--- title: Azure Databricks Reviews meta_title: 'Azure Databricks Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 238 reviews by the users' company size, role or industry to find out how Azure Databricks works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 238 scale: '5' date_modified: '2026-07-17' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Azure Databricks Reviews **Vendor:** Microsoft **Category:** [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics) **Average Rating:** 4.5/5.0 **Total Reviews:** 238 ## About Azure Databricks Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizations can efficiently process large-scale data, perform advanced analytics, and build AI solutions, all while benefiting from the scalability and security of Azure. Key Features and Functionality: - Lakehouse Architecture: Combines the best elements of data lakes and data warehouses, enabling unified data storage and analytics. - Collaborative Notebooks: Interactive workspaces that support multiple languages, facilitating teamwork among data engineers, data scientists, and analysts. - Optimized Apache Spark Engine: Enhances performance for big data processing tasks, ensuring faster and more reliable analytics. - Delta Lake Integration: Provides ACID transactions and scalable metadata handling, improving data reliability and consistency. - Seamless Azure Integration: Offers native connectivity to Azure services like Power BI, Azure Data Lake Storage, and Azure Synapse Analytics, streamlining data workflows. - Advanced Machine Learning Support: Includes pre-configured environments for machine learning and AI development, with support for popular frameworks and libraries. Primary Value and Solutions Provided: Azure Databricks addresses the challenges of managing and analyzing vast amounts of data by offering a scalable and collaborative platform that unifies data engineering, data science, and machine learning. It simplifies complex data workflows, accelerates time-to-insight, and enables the development of AI-driven solutions. By integrating seamlessly with Azure services, it ensures secure and efficient data processing, helping organizations make data-driven decisions and innovate rapidly. ## Azure Databricks Pros & Cons **What users like:** - Users find Azure Databricks to be **very easy to use and implement** , enhancing their development experience significantly. (9 reviews) - Users value the **rich feature set** of Azure Databricks, highlighting its excellent integration and support for multiple languages. (8 reviews) - Users value the **seamless integrations** of Azure Databricks with Azure services, enhancing efficiency and simplifying workflows. (6 reviews) - Users benefit from the **impressive speed** of Azure Databricks for large-scale data processing and implementation. (5 reviews) - Users value the **efficiency of analytics** in Azure Databricks, enabling streamlined data processing and insights generation. (4 reviews) - Scaling (4 reviews) - Users appreciate the **intuitive user interface** of Azure Databricks, which enhances collaboration for both technical and non-technical users. (3 reviews) - Powerful (3 reviews) - Productivity Improvement (3 reviews) - Serverless Architecture (3 reviews) **What users dislike:** - Users find Azure Databricks' **complexity** challenging, particularly during initial setup and cluster management. (3 reviews) - Users find the **difficult setup** of Azure Databricks challenging, making initial configuration a complex process. (3 reviews) - Users experience a **steep learning curve** with Azure Databricks, finding it challenging while adapting to its complexity. (3 reviews) - Users experience **slow performance** with Azure Databricks, particularly during cluster startup and parallel processing tasks. (3 reviews) - Users often find **unclear pricing** for Azure Databricks, as costs can escalate quickly without proper monitoring. (3 reviews) - Users face challenges with **workflow issues** , particularly in monitoring and managing multiple pipeline executions effectively. (3 reviews) - Users find the **complex usability** of Azure Databricks challenging, especially for beginners navigating its extensive features. (2 reviews) - Cost Management (2 reviews) - Users find Azure Databricks **very costly** , especially when clusters are poorly managed or left running unnecessarily. (2 reviews) - Poor Customer Support (2 reviews) ## Azure Databricks Discussions - [When data is small how can I reconfigure cluster to automatically adjust . I don't know which day data coming will be small.](https://www.g2.com/discussions/azure-databricks-when-data-is-small-how-can-i-reconfigure-cluster-to-automatically-adjust-i-don-t-know-which-day-dat) - 1 comment, 1 upvote - [What is the best way to databricks in ADF](https://www.g2.com/discussions/26515-what-is-the-best-way-to-databricks-in-adf) - 1 comment, 1 upvote - [What is Azure Databricks used for?](https://www.g2.com/discussions/azure-databricks-what-is-azure-databricks-used-for) - 2 comments - [Is Azure Databricks PaaS or SAAS?](https://www.g2.com/discussions/is-azure-databricks-paas-or-saas) - 2 comments - [Does Microsoft own Databricks?](https://www.g2.com/discussions/does-microsoft-own-databricks) - 2 comments - [View Azure Databricks pricing details and edition comparison](https://www.g2.com/products/azure-databricks/reviews?page=10§ion=pricing&secure%5Bexpires_at%5D=2026-07-25+19%3A54%3A08+-0500&secure%5Bsession_id%5D=209cc799-5161-4ad4-83fb-c9abe370ad19&secure%5Btoken%5D=e692050e5a5835d8e44ab91435221a7602badd449b04f2d9e009e754505828fa&format=llm_user) ## Azure Databricks Integrations - [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - [Azure Data Lake Store](https://www.g2.com/products/azure-data-lake-store/reviews) - [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) ## Azure Databricks Features **Data Transformation** - Real-Time Analytics - Data Querying **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Azure Databricks Alternatives - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (849 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (711 reviews) - [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) - 4.3/5.0 (415 reviews)