL runs in Cloud Data Integration, how it compares with PowerCenter, and when another platform may suit you better. For a deeper side-by-side, see our Informatica PowerCenter vs IICS comparison.
IICS stands for Informatica Intelligent Cloud Services. It is Informatica's cloud-native data integration and management platform, built from the ground up on a microservices architecture and first released in December 2017 with Cloud Data Integration. It connects cloud applications, on-premises databases, data warehouses, data lakes, streaming platforms, and enterprise applications, using a low-code interface, pre-built connectors, and AI assistance from Informatica's CLAIRE engine.
Teams use IICS to modernize legacy ETL pipelines and build cloud data architectures. If that is your goal, our guides to migrating legacy ETL to the cloud and data migration from legacy systems using ETL walk through the process, and our primer on what ETL is and why enterprises need it covers the basics.
The names overlap, which is why this is the most confusing part of the topic:
| Term | What It Means |
|---|---|
| IICS (Informatica Intelligent Cloud Services) | The original name of Informatica's cloud platform, launched in 2017 and still the name most people search for |
| IDMC (Intelligent Data Management Cloud) | The current name of that platform, covering data integration, data quality, application integration, MDM, and governance |
| CDI (Cloud Data Integration) | The ETL and data integration service, often written as IICS CDI, the part that runs mappings, tasks, and taskflows |
| PowerCenter | Informatica's older on-premises ETL tool, a separate product |
Informatica's own materials state that Informatica Intelligent Cloud Services is now the Informatica Intelligent Data Management Cloud. In practice, IICS and IDMC refer to the same cloud platform, and it delivers individual services, including Cloud Data Integration. Our overview of the Informatica ETL data integration service covers the service layer in more depth.
Two events in the past year raised the stakes:
Informatica offers a modernization route from PowerCenter, including PowerCenter Cloud Edition and Cloud Data Integration. If you run PowerCenter on AWS today, see our PowerCenter AWS deployment best practices and PowerCenter architecture overview.
IICS has two main parts: the cloud services and the Secure Agent.
Where the agent runs matters for security and data residency, so confirm what executes where before you commit. Our guide to how traditional and modern ETL differ explains why this architecture shifts the work from servers you manage to services you configure.
CDI builds pipelines from mappings (the transformation logic), tasks (the way a mapping is run), and taskflows (sequences of tasks with dependencies). The ETL stages work like this:
| Stage | What CDI Does | Typical Sources and Targets |
|---|---|---|
| Extract | Pulls data from cloud, on-premises, and streaming systems through connectors | Cloud warehouses such as Amazon Redshift, Google BigQuery, and Snowflake; applications such as Salesforce, SAP, and Workday; databases such as Oracle, SQL Server, and PostgreSQL; streaming platforms such as Apache Kafka and Amazon Kinesis |
| Transform | Cleans, enriches, aggregates, validates, and maps data, including metadata-driven and AI-assisted mapping | Aggregations, filtering, validation, and complex calculations |
| Load | Delivers data to warehouses, lakes, databases, BI platforms, and cloud storage, with parallel processing and incremental loading to cut run time | Cloud data warehouses, data lakes, and enterprise databases |
Connector availability varies by license and release, so check Informatica's connector catalog for your exact systems. For tuning the pipelines you build, see our guide to ETL process optimization, and for automation across tools, ETL automation solutions.
| Feature | PowerCenter | IICS (IDMC) |
|---|---|---|
| Deployment | On-premises or self-managed infrastructure | Cloud-native services, with a Secure Agent in your environment |
| Development | Desktop design tools | Browser-based, low-code |
| Roadmap | PowerCenter 10.5 standard support ended March 31, 2026 | Where Informatica's new development is focused |
| Migration | Source for a modernization project | Target: mappings are usually redesigned and validated, not copied one for one |
For the full comparison, see PowerCenter vs IICS: key feature differences.
| Situation | Better Fit |
|---|---|
| Many SaaS and cloud applications to integrate, with a team that wants low-code | IICS |
| Existing PowerCenter estate and Informatica skills | IICS, usually through a planned modernization |
| Strict on-premises-only or data residency requirements | Check what runs where first; some estates need a hybrid design |
| AWS-centered stack with Spark skills | AWS Glue may fit better |
| Many application and API integrations with a visual pipeline style | SnapLogic is worth comparing |
DataTerrain delivers moves to Informatica IICS, Informatica, SnapLogic, and AWS Glue, so the recommendation depends on your estate, not on a single product. Our AWS ETL services overview covers the AWS side.
A PowerCenter-to-IICS move works best as a staged project:
Automation can shorten the conversion step, as in our Informatica ETL automation and ETL automation for legacy data migration work.
The PowerCenter deadline has passed, and the real question is how much of your estate can move as-is and how much needs redesign. DataTerrain brings 17+ years and 400+ clients in ETL and data platform work to Informatica IICS migrations and to alternatives such as AWS Glue and SnapLogic, with automated assessment, conversion, and validation. Start with ETL to Informatica IICS or our wider ETL Solutions.
Informatica PowerCenter vs IICS | ETL to Informatica IICS | ETL to Informatica | Informatica ETL Consulting Services | Informatica PowerCenter AWS Deployment | Informatica PowerCenter Architecture | PL/SQL to Informatica IICS | Legacy PL/SQL to Modern ETL | Migrating Legacy ETL to the Cloud | Data Migration from Legacy Systems Using ETL | What Is ETL and Why Do Enterprises Need It | Traditional ETL vs Modern ETL | ETL Process Optimization | ETL Automation Solutions | ETL Automation for MDM Migration | Informatica ETL Automation | ETL to AWS Glue | ETL to SnapLogic | ETL Solutions