# Top 10 Informatica Data Engineering Alternatives & Competitors **Average Rating:** 4.4/5 **Total Number of Reviews:** 28 Explore the best alternatives to Informatica Data Engineering for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to Informatica Data Engineering include monitoring and availability. The best overall Informatica Data Engineering alternative is Databricks. Other similar apps like Informatica Data Engineering are SnapLogic Intelligent Integration Platform (IIP), Fivetran, Workato, and Celigo. Informatica Data Engineering alternatives can be found in [ETL Tools](https://www.g2.com/categories/etl-tools) but may also be in [iPaaS Software](https://www.g2.com/categories/ipaas) or [Analytics Platforms](https://www.g2.com/categories/analytics-platforms). ## Best Paid & Free Alternatives to Informatica Data Engineering - [Databricks](https://www.g2.com/products/databricks/reviews) - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - [Workato](https://www.g2.com/products/workato/reviews) - [Celigo](https://www.g2.com/products/celigo/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [Supermetrics](https://www.g2.com/products/supermetrics/reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Domo](https://www.g2.com/products/domo/reviews) ## Top 10 Alternatives to Informatica Data Engineering Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Informatica Data Engineering stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Health, Wellness and Fitness, and Computer Networking, and find the best product for your business. ### 1. [Databricks](https://www.g2.com/products/databricks/reviews) By Databricks Inc. **Average Rating:** 4.6/5 **Total Reviews:** 1,334 Making big data simple Reviewers say compared to Informatica Data Engineering, Databricks is: - Better at support - Better at meeting requirements Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools) **Compare:** [Informatica Data Engineering vs Databricks](https://www.g2.com/compare/databricks-vs-informatica-data-engineering) **Compare Databricks with other alternatives:** - [Databricks vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/databricks-vs-snaplogic-intelligent-integration-platform-iip) - [Databricks vs Fivetran](https://www.g2.com/compare/databricks-vs-fivetran) - [Databricks vs Workato](https://www.g2.com/compare/databricks-vs-workato) - [Databricks vs Celigo](https://www.g2.com/compare/celigo-vs-databricks) - [Databricks vs Microsoft SQL Server](https://www.g2.com/compare/databricks-vs-microsoft-sql-server) - [Databricks vs Supermetrics](https://www.g2.com/compare/databricks-vs-supermetrics) - [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks) - [Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery) - [Databricks vs Domo](https://www.g2.com/compare/databricks-vs-domo) ### 2. [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) By SnapLogic **Average Rating:** 4.4/5 **Total Reviews:** 398 SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrate faster and easier. Whether you are automating business processes, democratizing data, or delivering digital products and services, SnapLogic enables you to simplify your technology stack and take your enterprise further. Thousands of enterprises around the globe rely on SnapLogic to integrate, automate and orchestrate the flow of data across their business. Join the generative integration movement at snaplogic.com. Reviewers say compared to Informatica Data Engineering, SnapLogic Intelligent Integration Platform (IIP) is: - More usable Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools), [On-Premise Data Integration](https://www.g2.com/categories/on-premise-data-integration) **Compare:** [Informatica Data Engineering vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/informatica-data-engineering-vs-snaplogic-intelligent-integration-platform-iip) **Compare SnapLogic Intelligent Integration Platform (IIP) with other alternatives:** - [SnapLogic Intelligent Integration Platform (IIP) vs Databricks](https://www.g2.com/compare/databricks-vs-snaplogic-intelligent-integration-platform-iip) - [SnapLogic Intelligent Integration Platform (IIP) vs Fivetran](https://www.g2.com/compare/fivetran-vs-snaplogic-intelligent-integration-platform-iip) - [SnapLogic Intelligent Integration Platform (IIP) vs Workato](https://www.g2.com/compare/snaplogic-intelligent-integration-platform-iip-vs-workato) - [SnapLogic Intelligent Integration Platform (IIP) vs Celigo](https://www.g2.com/compare/celigo-vs-snaplogic-intelligent-integration-platform-iip) - [SnapLogic Intelligent Integration Platform (IIP) vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-snaplogic-intelligent-integration-platform-iip) - [SnapLogic Intelligent Integration Platform (IIP) vs Supermetrics](https://www.g2.com/compare/snaplogic-intelligent-integration-platform-iip-vs-supermetrics) - [SnapLogic Intelligent Integration Platform (IIP) vs Alteryx](https://www.g2.com/compare/alteryx-vs-snaplogic-intelligent-integration-platform-iip) - [SnapLogic Intelligent Integration Platform (IIP) vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snaplogic-intelligent-integration-platform-iip) - [SnapLogic Intelligent Integration Platform (IIP) vs Domo](https://www.g2.com/compare/domo-vs-snaplogic-intelligent-integration-platform-iip) ### 3. [Fivetran](https://www.g2.com/products/fivetran/reviews) By Fivetran **Average Rating:** 4.3/5 **Total Reviews:** 796 Fivetran is an ETL tool, designed to reinvent the simplicity by which data gets into data warehouses. Reviewers say compared to Informatica Data Engineering, Fivetran is: - More usable Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools) **Compare:** [Informatica Data Engineering vs Fivetran](https://www.g2.com/compare/fivetran-vs-informatica-data-engineering) **Compare Fivetran with other alternatives:** - [Fivetran vs Databricks](https://www.g2.com/compare/databricks-vs-fivetran) - [Fivetran vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/fivetran-vs-snaplogic-intelligent-integration-platform-iip) - [Fivetran vs Workato](https://www.g2.com/compare/fivetran-vs-workato) - [Fivetran vs Celigo](https://www.g2.com/compare/celigo-vs-fivetran) - [Fivetran vs Microsoft SQL Server](https://www.g2.com/compare/fivetran-vs-microsoft-sql-server) - [Fivetran vs Supermetrics](https://www.g2.com/compare/fivetran-vs-supermetrics) - [Fivetran vs Alteryx](https://www.g2.com/compare/alteryx-vs-fivetran) - [Fivetran vs Google Cloud BigQuery](https://www.g2.com/compare/fivetran-vs-google-cloud-bigquery) - [Fivetran vs Domo](https://www.g2.com/compare/domo-vs-fivetran) ### 4. [Workato](https://www.g2.com/products/workato/reviews) By Workato **Average Rating:** 4.7/5 **Total Reviews:** 776 The only intelligent automation platform that enables both business users and IT to build, operate and rollout app and data integration, process and workflow automation, in a single platform - without compromising security and governance. Reviewers say compared to Informatica Data Engineering, Workato is: - Better at support - More usable - Better at meeting requirements Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools) **Compare:** [Informatica Data Engineering vs Workato](https://www.g2.com/compare/informatica-data-engineering-vs-workato) **Compare Workato with other alternatives:** - [Workato vs Databricks](https://www.g2.com/compare/databricks-vs-workato) - [Workato vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/snaplogic-intelligent-integration-platform-iip-vs-workato) - [Workato vs Fivetran](https://www.g2.com/compare/fivetran-vs-workato) - [Workato vs Celigo](https://www.g2.com/compare/celigo-vs-workato) - [Workato vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-workato) - [Workato vs Supermetrics](https://www.g2.com/compare/supermetrics-vs-workato) - [Workato vs Alteryx](https://www.g2.com/compare/alteryx-vs-workato) - [Workato vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-workato) - [Workato vs Domo](https://www.g2.com/compare/domo-vs-workato) ### 5. [Celigo](https://www.g2.com/products/celigo/reviews) By Celigo **Average Rating:** 4.6/5 **Total Reviews:** 1,052 Celigo is the intelligent automation platform built for the AI era. An enterprise-ready iPaaS, Celigo helps organizations unify applications, automate complex operations, and scale digital ecosystems. The platform supports cloud integration, SaaS integration, enterprise application integration, and agentic automation under a single governance model. The platform is accessible to both business teams and developers — anyone can build, configure, and maintain integrations through natural language, while technical teams retain full control over architecture, security, and extensibility. Through an extensive library of 1,000+ prebuilt connectors, organizations can rapidly integrate systems such as ERP, CRM, ecommerce, finance, and support platforms — including NetSuite, Salesforce, SAP, Microsoft Dynamics, and Shopify — while maintaining flexibility for custom integrations and advanced API management. Celigo supports a wide range of enterprise integration scenarios including ERP integration, CRM integration, B2B integration, and EDI (electronic data interchange) workflows. These capabilities allow organizations to streamline supplier, partner, and customer data exchange while ensuring reliable data integration across internal and external systems. Built-in tools for data mapping, data transformation, and data synchronization ensure that information moves accurately and consistently between applications. What sets Celigo apart is its ability to span the full spectrum of automation — from deterministic, rules-based workflows to AI-driven decision-making — without requiring separate platforms or governance models. Celigo Agent Builder enables teams to create AI agents that reason and act across enterprise systems, with configurable guardrails that enforce business policy at runtime. Human-in-the-loop approvals ensure sensitive actions require explicit authorization before execution, and complete audit trails support compliance across every AI interaction. Celigo's MCP Server exposes enterprise capabilities through the Model Context Protocol, giving any AI agent — built inside Celigo or externally — secure, governed, auditable access to the full enterprise tech stack. This makes Celigo a foundational layer for enterprise AI orchestration, enabling organizations to connect external agents to internal systems without sacrificing control or visibility. Celigo Ora, the platform's natural language interface, makes the entire platform accessible through conversation. Anyone — including business teams without technical training — can build, modify, troubleshoot, and maintain integrations and automations by describing what they need in plain language. This eliminates the specialist bottleneck not just for building automations, but for ongoing maintenance and issue resolution as well. To accelerate deployment, Celigo offers fully managed Integration Apps and reusable integration templates that simplify common use cases such as order-to-cash automation, ecommerce integrations, and financial data flows. Centralized monitoring, runtime governance controls, and scalable architecture give enterprises full visibility into integration and automation processes while maintaining reliability and compliance. Designed for modern IT and operations teams, Celigo empowers enterprises to unify integration, automation, and AI on a single platform — scaling capacity without scaling headcount, and building a durable foundation for digital transformation across the entire application landscape. Reviewers say compared to Informatica Data Engineering, Celigo is: - Better at support - Better at meeting requirements Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools) **Compare:** [Informatica Data Engineering vs Celigo](https://www.g2.com/compare/celigo-vs-informatica-data-engineering) **Compare Celigo with other alternatives:** - [Celigo vs Databricks](https://www.g2.com/compare/celigo-vs-databricks) - [Celigo vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/celigo-vs-snaplogic-intelligent-integration-platform-iip) - [Celigo vs Fivetran](https://www.g2.com/compare/celigo-vs-fivetran) - [Celigo vs Workato](https://www.g2.com/compare/celigo-vs-workato) - [Celigo vs Microsoft SQL Server](https://www.g2.com/compare/celigo-vs-microsoft-sql-server) - [Celigo vs Supermetrics](https://www.g2.com/compare/celigo-vs-supermetrics) - [Celigo vs Alteryx](https://www.g2.com/compare/alteryx-vs-celigo) - [Celigo vs Google Cloud BigQuery](https://www.g2.com/compare/celigo-vs-google-cloud-bigquery) - [Celigo vs Domo](https://www.g2.com/compare/celigo-vs-domo) ### 6. [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) By Microsoft **Average Rating:** 4.4/5 **Total Reviews:** 2,284 SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI. Reviewers say compared to Informatica Data Engineering, Microsoft SQL Server is: - Better at meeting requirements Categories in common with Informatica Data Engineering: [On-Premise Data Integration](https://www.g2.com/categories/on-premise-data-integration) **Compare:** [Informatica Data Engineering vs Microsoft SQL Server](https://www.g2.com/compare/informatica-data-engineering-vs-microsoft-sql-server) **Compare Microsoft SQL Server with other alternatives:** - [Microsoft SQL Server vs Databricks](https://www.g2.com/compare/databricks-vs-microsoft-sql-server) - [Microsoft SQL Server vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/microsoft-sql-server-vs-snaplogic-intelligent-integration-platform-iip) - [Microsoft SQL Server vs Fivetran](https://www.g2.com/compare/fivetran-vs-microsoft-sql-server) - [Microsoft SQL Server vs Workato](https://www.g2.com/compare/microsoft-sql-server-vs-workato) - [Microsoft SQL Server vs Celigo](https://www.g2.com/compare/celigo-vs-microsoft-sql-server) - [Microsoft SQL Server vs Supermetrics](https://www.g2.com/compare/microsoft-sql-server-vs-supermetrics) - [Microsoft SQL Server vs Alteryx](https://www.g2.com/compare/alteryx-vs-microsoft-sql-server) - [Microsoft SQL Server vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-microsoft-sql-server) - [Microsoft SQL Server vs Domo](https://www.g2.com/compare/domo-vs-microsoft-sql-server) ### 7. [Supermetrics](https://www.g2.com/products/supermetrics/reviews) By Supermetrics **Average Rating:** 4.4/5 **Total Reviews:** 823 Supermetrics helps over half a million marketers and analysts move data from popular marketing and ad platforms like Facebook, Google, and HubSpot to their favorite analytics, reporting, and data warehouse platforms. Over 15% of global ad spend is reported through Supermetrics. Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools) **Compare:** [Informatica Data Engineering vs Supermetrics](https://www.g2.com/compare/informatica-data-engineering-vs-supermetrics) **Compare Supermetrics with other alternatives:** - [Supermetrics vs Databricks](https://www.g2.com/compare/databricks-vs-supermetrics) - [Supermetrics vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/snaplogic-intelligent-integration-platform-iip-vs-supermetrics) - [Supermetrics vs Fivetran](https://www.g2.com/compare/fivetran-vs-supermetrics) - [Supermetrics vs Workato](https://www.g2.com/compare/supermetrics-vs-workato) - [Supermetrics vs Celigo](https://www.g2.com/compare/celigo-vs-supermetrics) - [Supermetrics vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-supermetrics) - [Supermetrics vs Alteryx](https://www.g2.com/compare/alteryx-vs-supermetrics) - [Supermetrics vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-supermetrics) - [Supermetrics vs Domo](https://www.g2.com/compare/domo-vs-supermetrics) ### 8. [Alteryx](https://www.g2.com/products/alteryx/reviews) By Alteryx **Average Rating:** 4.6/5 **Total Reviews:** 837 Alteryx drives transformational business outcomes through unified analytics, data science, and process automation. Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools) **Compare:** [Informatica Data Engineering vs Alteryx](https://www.g2.com/compare/alteryx-vs-informatica-data-engineering) **Compare Alteryx with other alternatives:** - [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks) - [Alteryx vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/alteryx-vs-snaplogic-intelligent-integration-platform-iip) - [Alteryx vs Fivetran](https://www.g2.com/compare/alteryx-vs-fivetran) - [Alteryx vs Workato](https://www.g2.com/compare/alteryx-vs-workato) - [Alteryx vs Celigo](https://www.g2.com/compare/alteryx-vs-celigo) - [Alteryx vs Microsoft SQL Server](https://www.g2.com/compare/alteryx-vs-microsoft-sql-server) - [Alteryx vs Supermetrics](https://www.g2.com/compare/alteryx-vs-supermetrics) - [Alteryx vs Google Cloud BigQuery](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery) - [Alteryx vs Domo](https://www.g2.com/compare/alteryx-vs-domo) ### 9. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) By Google **Average Rating:** 4.5/5 **Total Reviews:** 1,226 Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data. Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools) **Compare:** [Informatica Data Engineering vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-informatica-data-engineering) **Compare Google Cloud BigQuery with other alternatives:** - [Google Cloud BigQuery vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/google-cloud-bigquery-vs-snaplogic-intelligent-integration-platform-iip) - [Google Cloud BigQuery vs Fivetran](https://www.g2.com/compare/fivetran-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Workato](https://www.g2.com/compare/google-cloud-bigquery-vs-workato) - [Google Cloud BigQuery vs Celigo](https://www.g2.com/compare/celigo-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Microsoft SQL Server](https://www.g2.com/compare/google-cloud-bigquery-vs-microsoft-sql-server) - [Google Cloud BigQuery vs Supermetrics](https://www.g2.com/compare/google-cloud-bigquery-vs-supermetrics) - [Google Cloud BigQuery vs Alteryx](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Domo](https://www.g2.com/compare/domo-vs-google-cloud-bigquery) ### 10. [Domo](https://www.g2.com/products/domo/reviews) By Domo **Average Rating:** 4.3/5 **Total Reviews:** 1,011 Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence & Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security & Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards. Categories in common with Informatica Data Engineering: [ETL Tools](https://www.g2.com/categories/etl-tools) **Compare:** [Informatica Data Engineering vs Domo](https://www.g2.com/compare/domo-vs-informatica-data-engineering) **Compare Domo with other alternatives:** - [Domo vs Databricks](https://www.g2.com/compare/databricks-vs-domo) - [Domo vs SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/compare/domo-vs-snaplogic-intelligent-integration-platform-iip) - [Domo vs Fivetran](https://www.g2.com/compare/domo-vs-fivetran) - [Domo vs Workato](https://www.g2.com/compare/domo-vs-workato) - [Domo vs Celigo](https://www.g2.com/compare/celigo-vs-domo) - [Domo vs Microsoft SQL Server](https://www.g2.com/compare/domo-vs-microsoft-sql-server) - [Domo vs Supermetrics](https://www.g2.com/compare/domo-vs-supermetrics) - [Domo vs Alteryx](https://www.g2.com/compare/alteryx-vs-domo) - [Domo vs Google Cloud BigQuery](https://www.g2.com/compare/domo-vs-google-cloud-bigquery) --- ## Informatica Data Engineering Alternatives FAQs ### What are the best alternatives to Informatica Data Engineering? The best alternatives to Informatica Data Engineering include [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 stars, 801 reviews), [SnapLogic](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, 795 reviews), and [Workato](https://www.g2.com/products/workato/reviews) (4.7/5 stars, 759 reviews). These platforms are highly rated for their usability, integration capabilities, and support, with Databricks and Workato notably excelling in support and meeting requirements compared to Informatica Data Engineering. ### Which ETL Tools tools do reviewers recommend instead of Informatica Data Engineering? Reviewers recommend [Databricks](https://www.g2.com/products/databricks/reviews) for its unified platform that integrates data engineering, analytics, and machine learning with fast processing and collaborative notebooks, praised in over 800 reviews. [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) is favored for its AI-led generative integration, drag-and-drop interface, and extensive prebuilt connectors, highlighted in nearly 400 reviews. [Fivetran](https://www.g2.com/products/fivetran/reviews) is valued for its ease of setup, automated schema handling, and wide connector library across 795 reviews. [Workato](https://www.g2.com/products/workato/reviews) is recommended for its low-code recipe builder, extensive connector library, and strong automation capabilities, supported by 759 reviews. These tools are preferred for their ease of use, scalability, and ability to accelerate integration and automation workflows compared to Informatica Data Engineering. ### How does Informatica Data Engineering compare to Databricks? According to G2 data, [Informatica Data Engineering](https://www.g2.com/products/informatica-data-engineering/reviews) holds an average rating of 4.4 out of 5 based on 28 reviews, while [Databricks](https://www.g2.com/products/databricks/reviews) has a higher average rating of 4.6 out of 5 from 801 reviews. Databricks leads Informatica by 0.1 points in meeting requirements (9.0 vs 8.9), 0.1 points in usability (8.9 vs 8.8), and 0.2 points in support quality (8.8 vs 8.6). Additionally, Databricks scores 8.7 in ease of setup and 8.4 in ease of administration, dimensions not rated for Informatica. User sentiment highlights that Informatica is praised for its cloud integration, intuitive interface, ETL efficiency, and strong connectivity. In contrast, Databricks is highly regarded for its extensive features (192 mentions), ease of use (155 mentions), integrations (141 mentions), collaboration capabilities (114 mentions), scalability (111 mentions), and machine learning integration (106 mentions). Overall, Databricks offers a more comprehensive and scalable platform with stronger support for collaboration and machine learning workflows, while Informatica is valued for its ETL efficiency and cloud compatibility. ### Why do users choose Databricks over Informatica Data Engineering? Users choose [Databricks](https://www.g2.com/products/databricks/reviews) over Informatica Data Engineering primarily due to its unified platform that integrates data engineering, analytics, and machine learning in one environment. Databricks simplifies managing large-scale data workloads with features like collaborative notebooks supporting multiple languages (Python, SQL, Scala), seamless Apache Spark integration, and Delta Lake for reliable data management. It enables faster development cycles, better collaboration across teams, and supports advanced AI/ML workflows with built-in tools like MLflow and Genie AI. Databricks also offers superior scalability and performance, handling terabytes to petabytes of data efficiently with autoscaling clusters and optimized query engines. Its integration with cloud services and BI tools streamlines workflows and reduces operational overhead. Users appreciate the platform's ability to consolidate multiple tools into one, reducing complexity and improving productivity. Databricks' extensive feature set, strong support for machine learning, and collaborative environment make it the preferred choice for organizations seeking a scalable, all-in-one data intelligence platform that accelerates innovation and simplifies complex data workflows, as reflected in its 4.6-star rating across 801 reviews on G2. ## Explore Articles - [What is the top-rated note-taking software for professional use?](https://www.g2.com/discussions/what-is-the-top-rated-note-taking-software-for-professional-use) - [Best AI-powered agents for handling common customer queries](https://www.g2.com/discussions/what-are-the-best-ai-powered-agents-for-handling-common-customer-queries) - [Which HCM system offers AI-powered workforce analytics?](https://www.g2.com/discussions/which-hcm-system-offers-ai-powered-workforce-analytics) - [Top tools for managing and securing APIs](https://www.g2.com/discussions/top-tools-for-managing-and-securing-apis) - [What platform provides searchable transcripts for audio and video files?](https://www.g2.com/discussions/what-platform-provides-searchable-transcripts-for-audio-and-video-files) - [Which AI video generation platform offers the fastest rendering?](https://www.g2.com/discussions/which-ai-video-generation-platform-offers-the-fastest-rendering) ## Spotlight Categories - [Sales Compensation Software](https://www.g2.com/categories/sales-compensation) - [Customer Service Automation Software](https://www.g2.com/categories/customer-service-automation) - [Contact Center Workforce Software](https://www.g2.com/categories/contact-center-workforce)