# Informatica Data Engineering Reviews **Vendor:** Informatica **Category:** [ETL Tools](https://www.g2.com/categories/etl-tools) **Average Rating:** 4.4/5.0 **Total Reviews:** 27 ## About Informatica Data Engineering Informatica Data Engineering is a comprehensive suite of tools designed to empower data engineers in delivering clean, reliable, and accessible data for enterprise AI, machine learning, and analytics initiatives across hybrid and multi-cloud environments. By integrating seamlessly with platforms like Databricks, it facilitates efficient data discovery, ingestion, and processing at scale, leveraging serverless computing to optimize costs and performance. Key Features and Functionality: - Data Engineering Integration: Manages analytics and machine learning data pipelines with intelligent data ingestion and processing capabilities in hybrid, multi-cloud environments. - Data Engineering Streaming: Transforms high volumes of streaming and IoT data into contextualized insights, enabling real-time decision-making. - Data Engineering Quality: Ensures data governance across cloud and hybrid environments, maintaining data trustworthiness and relevance. - Data Engineering Masking: De-identifies sensitive data to minimize risk exposure in applications, business intelligence, AI, and analytics use cases. - Enterprise Data Catalog: Classifies and organizes data assets across various environments to ensure lineage and maximize data value and reuse. - Enterprise Data Preparation: Provides collaborative tools for data analysts and scientists to find, prepare, and ensure data quality for analysis and AI applications. - Mass Ingestion: Enables ingestion of data at scale from diverse sources, including streaming data, files, and databases, through an intuitive five-step wizard. Primary Value and User Solutions: Informatica Data Engineering addresses critical gaps in enterprise AI, machine learning, and analytics initiatives by providing a unified platform for end-to-end data management. It empowers data engineers to efficiently handle complex data workflows, ensuring that data scientists and analysts have access to high-quality, trusted data. This accelerates the development of AI models and analytics, leading to faster, more accurate business insights. The solution's scalability and integration capabilities support organizations in building resilient data architectures that drive informed decision-making and unlock the full potential of their data assets. ## Informatica Data Engineering Pros & Cons **What users like:** - Users value the **automation features** of Informatica Data Engineering, enhancing the efficiency and reliability of data workflows. (1 reviews) - Users value the **seamless cloud integration** of Informatica Data Engineering, enhancing efficiency in data workflows and processes. (1 reviews) - Users appreciate the **excellent connectivity** of Informatica Data Engineering, enabling effortless integration with various data sources. (1 reviews) - Users value the **seamless integration and usability** of Informatica Data Engineering, enhancing efficiency in data workflows. (1 reviews) - Users highlight the **drag-and-drop pipeline design** of Informatica Data Engineering, making ETL workflow creation effortless and efficient. (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Efficiency (1 reviews) - ETL Efficiency (1 reviews) - Features (1 reviews) **What users dislike:** - Users experience **performance issues** with Informatica Data Engineering, particularly with complex mappings and large data sets running slowly. (1 reviews) - Users experience **slow data loading** with Informatica Data Engineering when processing complex mappings and larger data sets. (1 reviews) - Users experience **slow processing** with complex mappings and larger data sets in Informatica Data Engineering. (1 reviews) ## Informatica Data Engineering Reviews ### 1. Seamless ETL and Big Data Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Srinivasreddy J. **Reviewed Date:** November 25, 2025 **What do you like best about Informatica Data Engineering?** I find Informatica Data Engineering incredibly valuable due to its seamless integration with big data and cloud systems, which makes my data workflows much more efficient. The drag-and-drop pipeline design is a standout feature, simplifying the process of designing ETL workflows by allowing me to connect almost any source or target effortlessly. I appreciate how the tool simplifies ingestion, transformation, and loading, streamlining my data processes. Moreover, the excellent connectivity capabilities ensure that I can work with a wide array of data sources without hassle. I am also impressed by its strong error handling, which provides reliability and robustness to data processing tasks. The platform is user-friendly, and I appreciate how straightforward the setup process was, thanks to the clear sequence of steps provided. These features collectively enhance the overall usability and effectiveness of Informatica Data Engineering in my data engineering tasks. **What do you dislike about Informatica Data Engineering?** I find that complex mappings and processing of larger data sets sometimes run slower than expected with Informatica Data Engineering. **What problems is Informatica Data Engineering solving and how is that benefiting you?** I use Informatica Data Engineering to connect to almost any source or target, design drag-and-drop pipelines, and simplify ETL processes with seamless big data and cloud integration, excellent connectivity, strong error handling, and user-friendliness. ### 2. Solution to most of your data needs **Rating:** 4.5/5.0 stars **Reviewed by:** Manas T. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 15, 2022 **What do you like best about Informatica Data Engineering?** The connectivity and compatibility Informatica provides with a diverse base of data sources. They keep up with the latest changes in data engineering and have been providing solutions to latest data problems. **What do you dislike about Informatica Data Engineering?** Their charging model is quite finance focussed. Even for migrating from its own older offering to the newer cloud platform, the costs are too high. There should be internal compatibility among the same league of products without any additional charges. **What problems is Informatica Data Engineering solving and how is that benefiting you?** Informatica has been a market leader for quite some time specially when it comes to ETL workload related performance. It can handle huge volume of data and provides high availability with adequate support available. ### 3. Great tool **Rating:** 4.0/5.0 stars **Reviewed by:** Billcates M. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 14, 2022 **What do you like best about Informatica Data Engineering?** Informatica Powercenter is one of the earliest tool which is used by most of the dataengineers for etl. Simple UI and Simple Drag and Drop makes it easier for use. **What do you dislike about Informatica Data Engineering?** It needs to update a lot ,as it is some earlier kind of tool.It doesn't have some functionalities which modern etl tools provide with their basic plan. But it can be used with python to make full use of it. **What problems is Informatica Data Engineering solving and how is that benefiting you?** It helps to migrate data in data warehouse systems such as it helps in transferring data from specific database to data warehouse which can be queried for analytical purpose. ### 4. Nice tool for ETL pipelines **Rating:** 4.5/5.0 stars **Reviewed by:** Abhilash c. | Big Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 15, 2022 **What do you like best about Informatica Data Engineering?** Best thing is the ease of using and the tools it provides for creating ETL pipelines in fast and effective manner, also the availability of cloud version is really a good part **What do you dislike about Informatica Data Engineering?** Support of all the kind of data files should be there, like Kafka topics or plugins for mainframe files so that the pipeline can expect all kinds of sources to pull data **What problems is Informatica Data Engineering solving and how is that benefiting you?** We used for solving the ETL requirements by creating interactive pipelines and scheduling or monitoring of pipelines through informatica monitor along with the workflow and workers creation for repeated uses ### 5. My Review of Informatica Data Engineering **Rating:** 5.0/5.0 stars **Reviewed by:** Amit J. | Sr Data Scientist Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** December 16, 2022 **What do you like best about Informatica Data Engineering?** It's well-designed and programmed and you get to extract a lot of data in a fraction of a second. The security is well too. Which is at par or equal to other competitors. **What do you dislike about Informatica Data Engineering?** I have faced several challenges in finding the right projects to work with. Workflows are extremely complicated. This could be better by implicating easier and minimal user interfaces. **What problems is Informatica Data Engineering solving and how is that benefiting you?** Its seamless integration with other Informatica tools makes it work well and manage large datasets which indeed makes you more productive and the performance is indeed increased in business. ### 6. Data Engineering with Informatica **Rating:** 5.0/5.0 stars **Reviewed by:** Abhranil C. | Associate Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** November 17, 2022 **What do you like best about Informatica Data Engineering?** The UI and the ease of seeing the mapping, logic, transformation, code, all other components of workflow. The user friendly UI provides user to backtrack issue very easily. **What do you dislike about Informatica Data Engineering?** Sometimes setting up the repository might take some time. And the SCD concept implementation can be more easy from the view of tester. **What problems is Informatica Data Engineering solving and how is that benefiting you?** It can handle large volume of data related transformation instead of writing long SQL, with the help of it's awesome transformation we can get our desired output. ### 7. A holistic tooset and development tool for building data engineering **Rating:** 4.5/5.0 stars **Reviewed by:** Raj Kumar N. | Sr. Development Manager - Advanced Analytics, Enterprise (> 1000 emp.) **Reviewed Date:** December 19, 2022 **What do you like best about Informatica Data Engineering?** A holistic tooset and development tool for building data engineering which caters most of the sources and targets and having complex transformation logic. **What do you dislike about Informatica Data Engineering?** Nothing as such, it caters most of the use cases. **What problems is Informatica Data Engineering solving and how is that benefiting you?** Building single source of truth out of all external and internal systems for focused enterprise visibility and reporting. ### 8. Amazing data engineering experience.. **Rating:** 4.0/5.0 stars **Reviewed by:** Kannan N. | Data Quality Analyst/ Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 19, 2022 **What do you like best about Informatica Data Engineering?** It's just user-friendly and lots of options to explore as data Engineer. **What do you dislike about Informatica Data Engineering?** I feel the UAI would be designed much better. Otherwise all are well and good with maximum options for developer, Engineer and Data Analyst. **What problems is Informatica Data Engineering solving and how is that benefiting you?** Data explore and connectivity ### 9. Helped me improve my experience **Rating:** 5.0/5.0 stars **Reviewed by:** Noor H. | Helpdesk engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** December 14, 2022 **What do you like best about Informatica Data Engineering?** 1.easy to use 2.easy to learn 3.everyone helped me to improve my experience 4.workflow and monitor is useful 5.the best software to help manage database 6.it worked in vmware **What do you dislike about Informatica Data Engineering?** Nothing till now, Everything is ok No **What problems is Informatica Data Engineering solving and how is that benefiting you?** Manage huge Workflow ### 10. Pretty helpful in creating automated data pipelines including CDC **Rating:** 5.0/5.0 stars **Reviewed by:** Saurabh S. | Product Manager, Enterprise (> 1000 emp.) **Reviewed Date:** December 15, 2022 **What do you like best about Informatica Data Engineering?** Scalable and able to handles huge data and high quality data **What do you dislike about Informatica Data Engineering?** Did not encounter as such as of now, will surely post in forum if any **What problems is Informatica Data Engineering solving and how is that benefiting you?** Cloud data integration with high performance ### 11. Great Data Engineering tool Informatica **Rating:** 5.0/5.0 stars **Reviewed by:** Chandan T. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 19, 2022 **What do you like best about Informatica Data Engineering?** Informatica is simple, fast, easy to learn integrate and get started. I have liked the inbuilt functions which made the job really easy and saved a lot of manual effort **What do you dislike about Informatica Data Engineering?** Nothing much to dislike, they take a bit longer to analyse and get a new functionality added. **What problems is Informatica Data Engineering solving and how is that benefiting you?** 1.Data Archiving 2.Data compression 3.Data Transformation 4.GDPR 5.Masking and data security ### 12. Informatica is good but low cost alternatives like Talen are available **Rating:** 4.0/5.0 stars **Reviewed by:** Mayank G. | DWH(ETL) BI Lead, Enterprise (> 1000 emp.) **Reviewed Date:** December 19, 2022 **What do you like best about Informatica Data Engineering?** best is it was a newcomer in capturing users and developers **What do you dislike about Informatica Data Engineering?** Itis a detail-oriented and cumbersome solution **What problems is Informatica Data Engineering solving and how is that benefiting you?** suite for monitoring and implementation in one umbrella ### 13. The Intelligent Informatica **Rating:** 5.0/5.0 stars **Reviewed by:** Rajkumar Shaukhlal G. | System Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 01, 2022 **What do you like best about Informatica Data Engineering?** It is one of the best best application for non coders. **What do you dislike about Informatica Data Engineering?** I don't think so anything is negative but there can be improvements in the speed of data handling. **What problems is Informatica Data Engineering solving and how is that benefiting you?** The teams is already working at its best to provide us the best solution on some problems we face. ### 14. implemented Data lake for a banking client **Rating:** 3.5/5.0 stars **Reviewed by:** Lalitha Y. | Senior Member Of Technical Staff , Small-Business (50 or fewer emp.) **Reviewed Date:** November 17, 2022 **What do you like best about Informatica Data Engineering?** It's one stop shop where data engineering all aspects can be covered and automation features **What do you dislike about Informatica Data Engineering?** Heavy load on hardware resources and it's object heavy environment **What problems is Informatica Data Engineering solving and how is that benefiting you?** Creating data pipelines and internet establishing data lake capabilities ### 15. Data Engineering Review **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** December 18, 2022 **What do you like best about Informatica Data Engineering?** Informatica is the number one ETL tool and ease of use and support **What do you dislike about Informatica Data Engineering?** Informatica has to publish books that they haven't **What problems is Informatica Data Engineering solving and how is that benefiting you?** Well, it solved data quality issue in BI and reports ### 16. Best ETL Tool in market **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** December 13, 2022 **What do you like best about Informatica Data Engineering?** UI, Reporting Features, Monitoring and Job Scheduler **What do you dislike about Informatica Data Engineering?** Not all transformations are available and sometimes frequent downtime **What problems is Informatica Data Engineering solving and how is that benefiting you?** Data Migration from Legacy to new Database ### 17. Informatica exp **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** December 16, 2022 **What do you like best about Informatica Data Engineering?** Logging and debugging . LOGS ARE RICH SIMPLE.MANY LOGS CAN BE STORED, **What do you dislike about Informatica Data Engineering?** Too many objects like mapping,session,workflow **What problems is Informatica Data Engineering solving and how is that benefiting you?** All kinds if integration ### 18. It's nice and knowledgeable to get insight of data like how the data flows. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.) **Reviewed Date:** December 17, 2022 **What do you like best about Informatica Data Engineering?** Get to know more about data processing.. **What do you dislike about Informatica Data Engineering?** Some time the workflows are complicated. **What problems is Informatica Data Engineering solving and how is that benefiting you?** Solving large amount of data management problem. ### 19. Best for Data Flows **Rating:** 4.0/5.0 stars **Reviewed by:** Manjunath V. | Asst Delivery Manager, Enterprise (> 1000 emp.) **Reviewed Date:** May 10, 2022 **What do you like best about Informatica Data Engineering?** Informatica data engineering populates multiple run time data flows based on the small set of design patterns by utilising ingestion and mapping templates. **What do you dislike about Informatica Data Engineering?** We have encountered time zone issues and Kanaka streaming issues which needs to be rectified as soon as possible **What problems is Informatica Data Engineering solving and how is that benefiting you?** We used this to parameterize data flows to Handel dynamic schemas. Used it for data integration processing ### 20. Informatica Data Engineering **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Business Supplies and Equipment | Small-Business (50 or fewer emp.) **Reviewed Date:** June 09, 2022 **What do you like best about Informatica Data Engineering?** Informatica Data Engineering will help to do any kind of transformation even if you dont have any idea on coding **What do you dislike about Informatica Data Engineering?** this will make you lazy, as it is ready to use tool **What problems is Informatica Data Engineering solving and how is that benefiting you?** complex ETL process was easier to solve complex business transformation ### 21. Great help for data migration **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** December 25, 2021 **What do you like best about Informatica Data Engineering?** Usability and compatibility with wide variety of data forms is an advantage of informatica. **What do you dislike about Informatica Data Engineering?** Only downside of Informatica is when working with XML files the options get limited. **What problems is Informatica Data Engineering solving and how is that benefiting you?** I am using Informatica for data migration efforts. Benefit to use with heterogeneous sources. ### 22. Good **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** November 01, 2021 **What do you like best about Informatica Data Engineering?** Best Etl tool available that helps to create the data pipeline easy and transform and load data effectively **What do you dislike about Informatica Data Engineering?** It's slow and sometimes having more clarity is needed **What problems is Informatica Data Engineering solving and how is that benefiting you?** Creating data pipeline for flowing data from multiple channels ### 23. Informatica effectively handles critical data feeds **Rating:** 5.0/5.0 stars **Reviewed by:** Bob H. | E, Mid-Market (51-1000 emp.) **Reviewed Date:** March 26, 2021 **What do you like best about Informatica Data Engineering?** Informatica is rich in features to support data feeds from our ERP to our Enrollment CRM. **What do you dislike about Informatica Data Engineering?** We have not hit any significant issues with this application. Any issues that have occurred have been quickly addressed by their support team. **What problems is Informatica Data Engineering solving and how is that benefiting you?** We needed a tool to do data mapping and transfer from our ERP to our Enrollment CRM. These are setup on a recurring basis and have been very dependable. ### 24. Please go for it **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** October 26, 2021 **What do you like best about Informatica Data Engineering?** I like how the platform accommodates large volumes of data **What do you dislike about Informatica Data Engineering?** I do not like its user interface and too much storage used **Recommendations to others considering Informatica Data Engineering:** Please go for it **What problems is Informatica Data Engineering solving and how is that benefiting you?** Using this to make use of data quality features ### 25. Informatica_Data **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** February 26, 2021 **What do you like best about Informatica Data Engineering?** Informatica data engineering is well designed and programmed where we can extract a lot of data in a fraction of seconds. It is secure as well. It is helpful to work with big files without using much space. It is best to manage large datasets.It is very good tool. One may require more time to understand. Any one can achieve any kind of data integration using this tool. **What do you dislike about Informatica Data Engineering?** Little difficult to do the debugging .It does not have the good community or forum to discuss our queries or to find the solutions. Anyhow one should have the good programming knowledge. **Recommendations to others considering Informatica Data Engineering:** It is really helpful when working with the large number of files.It is best to manage large datasets. It offers the unique data integration platform. It is secure and accurate data integration. It is more expensive than compared to the other software. It is great tool. Restart options , debugging, work-flow files is the best feature that is extremely useful. It does not have the good community or forum to discuss our queries or to find the solutions. **What problems is Informatica Data Engineering solving and how is that benefiting you?** Large number of data processing is very easy. Need to refresh the reports after the job has been completed. Checking of the data quality. Fixing all kind of data issues. ### 26. Informatica Data Engineering Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** October 11, 2021 **What do you like best about Informatica Data Engineering?** Fast Transmission speeds when compared to all other competing ETL's **What do you dislike about Informatica Data Engineering?** Sluggish and stuttering UI. Not as good as age-old PowerCenter version **What problems is Informatica Data Engineering solving and how is that benefiting you?** Data redundancy, duplication and inconsistent external ID or cross-reference data ### 27. A Good ETL tool **Rating:** 4.0/5.0 stars **Reviewed by:** Mayank M. | Data Analyst, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 14, 2019 **Describe the project or task Informatica Data Engineering helped with:** Informatica helps in extraction of huge data into the data warehouse **What do you like best about Informatica Data Engineering?** It is all GUI based and you don't need to face a black command prompt screen. **What do you dislike about Informatica Data Engineering?** Multiple apps and dependency on server is large. **What problems is Informatica Data Engineering solving and how is that benefiting you?** Informatica helps in performing transformations easily. ## Informatica Data Engineering Discussions - [What is Informatica Data preparation?](https://www.g2.com/discussions/what-is-informatica-data-preparation) - [What does Informatica software do?](https://www.g2.com/discussions/informatica-data-engineering-what-does-informatica-software-do) - [What does Informatica software do?](https://www.g2.com/discussions/what-does-informatica-software-do) - [What is Informatica Data Engineering?](https://www.g2.com/discussions/informatica-data-engineering-what-is-informatica-data-engineering) - [What is Informatica Data Engineering?](https://www.g2.com/discussions/what-is-informatica-data-engineering) - [View Informatica Data Engineering pricing details and edition comparison](https://www.g2.com/products/informatica-data-engineering/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-30+10%3A30%3A58+-0500&secure%5Bsession_id%5D=58c76a64-e1c2-4b27-8d23-805edaaf82e7&secure%5Btoken%5D=d8c17552e6e409fed5210acb4dc06fd52a984668567ac77dfc9e5d7ac9ba0c5f&format=llm_user) ## Informatica Data Engineering Features **Management** - Reporting - Auditing **Functionality** - Extraction - Transformation - Loading - Automation - Scalability ## Top Informatica Data Engineering Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (759 reviews) - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - 4.4/5.0 (371 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - 4.3/5.0 (777 reviews)