--- title: Informatica Data Integration and Engineering Reviews meta_title: 'Informatica Data Integration and Engineering Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 337 reviews by the users' company size, role or industry to find out how Informatica Data Integration and Engineering works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 337 scale: '5' date_modified: '2026-09-23' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # Informatica Data Integration and Engineering Reviews **Vendor:** Informatica **Category:** [ETL Tools](https://www.g2.com/categories/etl-tools) **Average Rating:** 4.3/5.0 **Total Reviews:** 337 **AI Enabled:** This product embeds AI to enhance or extend its core functionality. ## About Informatica Data Integration and Engineering Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs. ## Informatica Data Integration and Engineering Pros & Cons Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews. **What users like:** - Users find Informatica Data Integration's **ease of use** remarkable, favoring its intuitive interface and drag-and-drop functionality. (3 reviews) - Users value the **efficiency** of Informatica Data Integration, enabling reliable and scalable ETL processes seamlessly. (2 reviews) - Users value the **ease of use and extensive connectivity** of Informatica Cloud Data Integration for efficient ETL processes. (2 reviews) - Users value the **time-saving capabilities** of Informatica Data Integration, benefiting from efficient cloud access and automation. (2 reviews) - Users appreciate the **automation features** of Informatica Data Integration, enhancing efficiency in data workflows and scheduling. (1 reviews) - Connectors Quantity (1 reviews) - Data Integration (1 reviews) - Data Transfer (1 reviews) - Drag (1 reviews) - Users find Informatica Cloud Data Integration's **ease of learning** to be advantageous due to its user-friendly interface. (1 reviews) **What users dislike:** - Users find the **complexity of setup and configuration** challenging, particularly for beginners navigating the platform. (1 reviews) - Users find the **complex usability** of Informatica Data Integration challenging, especially during setup and performance optimization. (1 reviews) - Users find that **debugging can be difficult** , as it often requires significant effort and expertise to manage effectively. (1 reviews) - Users find the **difficult setup** process challenging, especially for newcomers to the Informatica platform. (1 reviews) - Users find the **error messages frustrating** and lacking documentation, complicating their experience with the tool. (1 reviews) - Users face challenges due to **limited tutorials and inconsistent error reporting** while using Informatica Cloud Data Integration. (1 reviews) - Users find Informatica Cloud Data Integration to be **quite expensive** , especially challenging for smaller organizations and teams. (1 reviews) - Users face a challenging **learning curve** due to limited tutorials and occasional odd errors with mappings. (1 reviews) - Missing Features (1 reviews) - Not User-Friendly (1 reviews) ## Informatica Data Integration and Engineering Reviews ### 1. Efficient, Reliable Data Integration with Powerful Transformation and Data Quality **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like best about Informatica Data Integration and Engineering is its ability to integrate data from multiple sources efficiently and reliably. The platform provides strong data transformation, automation, and data-quality capabilities, making it easier to manage complex data workflows and ensure consistent, trusted data across systems. **What do you dislike about Informatica Data Integration and Engineering?** The main thing I dislike is that Informatica Data Integration and Engineering can have a steep learning curve, especially for new users. Some advanced features and configurations can also feel complex, and troubleshooting integration issues may require significant technical knowledge. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering helps solve the challenge of integrating, transforming, and managing data from multiple sources in a reliable and scalable way. It reduces manual data-processing effort, improves data quality and consistency, and makes data more accessible for reporting and business processes. This helps me work more efficiently, reduce data-related issues, and have greater confidence in the accuracy of the data. ### 2. Powerful Data Integration and Governance, but Setup and Costs Are Steep **Rating:** 3.5/5.0 stars **Reviewed by:** Gabriel F. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** Powerful data mapping and transformation capabilities handle complex integration scenarios. Strong connectivity to diverse data sources and systems. Excellent performance with large-volume data processing. Reliable error handling and logging for data quality assurance. Good governance and lineage tracking for compliance and audit purposes. **What do you dislike about Informatica Data Integration and Engineering?** Complex configuration and setup requires specialized expertise, increasing implementation time and cost. Steep learning curve for building and maintaining data pipelines. High licensing costs can be prohibitive. Performance tuning and troubleshooting demands dedicated resources. Integration with Salesforce sometimes requires custom connectors or workarounds. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Automates data movement between disparate systems, eliminating manual processes and data entry errors. Ensures data consistency and quality across enterprise applications. Provides reliable ETL/ELT pipelines for complex data transformations at scale. Enables real-time data synchronization between Salesforce and backend systems. For administration, it reduces operational overhead, improves data accuracy flowing into Salesforce, maintains data governance and lineage for compliance, and enables self-service data integration without IT bottlenecks. ### 3. Powerful, Reliable Data Integration at Scale with Strong Monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** Kalpna S. | Information System Manager- Go to Market, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like best about Informatica Data Integration and Engineering is its ability to handle complex data integration workflows across multiple systems while maintaining strong data quality and reliability. The platform provides powerful ETL/ELT capabilities, good connectivity with cloud and on-premises data sources, and robust transformation options. I also appreciate its scalability for large data volumes and the monitoring and error-handling capabilities, which make it easier to troubleshoot integrations and maintain stable data pipelines. **What do you dislike about Informatica Data Integration and Engineering?** One thing I dislike about Informatica Data Integration and Engineering is the learning curve, especially for users who are new to the platform. Some configurations and troubleshooting can feel complex, and identifying the root cause of integration failures can be time-consuming. The interface and development experience could also be more intuitive in certain areas. Additionally, licensing and implementation costs can be relatively high, particularly for smaller organizations or teams with simpler integration needs. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering helps us solve the challenge of integrating and synchronizing data across multiple systems, applications, and data sources. It reduces manual data movement, improves data quality and consistency, and automates complex ETL/ELT workflows. This benefits us by providing more reliable and timely data for reporting and business decisions, reducing integration errors and manual effort, and making it easier to scale our data processes as business needs grow. ### 4. Powerful Data Integration and Quality Across Complex Environments **Rating:** 4.0/5.0 stars **Reviewed by:** Gayathri K. | CEO, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 14, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like best is its ability to connect and manage data across complex environments. It provides strong tools for integration, transformation, and data quality, which makes it easier to bring information from multiple systems together and make it reliable and usable across the organization. **What do you dislike about Informatica Data Integration and Engineering?** The biggest drawback is the complexity. It is incredibly powerful, but that power can come with a steep learning curve, significant implementation effort, and licensing that can be difficult to understand and predict. For many organizations, especially nonprofits and associations, it can feel like more platform than they actually need. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica helps us move and manage data across systems without relying on as many manual processes or one-off integrations. It helps address data quality and consistency issues before they become downstream problems. The benefit is more reliable data, faster integrations, and greater confidence in the reporting, automation, and AI that depend on that data. ### 5. Enterprise-Grade Data Integration at Scale with Informatica **Rating:** 4.0/5.0 stars **Reviewed by:** Maham H. | Salesforce Solutions Architect, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 10, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like most about Informatica is its ability to handle complex enterprise data integration at scale. In the e-commerce and Salesforce OMS ecosystems I’ve worked with, data was distributed across Salesforce, ERP, inventory, fulfillment, payment, and other downstream systems. For example, in an OMS architecture, we had to bring together order, customer, product, inventory, and fulfillment data from multiple systems and make sure the right information reached Salesforce at the right time. Informatica’s ability to handle transformation, orchestration, data quality, and large-volume data movement is particularly valuable in that kind of environment. From an architecture perspective, I also like that it allows me to keep heavy data processing and transformation outside Salesforce. Salesforce can focus on customer and business processes, while Informatica provides the dedicated data integration layer. That separation becomes especially important as the ecosystem grows—it gives me better scalability, governance, and maintainability than trying to solve every integration requirement directly within Salesforce. **What do you dislike about Informatica Data Integration and Engineering?** From my perspective, I’d like a simpler developer experience, stronger real-time observability, and easier impact analysis across complex integration pipelines. Informatica is powerful, but that power can sometimes come with a steep learning curve and significant governance overhead. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** The biggest benefit for me as an architect is separation of responsibilities. Salesforce can focus on CRM and business processes, while Informatica handles the heavy data engineering work. That gives me a more scalable and maintainable architecture and makes it easier to introduce new systems without tightly coupling everything to Salesforce. ### 6. A steady tool for scheduled data pipelines, not a casual click-and-go product **Rating:** 3.0/5.0 stars **Reviewed by:** Sadahiro S. | Principal Evangelist, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 10, 2026 **What do you like best about Informatica Data Integration and Engineering?** I like that we can put transformation rules in one mapping, instead of keeping similar scripts in several places. Once a job is designed, the same pipeline can run on a schedule and bring source data into the shape we need. Connectors cover the systems we use, so we do not start from a blank file every time. For our team, the value is less “beautiful screen” and more “the data arrived this morning in the expected format.” After a few standard jobs were stable, the next request became easier to estimate. **What do you dislike about Informatica Data Integration and Engineering?** The mapping screen can become heavy when the logic grows. A failed job is not always easy to read at first, so someone who knows the tool still has to look at it. Moving a change from development to production also needs care. I would not give this to a person who only uses Salesforce reports. It works, but it expects an owner. If that owner is busy, even a small field change waits longer than it should. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** We used to collect data from each system in a slightly different way. One extract was a file, another was a manual download, and the column names were not the same. People spent time fixing the file before anyone could use it. When a job failed overnight, we often noticed only after someone asked why the number looked wrong. Informatica helps us run those movements as repeatable jobs. The source can change a little, but the output stays closer to the format the business already expects. For our team, morning checks became simpler, and we spend less time repairing spreadsheets. It does not remove the need for a data owner, but the daily pipeline is less dependent on one person’s hand work. ### 7. Ability to Integrate **Rating:** 5.0/5.0 stars **Reviewed by:** Hector A. | Architect, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from Spanish; Castilian using AI. **Reviewed Date:** September 14, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like most about Informatica Data Integration and Engineering is its ability to integrate and manage data from different sources efficiently. I also value the automation, scalability, and tools it offers to improve data quality and availability, facilitating analysis and decision-making. **What do you dislike about Informatica Data Integration and Engineering?** What I like least is that it can be complex to configure and manage, especially at the beginning. The learning curve can be steep, and depending on the use case, some functionalities and processes may feel more complicated than necessary. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering solves problems related to the integration, transformation, and management of data from different sources. It benefits me because it allows automating processes, improving data quality and availability, and reducing the time needed to prepare information for analysis and decision-making. ### 8. Simplifies and Centralizes Complex Data Integration Workflows **Rating:** 4.0/5.0 stars **Reviewed by:** Shreya u. | Salesforce Developer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like most about Informatica Data Integration and Engineering is its ability to simplify and centralize complex data integration workflows. It supports connectivity across a wide range of databases, applications, cloud platforms, and enterprise systems, which makes it easier to bring data together from different sources. **What do you dislike about Informatica Data Integration and Engineering?** The main thing I dislike about Informatica Data Integration and Engineering is the learning curve. The platform is very powerful and offers a wide range of features, but it can feel complex for new users, especially when setting up integrations, transformations, and more advanced workflows. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering helps solve the challenge of managing data across multiple systems, databases, applications, and cloud platforms. Without a centralized integration solution, moving and transforming data between these systems can require significant manual effort and create data consistency and quality issues. ### 9. Centralized, Reliable Data Pipelines with Scalable Automation **Rating:** 5.0/5.0 stars **Reviewed by:** Pujitha . | Salesforce Developer/platform Engineer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like most is its ability to integrate data from multiple sources and deliver a centralized, reliable data pipeline. The platform makes it easier to automate data integration, transformation, and data quality processes, while also supporting scalable enterprise data environments. **What do you dislike about Informatica Data Integration and Engineering?** What I dislike most is that the platform can feel complicated to configure and manage, especially for new users. Some integrations and workflows take a significant amount of setup and technical expertise, and the overall licensing and cost structure can also be challenging to handle in larger environments. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica helps solve the challenge of integrating and managing data across multiple systems and sources. It supports automated data movement, transformation, and data quality, which helps reduce manual effort, improve data consistency, and provide more reliable data for reporting, analytics, and business decisions. ### 10. Simplifies and Automates Data Integration with a User-Friendly Interface **Rating:** 4.0/5.0 stars **Reviewed by:** SHALINI S. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like best about Informatica Data Integration and Engineering is its ability to simplify and automate data integration across different systems. It provides a user-friendly interface, strong data transformation capabilities, and helps manage data workflows efficiently. **What do you dislike about Informatica Data Integration and Engineering?** One thing I dislike about Informatica Data Integration and Engineering is that it can take some time to learn and configure, especially for complex data integration workflows. Troubleshooting issues can also sometimes be challenging when dealing with large or complicated data pipelines. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering helps solve the challenges of integrating data from multiple applications, databases, cloud platforms, and on-premises systems. It simplifies ETL/ELT, data ingestion, transformation, and pipeline automation while also helping improve data quality and reliability. ### 11. Automating and putting data together **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Government Administration | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like about Informatica Data Integration and Engineering is its ability to bring data together from multiple sources and make it easier to manage and use. It helps automate data pipelines, transform large amounts of data, and improve data quality across cloud and on-premises environments. I also like its scalability and broad connectivity with different systems and platforms. Overall, it helps data teams reduce manual work, improve reliability, and deliver trusted data faster for analytics and business decision-making. **What do you dislike about Informatica Data Integration and Engineering?** What I dislike about Informatica Data Integration and Engineering is that it can be complex to set up and manage, especially for users who are new to the platform. The learning curve can be steep, and some advanced integrations may require specialized technical knowledge. Cost can also be a concern for smaller organizations. I would like to see a simpler user experience, easier configuration, and more straightforward troubleshooting tools. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering helps solve the problem of data being scattered across different systems, applications, and cloud platforms. It enables organizations to connect, integrate, transform, and move large amounts of data efficiently. It also helps address issues such as inconsistent data, manual data processing, and complex data pipelines. By automating these processes, Informatica can improve data quality, reduce errors, and make reliable data available faster for analytics, reporting, and business decision-making. ### 12. Enterprise-Grade Data Integration with Powerful Automation and Multi-Cloud Connectivity **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Construction | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 14, 2026 **What do you like best about Informatica Data Integration and Engineering?** What stands out most about Informatica Data Integration and Engineering (particularly within the Intelligent Data Management Cloud framework) is its ability to handle enterprise-scale complexity with a strong blend of automation and flexibility. Key aspects that make it a powerful platform include: Robust Hybrid and Multi-Cloud Connectivity: It seamlessly bridges legacy on-premises databases with modern cloud data warehouses, data lakes, and disparate SaaS applications through an extensive library of pre-built connectors.  Low-Code/No-Code Automation: The visual designer and automation tools significantly accelerate pipeline creation, reducing the manual effort required for routine ETL and ELT tasks while still allowing for advanced customization when needed.  AI-Driven Metadata Management: Leveraging its built-in AI engine (CLAIRE), the platform automates data discovery, mapping recommendations, and data quality checks, which cuts down on heavy lifting for data engineers. Scalable Real-Time Processing: It excels at managing high-volume data streams, complex transformations, and micro-batch or real-time event processing without breaking a sweat. **What do you dislike about Informatica Data Integration and Engineering?** While it is a powerhouse for enterprise-scale operations, several friction points frequently challenge engineering teams working with Informatica Data Integration and Engineering: High Cost and Licensing Complexity: Informatica sits at the premium end of the market. The licensing model—often tied to consumption, data volume, or specific connector packs—can make budgeting difficult and scaling unexpectedly expensive. Steep Learning Curve and UI Overhead: The migration toward web-based interfaces in the Intelligent Data Management Cloud (IDMC) has improved accessibility, but navigating the ecosystem, securing runtime environments, and mastering advanced configurations still require specialized training. Resource-Intensive Runtime Management: Setting up and tuning Secure Agent groups, managing on-premises versus cloud execution paths, and handling memory allocation for massive batch jobs can be finicky and demand dedicated infrastructure oversight. Debugging and Log Granularity: When complex pipelines fail deep within nested transformations or third-party API calls, tracing the exact root cause can sometimes require sorting through dense, fragmented log files rather than getting an immediate, precise error pointer. Vendor Lock-In and Migration Friction: Moving away from Informatica's proprietary mapping formats and metadata repositories to an open-source or native cloud alternative is rarely straightforward if you need to port complex logic. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering addresses the core friction points of enterprise data management by unifying siloed systems, automating tedious pipelining, and bringing order to massive volumes of disparate data. Core Problems Being Solved Data Silos and Fragmentation: It eliminates the barriers between legacy on-premises databases, modern cloud data warehouses (like Snowflake or BigQuery), and third-party SaaS applications by centralizing ingestion and movement. Engineering Bottlenecks: It removes the need to hand-code every single ETL/ELT process from scratch, turning complex data wrangling into manageable, visual components. Data Quality and Trust Deficits: It tackles dirty, inconsistent, or poorly mapped data head-on by embedding automated data validation, profiling, and metadata discovery directly into the pipelines. Scale and Performance Friction: It handles high-throughput, real-time data streaming alongside massive nightly batch loads without choking pipeline performance or crashing under unexpected volume spikes. Operational Benefits Accelerated Time-to-Insight: By cutting down the boilerplate work required to spin up new pipelines or integrate newly acquired SaaS tools, data gets into the hands of analysts and operational systems much faster. Higher Reliability and Less Maintenance: Built-in error handling, automated schema drift management, and AI-assisted mapping mean fewer broken pipelines at 3:00 AM and significantly less time spent on routine troubleshooting. Unified Governance and Visibility: Having a centralized metadata framework makes tracking lineage, understanding dependencies, and auditing data flows across complex hybrid architectures infinitely easier. ### 13. Enterprise-grade data pipeline powerhouse, but heavy and expensive **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 13, 2026 **What do you like best about Informatica Data Integration and Engineering?** Informatica's ability to handle massive, complex data transformations at enterprise scale is incredibly reliable. I really appreciate the depth of the out-of-the-box connectors, which seamlessly bridge the gap between legacy on-prem databases and modern cloud data warehouses like AWS and Snowflake. The Pushdown Optimization (ELT) feature is a massive advantage for performance, allowing us to leverage cloud compute resources to process data rather than bottlenecking at the integration server. It also enforces a strict level of data governance and quality rules that custom Python or shell scripts simply can't match. **What do you dislike about Informatica Data Integration and Engineering?** The platform is notoriously expensive, and the licensing model can be complicated to navigate as your data volumes and connector needs grow. Administratively, deploying and maintaining the Secure Agents across different VPCs, firewalls, and on-prem servers adds a significant layer of infrastructure overhead. Furthermore, while the cloud interface (IICS) is a big step up from the old PowerCenter days, the mapping designer can still feel a bit clunky, and the learning curve for new data engineers is quite steep compared to some of the newer, lighter ETL tools on the market. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** We were previously struggling with a web of brittle, hard-coded ETL scripts that were difficult to maintain and prone to silent failures during overnight batch runs. Informatica solves this by giving us a centralized, visually orchestrated platform to manage and monitor complex data pipelines across entirely different enterprise ecosystems. The main benefit has been operational stability and transparency. When a pipeline fails, we have immediate tracing and error logging, and we can enforce strict data cleansing rules before bad records ever make it into our downstream cloud data lakes and reporting layers. ### 14. Enterprise-Grade Connectivity and Visual Mapping That Speeds Up Development **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like best is its wide connectivity and visual mapping designer. It connects to almost any source, from on-premises databases to cloud services, with little custom code. Reusable components speed up development, and pushdown optimization handles large data volumes efficiently. It's a reliable, enterprise-grade platform. **What do you dislike about Informatica Data Integration and Engineering?** The licensing cost is high, which makes it hard to justify for smaller projects. The learning curve is also steep, so new team members need time to become productive. Upgrades and environment setup can be complex, and the transition from PowerCenter to the cloud version requires significant effort. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It solves the problem of data being scattered across many siloed systems. We use it to integrate data from core business systems and cloud services into a central data warehouse. This has reduced manual data preparation, improved data quality and consistency, and given business users faster access to reliable data for reporting and decision-making. ### 15. Reliable at Scale for Massive Records and Data **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 10, 2026 **What do you like best about Informatica Data Integration and Engineering?** The visual designer makes it really easy to trace complex data flows, lookups, and joins without getting lost in pages of raw SQL. Once I set up the mappings and workflows, everything runs rock-solid even with huge batches of student records. On top of that, the workflow monitor provides detailed error logs, so when a pipeline fails I can usually pinpoint the bad record or a broken link pretty quickly. **What do you dislike about Informatica Data Integration and Engineering?** The UI feels pretty old-school and clunky, so if you’re new to the tool it can take a while to get the hang of it. Digging through huge session logs to track down a single syntax error or data type mismatch can also be a real headache. On top of that, deploying changes between dev and prod environments felt somewhat rigid and slow, especially compared to newer tools. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** We had student, HR, and legacy campus data spread across different databases and PeopleSoft, so we used Informatica to bring everything together in our data warehouse instead of writing a ton of messy custom SQL scripts. It helped us automate overnight batch runs and clean up mismatched records across campuses, which saved me a lot of time debugging failed pipelines because the Workflow Monitor logs make it pretty easy to see where bad rows or dropped connections occurred. Overall, it’s made pulling reports and feeding downstream dashboards much more reliable, without jobs crashing unexpectedly. ### 16. Broad Connectivity and Strong Data Governance for Scalable Pipelines **Rating:** 5.0/5.0 stars **Reviewed by:** Chandan M. | Software Engineer, Program Development, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** Broad connectivity — pre-built connectors for a huge range of databases, cloud apps, and file formats • Scalability — handles large, complex data pipelines well, especially with cloud-native (IICS) deployments • Metadata management & lineage — strong data governance/cataloging features **What do you dislike about Informatica Data Integration and Engineering?** Cost — licensing is expensive, especially for smaller teams or as usage scales • Steep learning curve — powerful but complex; new users often need significant training • Performance with very large/complex jobs — some users report slowdowns or resource-heavy processing at scale • UI/UX quirks — parts of the interface (especially older on-prem tools) feel dated or clunky compared to newer cloud-native competitors **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Finance Management is handled through Informatica. ### 17. Informatica is user to solve Complex Data Integration with Reliable Performance **Rating:** 4.0/5.0 stars **Reviewed by:** Pataparla D. | Salesforce Developer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** Informatica makes it easier to integrate data from multiple systems and manage complex data workflows. I like its strong connectivity, data transformation capabilities, and ability to handle large volumes of data reliably. **What do you dislike about Informatica Data Integration and Engineering?** The initial setup and configuration can be complex, especially for new users. Some workflows require a learning curve, and troubleshooting integration issues could be more intuitive with clearer error messages and documentation. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica helps us integrate data from multiple systems and automate ETL processes efficiently. It reduces manual data movement, improves data consistency and quality, and makes large-scale data processing more reliable. This saves development time and helps ensure accurate data is available across our business systems. ### 18. Solid Tool for Data Cleaning and Integration **Rating:** 5.0/5.0 stars **Reviewed by:** atul k. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** I really like the pace of use with Informatica Data Integration and Engineering. The field mapping feature is great, allowing me to map fields from source data to the destination easily. I especially like the ability to map Salesforce's auto-generated role IDs to other databases using foreign keys. **What do you dislike about Informatica Data Integration and Engineering?** In the complex structures and the manual effort required, there are some obvious errors that may occur. Although these can be resolved after a few iterations, it can be a bit of a hassle initially. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** I use Informatica Data Integration and Engineering for data cleaning before pushing it into Salesforce, solving issues like data duplication and incomplete data. ### 19. Powerful, Scalable Data Integration with Reliable ETL and Data Quality **Rating:** 5.0/5.0 stars **Reviewed by:** Rajib D. | Manager - Marketing Automation & Campaign Solutions, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like best is its strong data integration capability across multiple systems, along with reliable ETL processing, data quality features, and scalability for handling complex enterprise data workflows. **What do you dislike about Informatica Data Integration and Engineering?** The platform can be complex to configure and maintain, especially for large data workflows. Troubleshooting can also take time, and the learning curve is relatively steep for new users. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica helps connect data from multiple systems, automate ETL workflows, and improve data quality. This reduces manual effort, improves data consistency, and makes reliable data available faster for reporting and downstream applications. ### 20. Robust Data Integration with Steep Setup **Rating:** 4.0/5.0 stars **Reviewed by:** Nihal R. | Product Management Intern, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** May 16, 2026 **What do you like best about Informatica Data Integration and Engineering?** I appreciate Informatica PowerCenter as it's been the backbone of all my data integration work. The mapping designer with its visual drag-and-drop interface makes it much easier to build data transformation logic and understand each step, especially when revisiting old mappings. The workflow manager offers good control over scheduling and error handling when dealing with complex and large data volumes. The built-in connectors, error handling, and logging also stand out to me. I find the reusable transformation sessions on the workflow and metadata manager quite reliable and flexible. Even though it's not flashy, it's solid and dependable. **What do you dislike about Informatica Data Integration and Engineering?** Informatica PowerCenter is powerful, but it has some really rough edges. The cost is hard to justify, especially since licensing is expensive for a large enterprise. Sometimes I wonder if I'm paying too much for it, especially when simpler tools could handle the same job. Also, newcomers face a steep learning curve, and debugging is painful there. The cloud support feels like a nightmare, almost an afterthought. Additionally, performance tuning requires specific knowledge. If I could improve one thing, it would be the debugging experience. Setting up Informatica PowerCenter initially was a hassle; the installation is complex and requires significant infrastructure setup. Licensing configuration was a headache too. We relied heavily on Informatica's documentation and had consultants help us for the first couple of weeks, which saved us a lot of time and frustration. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica PowerCenter solves data silos for me by centralizing data from multiple systems like ERP, CRM, and flat files. It saves time in data cleaning and transformation, allows reusable mappings, and scales well with expanding data volumes, giving me peace of mind. ### 21. Clean, Transform, and Unify Data from Legacy Sources in One Place **Rating:** 5.0/5.0 stars **Reviewed by:** Teng V. | IT Application Specialist II - Salesforce Administrator, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 13, 2026 **What do you like best about Informatica Data Integration and Engineering?** I like that we are able to clean and transform data all our data in one place. We have multiple data source from legacy systems and this allows us to clean the data and unify the data then we are able to easily access it from data 360 **What do you dislike about Informatica Data Integration and Engineering?** Debugging can be hard and from experience getting support from informatica is inconsistent. With support being good sometimes and bad other times **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Unifying our data into one place. Where we can transform it and route it elsewhere for our business users ### 22. Making data decisions **Rating:** 4.5/5.0 stars **Reviewed by:** Fernando J. | Analista técnico, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** The platform handles large data volumes efficiently with reliable scheduling, making complex ETL workflows stable and efficient. Users appreciate its ability to manage intricate data processes spanning multiple systems. **What do you dislike about Informatica Data Integration and Engineering?** A recurring frustration is the difficulty of debugging. Error messages and log files often lack detail, making it time-consuming to fix problems, especially when working across many components at once. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Built-in data quality and governance tools automate validation. A professional services firm improved entity matching accuracy by 60%, reducing fines associated with audited entities. ### 23. Essential Tool for Business Data Unification **Rating:** 4.5/5.0 stars **Reviewed by:** Sebastián T. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from Spanish; Castilian using AI. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** I like the ease with which connectors can be used in Informatica Data Integration and Engineering. It makes it much easier for the company to connect to the systems it already uses, allowing our tech stack to stay updated and everything to be connected thanks to these functionalities. **What do you dislike about Informatica Data Integration and Engineering?** I like everything **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** I use Informatica Data Integration and Engineering to unify our data, solve consumption issues, and reduce latency across different sources. It facilitates the connection process, preventing our tech stack from becoming obsolete. ### 24. Broad Connectors, Scalable ETL/ELT, and Cloud-Native CDC with IICS **Rating:** 5.0/5.0 stars **Reviewed by:** madiha r. | Test, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** about it (from publicly available info — e.g., its broad connector library, scalability for large ETL/ELT workloads, metadata-driven approach, CDC capabilities, cloud-native architecture via IICS) **What do you dislike about Informatica Data Integration and Engineering?** about it (from publicly available info — e.g., its broad connector library, scalability for large ETL/ELT workloads, metadata-driven approach, CDC capabilities, cloud-native architecture via IICS) **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** about it (from publicly available info — e.g., its broad connector library, scalability for large ETL/ELT workloads, metadata-driven approach, CDC capabilities, cloud-native architecture via IICS) ### 25. Effortless Integration, High Recommendation **Rating:** 5.0/5.0 stars **Reviewed by:** Gayatri D. | Sr Integration Developer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** I find it easy to integrate Informatica Data Integration and Engineering with Salesforce, which is a big plus for me. The software makes integration a smooth process, and I also appreciate how it simplifies building processes, especially with the mapping functionality. Additionally, the setup was very easy, which made getting started a breeze. **What do you dislike about Informatica Data Integration and Engineering?** No **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering makes it easy to integrate with Salesforce, facilitating simple mappings and easy building processes. ### 26. Powerful Data Pipelines Made Easy with Informatica Data Integration and Engineering **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 09, 2026 **What do you like best about Informatica Data Integration and Engineering?** I like how Informatica Data Integration and Engineering makes it easier to connect, integrate, and manage data from multiple sources. It provides powerful capabilities for building reliable data pipelines and helps organizations make their data more accessible and useful. **What do you dislike about Informatica Data Integration and Engineering?** The platform can be complex to configure and manage, especially for new users or when working with advanced integrations. The wide range of features can also require time and training to use effectively. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering helps solve the challenge of integrating data across different systems and environments. It helps create consistent and reliable data pipelines, reduces manual work, and makes trusted data more readily available for analytics and business decision-making. ### 27. Informatica Makes Data Integration and Quality Management Effortless **Rating:** 5.0/5.0 stars **Reviewed by:** Deepak R. | Technical Lead,Software Engineering, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** I like how Informatica simplifies data integration across different systems, improves data quality, and makes it easier to manage and move data efficiently. **What do you dislike about Informatica Data Integration and Engineering?** The platform can be complex to configure and manage, and troubleshooting data integration issues can sometimes take time. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It helps integrate data across different systems, improve data quality, and automate data workflows. This reduces manual effort, improves data consistency, and makes reliable data available faster for business needs. ### 28. Scalable Performance That Streamlines Analytics **Rating:** 0.0/5.0 stars **Reviewed by:** Shobhit M. | Application Engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Source: Organic Review from User Profile:** Invitation from G2. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** August 19, 2026 **What do you like best about Informatica Data Integration and Engineering?** nananananananananananananananananananana **What do you dislike about Informatica Data Integration and Engineering?** It requires substantial resources to run optimally, especially when handling large workloads. On top of that, licensing fees, ongoing maintenance, and infrastructure needs can make it increasingly expensive as projects evolve. The UI could also be more intuitive and easier to navigate. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It connects on-premises systems to data warehouses without disrupting existing data flows. It also automatically detects changes in data structures and cleans up corrupted or messy records before analysis. Overall, this boosts productivity and helps deliver a faster time-to-market. ### 29. Powerful Reusable Integrations, but Complex to Configure and Troubleshoot **Rating:** 3.5/5.0 stars **Reviewed by:** Shalini t. | Product manager, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** Its reusable mappings and workflows, extensive connector ecosystem, and centralized management capabilities make it easier to build and maintain integrations with consistency across projects. **What do you dislike about Informatica Data Integration and Engineering?** I dislike about Informatica Data Integration and Engineering is that it can be complex to configure, administer, and troubleshoot, especially in large enterprise environments. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering helps solve the challenge of moving, transforming, and synchronizing data across multiple enterprise systems ### 30. Strong Data Integration, but a Steep Learning Curve for New Users **Rating:** 2.5/5.0 stars **Reviewed by:** jiro n. | unit director, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** I like Informatica’s strong data integration capabilities and its ability to connect data across different systems. It makes complex data environments much easier to manage. **What do you dislike about Informatica Data Integration and Engineering?** The learning curve can be a little steep, and some features can feel complex for new users. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** The platform is powerful, but it can be complex and requires a relatively high level of expertise to design and maintain data integration workflows. ### 31. Simplifies Data Integration, but Configuration Takes Time to Master **Rating:** 3.5/5.0 stars **Reviewed by:** Ruchika J. | Workforce Development, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 16, 2026 **What do you like best about Informatica Data Integration and Engineering?** I like how it simplifies data integration across multiple systems, improves data quality, and enables reliable access to trusted data for analytics and decision-making. **What do you dislike about Informatica Data Integration and Engineering?** The platform can be complex to configure and manage, with a learning curve for advanced integrations and data workflows. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It connects data across systems, improves data quality, and streamlines data workflows, helping teams access trusted data faster and make better decisions. ### 32. Fast Data Analysis That Keeps Our Team Future-Ready **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** It helps me quickly, analyse data and make sure that we are optimised for the future **What do you dislike about Informatica Data Integration and Engineering?** Nothing, I think it’s a very well product and honestly our whole team loves it **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It helps us analyse, huge amounts of data and transactions while making sure that we are getting clean data in and not obsessively spending time hyper analysing data that is not accurate ### 33. Reliable and Flexible Data Integration Platform **Rating:** 3.0/5.0 stars **Reviewed by:** Rodolfo V. | Arquitecto de solución, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** The best information data I like to transform the data for the requirements **What do you dislike about Informatica Data Integration and Engineering?** The learning curve can be challenging, and some configurations feel more complex than necessary. I think a simpler user experience and clearer documentation would make the platform easier to adopt and use efficiently. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It helps integrate data from different systems, improving data quality and reducing manual work. ### 34. Exceptionally Powerful, Enterprise-Grade Scalability with a No-Code Visual Interface **Rating:** 4.5/5.0 stars **Reviewed by:** Diogo T. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** It’s exceptionally powerful, offering enterprise-grade scalability combined with a no-code visual interface. **What do you dislike about Informatica Data Integration and Engineering?** The worst thing about Informatica Data Integration and Engineering is the prohibitive enterprise pricing, along with an incredibly steep learning curve and a heavy platform footprint. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** In massive enterprise environments, we deal with data fragmentation, poor data quality, and brittle pipelines that are difficult to maintain. ### 35. Informatica Makes Data Integration and Automation Easy **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I like most is that Informatica makes it easier to integrate, manage, and move data across different systems. It helps automate data workflows and saves time on manual tasks. **What do you dislike about Informatica Data Integration and Engineering?** What I dislike most is that Informatica can be complex to set up and use, especially when working with more advanced integrations. It can also take some time to learn and troubleshoot. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica helps solve the challenge of moving and integrating data across different systems. It reduces manual work, improves data consistency, and makes it easier to access reliable data when needed. ### 36. Powerful, Reliable ETL at Scale. But the UI and Costs Feel Behind **Rating:** 3.5/5.0 stars **Reviewed by:** Pablo C. | Salesforce and Marketing Cloud Administrator and Proxy Product Owner - Fashionphile, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 11, 2026 **What do you like best about Informatica Data Integration and Engineering?** Strong support for complex ETL/ELT workflows across diverse data sources, it handles large-scale transformations reliably at enterprise volume. **What do you dislike about Informatica Data Integration and Engineering?** The interface feels dated compared to newer tools, and licensing costs plus infrastructure overhead can be significant for smaller teams. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Consolidates and transforms data from multiple enterprise sources reliably, giving us trustworthy pipelines for reporting and downstream analytics. ### 37. Reliable Cloud ETL for Scalable Data Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Akshat G. | Programmer Analyst, Information Technology and Services, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** December 17, 2025 **What do you like best about Informatica Data Integration and Engineering?** Informatica Cloud Data Integration provides robust connectivity to a variety of data sources and cloud platforms. I appreciate its extensive selection of connectors and built-in transformations, which are particularly helpful for regular ETL tasks which are used by me on daily basis. After configuring the pipelines, data transfers are both dependable and scalable, and the integration with cloud data warehouses such as Snowflake works seamlessly. **What do you dislike about Informatica Data Integration and Engineering?** The initial setup and configuration process can be quite complex, particularly for those who are new to the platform. Monitoring and debugging jobs often require additional effort, and optimizing performance is not always a simple task. The user interface could be more intuitive, and the response times from support may vary depending on the nature of the issue. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Cloud Data Integration helps us move and transform data reliably across multiple systems and cloud platforms. It reduces manual effort in building and maintaining ETL pipelines, ensures consistent data delivery, and supports scheduled data loads. This improves data availability for analytics and allows teams to focus more on insights rather than data movement. ### 38. Strong Connectivity and Flexible Enterprise-Scale Data Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 12, 2026 **What do you like best about Informatica Data Integration and Engineering?** Informatica provides strong connectivity and flexible data integration capabilities. It handles complex data flows reliably and supports enterprise-scale data management across multiple systems. **What do you dislike about Informatica Data Integration and Engineering?** The platform has a significant learning curve, and the initial setup and configuration can require specialized expertise. Licensing and overall costs can also be difficult to estimate. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica helps connect data from different source systems, transform it into consistent formats, and reliably deliver it to downstream platforms. This reduces manual data preparation, improves data quality, and gives teams more dependable information for reporting and business decisions. ### 39. Powerful, Scalable Data Integration with Intuitive Workflows **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 16, 2026 **What do you like best about Informatica Data Integration and Engineering?** Powerful and scalable data integration platform with strong connectivity, intuitive workflow design, and reliable performance **What do you dislike about Informatica Data Integration and Engineering?** The learning curve can be steep for new users, and some advanced configurations require additional expertise **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It simplifies data integration across multiple systems, reducing manual work and improving data quality, consistency, and accessibility ### 40. Makes ETL Work Easy and Accessible for Every Developer **Rating:** 4.5/5.0 stars **Reviewed by:** Chris B. | Delivery Manager, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** The ease of using the tool makes etl work accessible to all developers **What do you dislike about Informatica Data Integration and Engineering?** You can build maps that are large and hard to see the whole flow on the screen **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It is solving the problem of getting data from dispersed systems to have a single view ### 41. Brings All Data Together with Strong Governance and Guidelines **Rating:** 5.0/5.0 stars **Reviewed by:** sumanth a. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a review partner **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** The ability to bring all the data together and provide data guidelines and governance in addition to powerful transformations in real-time **What do you dislike about Informatica Data Integration and Engineering?** Some of the traditional limitations of performance overhead and steep learning curve makes it difficult to adapt! **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Transform the data that is not structured ### 42. Intuitive to Start, but Gets Costly and Needs Expert Know-How at Scale **Rating:** 3.5/5.0 stars **Reviewed by:** Sanjay P. | Salesforce Developer, Computer Software, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** It is intuitive and easy to get started. **What do you dislike about Informatica Data Integration and Engineering?** It becomes expensive as you scale and there is a need to get people who know it very well. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It solves for bad data issues that occurs due to data silos that happen at companies. ### 43. Turns Fragmented Data into Trusted, Governed, AI-Ready Data **Rating:** 5.0/5.0 stars **Reviewed by:** Ankur V. | Director of Product Management, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** Data engineering allows me to manage fragmented data and turn it into trusted, governed, AI-ready data. **What do you dislike about Informatica Data Integration and Engineering?** Mapping and design are complex, and there are only a few options for headless integration. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It allows me to move fragmented data into trusted, governed, AI-ready data. ### 44. ETL That Easily Handles Batch Loads and Millions of Records **Rating:** 5.0/5.0 stars **Reviewed by:** Greeshma Chandu K. | Solutions Architect, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** The ETL is very helpful for loading the batch and millions of records **What do you dislike about Informatica Data Integration and Engineering?** The cloud interface which sometimes gets the schedule if any fails it will not continue for next schedule **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** The batch jobs which loads millions of records with less time ### 45. Effective Data Integration with Easy Setup **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** I find Informatica Data Integration and Engineering easy to use, particularly appreciating its straightforward setup. It's simple to understand and learn, and the ease with which I can perform tasks with just a few clicks and without much coding really stands out. Overall, I just like everything about it. **What do you dislike about Informatica Data Integration and Engineering?** NA **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering helps us integrate, clean, and load customer data from multiple systems into Salesforce, ensuring Marketing Cloud receives accurate and consistent campaign-ready data. ### 46. Simplifies Data Integration, Engineering, and Automation **Rating:** 5.0/5.0 stars **Reviewed by:** Reshma M. | Product Owner, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** Simplifies data integration, engineering, and automation **What do you dislike about Informatica Data Integration and Engineering?** Can be complex to set up and manage. configuration can be simplified **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It simplifies connecting and moving data across systems, reducing manual effort and helping us get reliable data faster for business decisions. ### 47. Wonderful for Transforming Data and Meeting Marketing Needs **Rating:** 4.5/5.0 stars **Reviewed by:** Tariq A. | Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** It has been wonderful to use the informatica and trandrom the data **What do you dislike about Informatica Data Integration and Engineering?** I don't have any major dislikes; the platform meets my marketing needs effectively. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** I don't have any major dislikes; the platform meets my marketing needs effectively. ### 48. Powerful, Scalable Data Integration with Intuitive Tools **Rating:** 5.0/5.0 stars **Reviewed by:** Arms F. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2026 **What do you like best about Informatica Data Integration and Engineering?** Powerful and scalable data integration, with intuitive tools and consistently reliable data quality. **What do you dislike about Informatica Data Integration and Engineering?** There’s nothing I particularly dislike. Overall, I like most of it. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It simplifies complex data integration, improves data quality, and helps save development time. ### 49. Centralize your data in one place **Rating:** 5.0/5.0 stars **Reviewed by:** Lilas L. | Technical Lead, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from French using AI. **Reviewed Date:** September 14, 2026 **What do you like best about Informatica Data Integration and Engineering?** What I love about Informatica Data Integration and Engineering is that everything is centralized in one place. **What do you dislike about Informatica Data Integration and Engineering?** The interface maybe. **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** Informatica Data Integration and Engineering could solve data integration issues and centralize everything in one place. ### 50. Excels in Data Integration for More Efficient Workflows **Rating:** 5.0/5.0 stars **Reviewed by:** monisha m. | Developer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 16, 2026 **What do you like best about Informatica Data Integration and Engineering?** It excels in data integration and allows us to work with data sets more efficiently **What do you dislike about Informatica Data Integration and Engineering?** It may not use all the integrations our internal team uses **What problems is Informatica Data Integration and Engineering solving and how is that benefiting you?** It allows us to work with data sets ## Informatica Data Integration and Engineering Discussions - [What is Informatica PowerCenter used for?](https://www.g2.com/discussions/informatica-powercenter-what-is-informatica-powercenter-used-for) - 1 comment - [Is Informatica available on cloud?](https://www.g2.com/discussions/is-informatica-available-on-cloud) - 1 comment - [View Informatica Data Integration and Engineering pricing details and edition comparison](https://www.g2.com/products/informatica-data-integration-and-engineering/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-29+01%3A13%3A37+-0500&secure%5Bsession_id%5D=400d9684-229c-44e8-b0f9-4604f071a51e&secure%5Btoken%5D=745a76c3c552ee974dec4d43292633d5e1732e0ad141d8f576acf8bf55c72e90&format=llm_user) ## Informatica Data Integration and Engineering Features **Administration** - Database Management - Access Control - Data Security - Remote Access/Control - Version Control - Remote Monitoring & Management - Capacity Management - Configuration Management - File Management - Compliance Management - Service Level Agreement (SLA) Management - Namespace Management - Access Controls/Permissions **Data** - Data Processing - Data Sources - Integration - Real-Time Processing **Management** - Reporting - Auditing **Functionality** - Data visualisation - Data transformation - Data migration - Process various formats - No-code functionality - Data manipulation - Analytics - Reporting **Data Management** - Data Integration - Data Discovery - Multi - Platform - Metadata **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Automation** - Workflow Automation - Multi-platform support - Data Management - Data Simplicity **Data Management ** - Data Modeling - Auditing - Observability - Data mapping - Reporting **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Federation** - Architecture - Provisioning - Orchestration - API / Integrations - Virtual Machine Provisioning - API - Third-Party Integrations **Analytics** - Reporting & Analytics **Functionality** - Extraction - Transformation - Loading - Automation - Scalability - Non-Relational Transformations - Data Extraction **Analytics** - Data Analytics **Analytics** - Analytics capabilities - Dasboard visualizations **Functionality** - Documentation management - Platform support - Template functionality **Functionality** - Debugging - Workflow Automations - Notifications - API Integrations - Programmed trigger of data sync - Incremental data sync - Data audit **Additional Functionality** - Data Mapping - Monitoring - Charting - Integration Management - Reporting/Analytics - Ad hoc Analysis - Access Controls/Permissions - API - Match & Merge - Real-Time Monitoring - Metadata Management - Pipeline Management - Job Scheduling - Dashboard Creation - Data Storage Management - Multiple Data Sources - Data Import/Export - Generative AI - Data Quality Control - Data Connectors - Customizable Reports - Single Sign On - Version Control - Visual Analytics - Accounting Integration - Real-Time Data - eCommerce Management - AI Copilot - CRM - Data Visualization - SSL Security - Search/Filter - Real-Time Analytics - Data Capture and Transfer - Collaboration Tools - Performance Management - Data Synchronization - Drag & Drop - Data Replication - Activity Dashboard - Database Support - Workflow Management - Alerts/Notifications - Predictive Analytics - Data Migration - Third-Party Integrations - Reporting & Statistics - Data Analysis Tools **Transformation** - Data Visualization - Application Performance - Data Modeling **Security** - Compliance - Governance - Data Protection **Monitoring and Management** - Data Observability - Testing capabilities **Administration** - Error Alerts - Service Automation - Workflow management **Security** - Security Compliance - Data Encryption **Additional Functionality** - Real-Time Reporting - Real-Time Monitoring - Two-Factor Authentication - Virtual Machine Encryption - Backup and Recovery - File Transfer - Server Monitoring - Secure Data Storage - AI Copilot - Data Migration - Virtual Machine Monitoring - Load Balancing - Remote Update/Installation - Archiving & Retention - Visual Analytics - Virtual Machine Snapshots - Role-Based Permissions - HIPAA Compliant - Performance Monitoring - Activity Dashboard - Desktop/Application Virtualization - Event Logs - Single Sign On - Generative AI - Disaster Recovery - Alerts/Escalation - Automatic Backup - Reporting/Analytics **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation **Agentic AI - Data Warehouse Automation** - Proactive Assistance **Additional Functionality** - Parallel Processing - Ad hoc Analysis - Multiple Data Sources - API - In-Database Processing - Monitoring - Real-Time Reporting - Data Synchronization - Real-Time Monitoring - Data Connectors - Performance Metrics - Ad hoc Reporting - Alerts/Notifications - Access Controls/Permissions - Drag & Drop - Data Visualization - Data Import/Export - Match & Merge - Data Transformation - Secure Data Storage - Data Extraction - AI Copilot - Customizable Reports - Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Fabric** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management ## Top Informatica Data Integration and Engineering Alternatives - [dbt](https://www.g2.com/products/dbt/reviews) - 4.7/5.0 (208 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - 4.3/5.0 (824 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,340 reviews)