# Informatica Data Engineering vs Maia Comparison | | Informatica Data Engineering | Maia | |---|---|---| | **Star Rating** | 4.4 out of 5 | 4.5 out of 5 | | **Total Reviews** | 28 | 125 | | **Largest Market Segment** | Enterprise (55.6% of reviews) | Mid-Market (45.4% of reviews) | | **Entry Level Price** | No pricing available | Contact Us | --- ## Top Pros & Cons ### Informatica Data Engineering Pros: - Automation (1 reviews) - Cloud Integration (1 reviews) Cons: - Performance Issues (1 reviews) - Slow Data Loading (1 reviews) ### Maia Pros: - Ease of Use (10 reviews) - Automation (5 reviews) Cons: - Feature Limitations (9 reviews) - Expensive (4 reviews) --- ## Ratings Comparison | Rating | Informatica Data Engineering | Maia | |---|---|---| | **Meets Requirements** | 8.9 (6 reviews) | 8.7 (98 reviews) | | **Ease of Use** | 8.8 (7 reviews) | 9.0 (100 reviews) | | **Ease of Setup** | Not enough data | 8.4 (64 reviews) | | **Ease of Admin** | Not enough data | 8.3 (29 reviews) | | **Quality of Support** | 8.6 (6 reviews) | 8.6 (93 reviews) | | **Has the product been a good partner in doing business?** | Not enough data | 8.4 (29 reviews) | | **Product Direction (% positive)** | 7.7 (5 reviews) | 9.0 (93 reviews) | --- ## Pricing ### Informatica Data Engineering #### Entry-Level Pricing No pricing available #### Free Trial No information available ### Maia #### Entry-Level Pricing Plan: For Individuals Price: Contact Us Description: Developer. Start building pipelines with essential features – ideal for light workloads and early exploration. Key Features: - 1 developer user - Unlimited projects - Pre-built connectors [Browse all 3 editions](https://www.g2.com/products/matillion-maia/pricing) #### Free Trial Yes --- ## Features Comparison By Category ### ETL Tools | Product | Score | Reviews | |---|---|---| | **Informatica Data Engineering** | 8.4/10 | 5 | | **Maia** | 8.6/10 | 96 | #### Management | Feature | Informatica Data Engineering | Maia | |---|---|---| | **Reporting** | Not enough data | 7.9 (54 reviews) | | **Auditing** | Not enough data | 7.8 (56 reviews) | #### Functionality | Feature | Informatica Data Engineering | Maia | |---|---|---| | **Extraction** | 8.7 (5 reviews) | 8.9 (65 reviews) | | **Transformation** | Not enough data | 9.2 (65 reviews) | | **Loading** | 7.7 (5 reviews) | 9.1 (64 reviews) | | **Automation** | 8.7 (5 reviews) | 9.1 (75 reviews) | | **Scalability** | Not enough data | 8.6 (64 reviews) | --- ## Categories **Shared Categories (1):** [ETL Tools](https://www.g2.com/categories/etl-tools) **Unique to Informatica Data Engineering (1):** [On-Premise Data Integration Software](https://www.g2.com/categories/on-premise-data-integration) **Unique to Maia (1):** [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) --- ## Reviewer Demographics ### By Company Size | Segment | Informatica Data Engineering | Maia | |---|---|---| | **Small-Business** | 22.2% | 23.5% | | **Mid-Market** | 22.2% | 45.4% | | **Enterprise** | 55.6% | 31.1% | ### By Industry #### Informatica Data Engineering - **Information Technology and Services:** 14.8% - **Computer Software:** 14.8% - **Banking:** 7.4% - **Insurance:** 7.4% - **Health, Wellness and Fitness:** 7.4% - **Financial Services:** 7.4% - **Alternative Medicine:** 3.7% - **Automotive:** 3.7% - **Business Supplies and Equipment:** 3.7% - **Computer & Network Security:** 3.7% - **Other:** 25.9% #### Maia - **Information Technology and Services:** 16.1% - **Computer Software:** 13.4% - **Financial Services:** 5.4% - **Retail:** 5.4% - **Hospital & Health Care:** 5.4% - **Manufacturing:** 4.5% - **Insurance:** 4.5% - **Health, Wellness and Fitness:** 3.6% - **Biotechnology:** 2.7% - **Computer & Network Security:** 2.7% - **Other:** 36.6% --- ## Alternatives ### Alternatives to Informatica Data Engineering - [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (1335 reviews) - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) — 4.4/5 stars (398 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) — 4.3/5 stars (800 reviews) - [Workato](https://www.g2.com/products/workato/reviews) — 4.7/5 stars (777 reviews) - [Celigo](https://www.g2.com/products/celigo/reviews) — 4.6/5 stars (1051 reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) — 4.4/5 stars (2284 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (853 reviews) - [Supermetrics](https://www.g2.com/products/supermetrics/reviews) — 4.4/5 stars (823 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) — 4.5/5 stars (1226 reviews) - [Domo](https://www.g2.com/products/domo/reviews) — 4.3/5 stars (1013 reviews) ### Alternatives to Maia - [dbt](https://www.g2.com/products/dbt/reviews) — 4.7/5 stars (209 reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) — 4.3/5 stars (202 reviews) - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) — 4.6/5 stars (100 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) — 4.3/5 stars (800 reviews) - [Integrate.io](https://www.g2.com/products/integrate-io/reviews) — 4.3/5 stars (212 reviews) - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) — 4.4/5 stars (398 reviews) - [Hevo Data](https://www.g2.com/products/hevo-data/reviews) — 4.4/5 stars (283 reviews) - [Stitch](https://www.g2.com/products/stitch-2026-01-09/reviews) — 4.4/5 stars (68 reviews) - [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) — 4.2/5 stars (26 reviews) - [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) — 4.0/5 stars (117 reviews) --- ## Top Discussions ### Informatica Data Engineering No discussions available for this product. ### Maia - Title: [What is Matillion ETL used for?](https://www.g2.com/discussions/what-is-matillion-etl-used-for) — 1 comment *(includes official response)* > **Top comment:** "ETL is central to data engineering, but legacy tools keep teams tied to code. Matillion’s Data Productivity Cloud powers Maia, the first true agentic data..." --- **Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/informatica-data-engineering-vs-matillion-maia)