Informatica Intelligent Cloud Services
by Informatica · iPaaS
AI-driven iPaaS for data and application integration across ERPs.
- Works with
- SAP, Oracle, NetSuite, Workday
- Deployment
- Cloud, Hybrid
- Company size
- Enterprise
- Pricing
- Quote-based
- Founded
- 1993
- Headquarters
- Redwood City, California, USA
Overview
Informatica Intelligent Cloud Services (IICS), delivered on the Informatica Intelligent Data Management Cloud (IDMC), is an AI-powered iPaaS that spans cloud data integration, application/API integration, data quality, master data management, and data governance on a single platform. It is aimed at organizations that need large-scale, governed data movement and integration -- such as feeding data warehouses and lakes -- as well as application and process integration across SaaS and on-premises systems including ERPs.
The platform is built around the CLAIRE AI engine, which applies machine learning and metadata intelligence to automate and recommend integration tasks, accelerate mapping, and improve data quality. IICS offers modular services -- Cloud Data Integration, Cloud Application Integration, API Management, Mass Ingestion, and MDM -- with thousands of pre-built connectors and reusable mappings, plus a Secure Agent runtime that processes data inside a customer's environment for hybrid and on-premises connectivity.
Informatica is a long-established data-management vendor, and the company was acquired by Salesforce, with the transaction completed in November 2025. Informatica is consistently recognized in analyst evaluations of enterprise integration and data management, and primarily serves large enterprises with demanding data integration and governance requirements.
Screenshots & demo
Demo video from the vendor's YouTube channel.
Features & capabilities
Pre-built Connectors
Large library of connectors for apps, databases, and cloud platforms.
- Thousands of pre-built connectors across SaaS, databases and warehouses
- Connectors for SAP, Oracle, NetSuite, Workday and Salesforce
- Connectors for Snowflake, Databricks, AWS, Azure and Google Cloud
- Connector toolkit / SDK for custom connectors
- Reusable mappings and templates
Cloud Data Integration (ETL/ELT)
High-volume data integration for analytics workloads.
- Visual mapping designer for ETL and ELT (pushdown)
- Mass Ingestion for files, databases, applications and streaming/CDC
- Advanced transformations and data pipelines
- Parameterized, reusable mappings
- High-scale, distributed processing
Cloud Application & API Integration
Real-time application integration and API publishing.
- Process designer for real-time application integration
- Publish processes as REST/SOAP APIs
- API management with gateway and policies
- Event-driven and service orchestration
- Human-task and process automation
CLAIRE AI Engine
AI/ML and metadata intelligence across the platform.
- Metadata-driven automation and recommendations
- AI-assisted mapping and transformation suggestions
- Automated data classification and quality insights
- CLAIRE GPT / natural-language assistance
Data Quality & Governance
Trust and governance capabilities alongside integration.
- Cloud data quality rules and profiling
- Data catalog and lineage
- Master data management (MDM) services
- Governance and privacy controls
Hybrid Runtime & Monitoring
Secure Agent runtime and operations.
- Secure Agent for processing data in customer environments
- Hybrid and multi-cloud execution
- Operational monitoring dashboards and logs
- Job scheduling, alerting and lifecycle management
Common use cases
- Loading ERP and SaaS data into cloud data warehouses and lakes
- Mass ingestion and change data capture (CDC) from databases
- Real-time application integration across ERP, CRM, and HCM
- Building and governing APIs over enterprise data
- Master data management for customer, product, and supplier data
- Data quality and governance for trusted analytics and AI
- Hybrid integration with on-premises systems via Secure Agents
Strengths & considerations
Strengths
- Unified platform spanning data integration, application/API integration, data quality, governance and MDM
- CLAIRE AI/metadata engine automates and recommends integration and data-management tasks
- Scales to very high-volume enterprise data integration and ingestion workloads
Considerations
- Breadth and enterprise focus can be more than needed for simple SaaS-to-SaaS automation
- Pricing is quote-based (consumption IPU model) and oriented to enterprise budgets
ERP integrations
Pricing
Subscription priced primarily on a consumption model (Informatica Processing Units, IPUs) plus selected services. A free trial is available. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- SaaS (multi-tenant) IDMC with Secure Agent runtime for in-environment processing
- Data residency
- US, EU, APAC
- Compliance
- SOC 1, SOC 2, ISO 27001, HIPAA, GDPR
- Mobile app
- No
- Languages
- English, Multiple
About the vendor
- Founded
- 1993
- Headquarters
- Redwood City, California, USA
- Employees
- ~5,000
- Ownership
- Public (acquired by Salesforce, completed November 2025)
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Informatica Intelligent Cloud Services — frequently asked questions
What is CLAIRE in Informatica's platform?
CLAIRE is Informatica's AI engine that uses machine learning and metadata intelligence to automate and recommend integration, data-quality, and data-management tasks across the platform.
Is IICS only for data integration?
No. In addition to large-scale data integration and ingestion, it includes cloud application/API integration, data quality, governance, and master data management.
How does Informatica process on-premises data?
Through the Secure Agent, a runtime deployed in the customer's environment that executes integration jobs locally while management stays in the cloud.
Evaluating iPaaS?
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