ELT & data integration · Informatica Inc.

Informatica

Enterprise-grade cloud data integration and management suite, priced by consumption of Informatica Processing Units (IPUs).

Visit Informatica Alternatives

Informatica is a large, long-standing enterprise data management vendor whose Intelligent Data Management Cloud spans data integration, application/API integration, master data management, data quality, cataloging and governance. Its AI engine, CLAIRE, assists with mapping recommendations and pipeline optimization. Pricing is consumption-based through Informatica Processing Units (IPUs), a single credit pool consumed across multiple services (the Secure Agent runtime, CDI-elastic compute, mass ingestion volume and others), which lets customers move budget between services rather than buying per-product licenses; Master Data Management is billed separately per domain record. It is positioned for large enterprises with complex governance, compliance and multi-cloud requirements rather than smaller teams wanting a quick self-serve setup.

At a glance

Vendor Informatica Inc.
Pricing model Quote only
Free tier No
Deployment Cloud, Self-hosted
Open source No
Best for Large enterprises needing integration bundled with governance, MDM and data quality at scale.

Pricing

Consumption-based pricing metered in Informatica Processing Units (IPUs) shared across services; no public price list, quote required.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features

  • Cloud and on-premises data integration
  • AI-assisted mapping (CLAIRE engine)
  • Master data management
  • Data quality and cataloging
  • API and application integration
  • Mass ingestion for bulk/CDC loads
  • Shared IPU consumption model across services

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

Talend Enterprise data integration and data quality suite, now sold as Qlik Talend Cloud after Qlik's acquisition of Talend. Matillion Cloud-native ELT platform with a low-code visual pipeline designer that pushes transformations down into the target warehouse. Azure Data Factory Microsoft's cloud ETL/ELT and orchestration service for building and scheduling data pipelines across Azure and hybrid sources. AWS Glue Serverless AWS ETL service using Apache Spark under the hood, billed per Data Processing Unit-hour with no infrastructure to manage.

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Terms to know

ETL (extract, transform, load) A data integration pattern that transforms data before loading it, unlike ELT which transforms after loading. ELT (extract, load, transform) A data integration pattern that loads raw data first and transforms it afterward using the warehouse's own compute. Data governance The policies, roles and processes that determine how data is defined, owned, accessed and kept compliant. Master data management (MDM) The discipline of maintaining one authoritative, consistent record for core entities like customers or products. API integration Connecting two systems by having one call the other's application programming interface to exchange data. Data quality The degree to which data is accurate, complete, consistent and fit for the purpose it is being used for.

Related guides

How to choose an ELT tool ELT tools differ less on connector count than on who operates them, how pricing scales, and whether transformation happens in the tool or downstream.