--- title: Databricks Reviews meta_title: 'Databricks Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 1342 reviews by the users' company size, role or industry to find out how Databricks works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 1342 scale: '5' date_modified: '2026-07-10' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Databricks Reviews **Vendor:** Databricks Inc. **Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) **Average Rating:** 4.6/5.0 **Total Reviews:** 1,342 ## About Databricks Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. ## Databricks Pros & Cons **What users like:** - Users highlight the **seamless integration** of Databricks with AWS, enhancing their data management and processing capabilities. (288 reviews) - Users love the **ease of use** of Databricks, seamlessly integrating with various services for efficient data management. (278 reviews) - Users appreciate the **seamless integration with AWS and Azure** , enhancing collaboration and efficiency in data management. (189 reviews) - Users value the **excellent collaboration** features of Databricks, enhancing teamwork and real-time project alignment. (150 reviews) - Users value the **effective data management features** of Databricks, simplifying their workflows and enhancing decision-making. (150 reviews) - Users appreciate the **easy integrations** of Databricks, seamlessly connecting with cloud infrastructure and enhancing data management. (148 reviews) - Users value the **extensive analytical features** of Databricks, facilitating efficient operations and comprehensive data insights. (139 reviews) - Machine Learning (136 reviews) - ML Integration (135 reviews) - Scalability (134 reviews) **What users dislike:** - Users find the **steep learning curve** of Databricks challenging, impacting onboarding and widespread organizational use. (112 reviews) - Users find the **costs for Databricks quite high** , especially when working with large datasets, impacting overall satisfaction. (97 reviews) - Users face a **steep learning curve** with Databricks, making initial adoption and resource management challenging. (96 reviews) - Users express frustration over **missing features** in Databricks, limiting its effectiveness for complex deployments and custom setups. (69 reviews) - Users often face **complexity due to a steep learning curve** and challenges with integration and documentation in Databricks. (64 reviews) - Users face **unintuitive UI issues** that lead to random errors and complicate the experience for non-technical users. (61 reviews) - Performance Issues (57 reviews) - Poor UI Design (53 reviews) - Difficult Learning (51 reviews) - Users experience a **complex setup** process initially, but support helps to simplify the experience over time. (45 reviews) ## Databricks Reviews ### 1. Transforms Data Management with Exceptional Support **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I appreciate how Databricks helps with data governance, query engine, storage, and AI. I like that Genie helps us democratize data to business users for faster insights generation. The initial setup was easier with the help from the Databricks folks. **What do you dislike about Databricks?** Costs can shoot up if we are not careful **What problems is Databricks solving and how is that benefiting you?** Databricks helps with data governance, query engine, storage, and AI. Genie feature democratizes data to business users for quicker insights generation. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with Databricks. We're pleased that you find our platform helpful for managing data and using Genie to generate faster insights. We understand the importance of cost management and are committed to providing value for our customers. ### 2. Automation and Speed with Intuitive Interface **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like the simplicity and interface of Databricks, as well as the Unity Catalog, as they help in data governance and in building workflows. Additionally, I appreciate the platform's response speed and that the initial setup was straightforward. **What do you dislike about Databricks?** Dashboards are not a very visual interface. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to automate processes, improving response speed and facilitating data governance and flow construction. **Official Response from Janelle Glover:** > We're happy to hear that you find Databricks' interface and Unity Catalog beneficial for data governance and workflow building. We understand the importance of response speed and are glad that the initial setup was straightforward for you. Thank you for sharing your feedback on the dashboard interface, and we will take it into account as we continue to improve our platform. ### 3. Efficient Unified Platform for Scalable Data Processing **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 12, 2026 **What do you like best about Databricks?** I like how Databricks simplifies big data processing with a unified platform for data engineering, analytics, and machine learning. Its seamless integration with Spark and scalability makes handling large datasets much more efficient. **What do you dislike about Databricks?** The cost can become quite high with heavy usage, especially if clusters aren’t optimized. Also, debugging and monitoring jobs can sometimes feel less intuitive compared to traditional tools. **What problems is Databricks solving and how is that benefiting you?** Databricks solves the challenge of processing and managing large-scale data efficiently by providing a unified platform for ETL, analytics, and machine learning. It benefits me by simplifying pipeline development, improving performance with Spark, and reducing the need to manage multiple tools. **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks efficient and scalable for big data processing. Our seamless integration with Spark is designed to simplify data engineering and analytics. We understand your concerns about the cost and usability and we continuously work on optimizing clusters and improving the user experience to provide better value for our customers. ### 4. Databricks works with almost everything **Rating:** 5.0/5.0 stars **Reviewed by:** Jorge F. | Senior Agile Product Owner, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Integration with multiple sources in a seamless manner. **What do you dislike about Databricks?** I have no complaints yet about the product **What problems is Databricks solving and how is that benefiting you?** Reliable, democratized access to data, supported by the right level of security and the necessary guardrails. **Official Response from Jess Darnell:** > We're glad to hear that you appreciate Databricks' seamless integration with multiple sources. It's great to know that you haven't encountered any complaints with our product so far. ### 5. Databricks Apps Make It Easy to Build Customer-Facing UIs **Rating:** 5.0/5.0 stars **Reviewed by:** Suran B. | Data engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks app which is now something I can build UI on for my customers. **What do you dislike about Databricks?** Genie AI assistant for debugging code a. **What problems is Databricks solving and how is that benefiting you?** It solve traditional warehouse architecture and help build unifies lakehouse solution. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping you solve traditional warehouse architecture and build a unified Lakehouse solution. ### 6. Open Frameworks and Standards at the Center of Everything **Rating:** 5.0/5.0 stars **Reviewed by:** Robert T. | Member Of Technical Staff Solutions Architecture, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Open frameworks and open standards are at the center of everything. **What do you dislike about Databricks?** Documents can sometimes be hard to find, especially on Azure. **What problems is Databricks solving and how is that benefiting you?** Putting data at the forefront of decision-making is easy with Databricks. **Official Response from Jess Darnell:** > Thank you for highlighting the value of open frameworks and standards in Databricks. We apologize for any difficulties you've experienced in finding documents, and we're committed to enhancing the accessibility of resources, especially on Azure. Your input is valuable to us. ### 7. Excellent Open-Source Support and Flexible Data Formats **Rating:** 5.0/5.0 stars **Reviewed by:** Zengfei S. | Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Open source support, flexible of data format **What do you dislike about Databricks?** Performance tuning is a challenge, hard to tune to have good performance with lot of table joins **What problems is Databricks solving and how is that benefiting you?** Saving warehouse costing and gain the performance tuning **Official Response from Aunalisa Arellano:** > Thank you for sharing your feedback with us! We're thrilled to hear that you appreciate Databricks for its open source support and flexible data formats. We understand the challenges you've faced with performance tuning, especially with complex table joins. Our team is constantly working to enhance the platform's performance capabilities. We would love to connect with you to gather more insights on your specific use case and offer assistance in optimizing your performance tuning. Please feel free to reach out to our support team so we can work together to ensure you're getting the most out of Databricks. Thank you for choosing us to help you save on warehouse costs and improve performance! ### 8. Comprehensive Ecosystem with Configuration Challenges **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like that the Databricks ecosystem contains everything I need. I also appreciate the Unity Catalog and the SQL warehouse integration and performance. The initial setup of Databricks was easy. **What do you dislike about Databricks?** It's a lot of configurations are not possible. And it is sometimes too managed and not very expressive. **What problems is Databricks solving and how is that benefiting you?** I like that Databricks has an ecosystem that contains everything and appreciates the Unity Catalog and SQL warehouse integration and performance. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with the Databricks ecosystem and the ease of initial setup. We acknowledge the feedback regarding configuration challenges and the platform's manageability. We're committed to addressing these concerns to enhance user experience. ### 9. Unlocking Scalable Data Insights with Databricks **Rating:** 5.0/5.0 stars **Reviewed by:** Abhi J. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 24, 2025 **What do you like best about Databricks?** Databricks excels in unifying data engineering, analytics, and machine learning in a collaborative, cloud-based environment. Its support for multiple programming languages (Python, SQL, Scala, R) makes it incredibly flexible. The Lakehouse architecture simplifies data management by combining the best of data lakes and data warehouses. The auto-scaling compute clusters, tight integration with tools like MLflow, and powerful notebooks streamline experimentation and production deployment. I also appreciate the frequent product updates and commitment to open-source technologies like Apache Spark and Delta Lake. **What do you dislike about Databricks?** While powerful, Databricks has a learning curve—especially for non-technical users or those new to Spark-based architectures. Pricing can escalate quickly if not closely monitored, particularly with always-on clusters. The UI, although improving, still feels unintuitive in certain areas (like managing jobs or cluster permissions). Some integrations, especially with on-premise systems, require additional effort or custom workarounds. **What problems is Databricks solving and how is that benefiting you?** Databricks addresses the fragmentation between data engineering, data science, and analytics by offering a unified platform. Previously, we struggled with maintaining multiple disconnected tools for ETL, machine learning, and BI. Databricks' Lakehouse architecture allows us to manage structured and unstructured data in a single place, simplifying our data pipelines and reducing operational overhead. It also improves collaboration across teams—data engineers, analysts, and data scientists can work together in shared notebooks with version control and built-in visualizations. With Delta Lake, we now have ACID-compliant data reliability and time-travel capabilities, which help ensure data quality and reproducibility. As a result, project delivery times have decreased, and our ability to iterate quickly on models and reports has improved significantly—leading to faster business insights and better data-driven decision-making. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks! We're glad to hear that you find our platform flexible, collaborative, and powerful. We appreciate your feedback and are committed to continuously improving the user experience. ### 10. Speedy Development and Powerful Genie, but the UI Needs to Be More Intuitive **Rating:** 3.5/5.0 stars **Reviewed by:** eddie l. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Speedy and fast development and Genie capability **What do you dislike about Databricks?** UI is not friendly and need to be more intuitive **What problems is Databricks solving and how is that benefiting you?** The AI genie can provide a different way to expose data to biz user **Official Response from Jess Darnell:** > Thank you for your feedback! We're pleased that you are enjoying the speedy development and powerful Genie capability. We understand your concerns about the UI and will work on making it more intuitive for a better user experience. ### 11. Unity catalog Keeps Our Data Consistent—Amazing Experience **Rating:** 4.5/5.0 stars **Reviewed by:** Karan B. | Principal Operations Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Unity catalog is just amazing and keeps my data consistent. **What do you dislike about Databricks?** Honestly, I can’t think of anything I dislike about Databricks. **What problems is Databricks solving and how is that benefiting you?** Solving the data governance issue and data engineering and pipeline issues **Official Response from Janelle Glover:** > We're thrilled to hear that you're having an amazing experience with Unity catalog and that it's keeping your data consistent! ### 12. So Many Tools in Databricks—A Powerful All-in-One Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Matt M. | Technical Editor, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The amount of tools available inside of Databricks **What do you dislike about Databricks?** That it can't do everything for me! Yet! **What problems is Databricks solving and how is that benefiting you?** The Genie agent might be something I use to curate and write new DQX tests **Official Response from Janelle Glover:** > We're glad to hear that you find the variety of tools in Databricks valuable for your needs! ### 13. Easy Data Source Connections and Smooth ETL Processing in DBX **Rating:** 4.0/5.0 stars **Reviewed by:** Amod S. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like how easy it is to connect my data sources and manage ETL processing in DBX. **What do you dislike about Databricks?** Compute costs when needing power serverless computes **What problems is Databricks solving and how is that benefiting you?** Solving traditional ORACLE ETLs that’s run sequentially **Official Response from Janelle Glover:** > We're glad to hear that you find it easy to connect data sources and manage ETL processing in Databricks! ### 14. Easy to Use, Feature-Rich, and Boosts Efficiency **Rating:** 5.0/5.0 stars **Reviewed by:** Matt B. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Ease of use and abundance of new features that help us be more efficient **What do you dislike about Databricks?** At this time none. Perhaps additional native connections **What problems is Databricks solving and how is that benefiting you?** Unifying disparate systems into one unified system with controls **Official Response from Janelle Glover:** > Thank you for your positive feedback! We're glad to hear that Databricks is helping to unify disparate systems and boost efficiency for your team. We'll take note of your suggestion for additional connections. We appreciate your support! ### 15. A Unified Platform for Data **Rating:** 5.0/5.0 stars **Reviewed by:** Eric R. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks provide a single unified platform for data that is scalable. **What do you dislike about Databricks?** The cost of the platform is a concern for us. **What problems is Databricks solving and how is that benefiting you?** Solving enterprise wide data access issue with authentic, verified data. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping to solve your enterprise-wide data access issues with authentic and verified data. ### 16. Powerful Performance That Delivers **Rating:** 4.5/5.0 stars **Reviewed by:** Fernando M. | Senior Software Development Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** How powerful it is and how many resources are available in one place **What do you dislike about Databricks?** Compute resources take a long time to spin up and it is expensive. **What problems is Databricks solving and how is that benefiting you?** Making data available for analytics **Official Response from Janelle Glover:** > Thank you for your feedback! We're thrilled that you find Databricks powerful and resourceful. We understand the challenges with compute resource spin-up time and cost, and we're actively working to address these issues. We appreciate your support. ### 17. Powerful AI Data Lakehouse with Hundreds of Connectors **Rating:** 5.0/5.0 stars **Reviewed by:** Shekhar S. | Application Developer, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** About AI and data lakebase with 100s of connectors **What do you dislike about Databricks?** Many applications to use and easily get overwhelmed with it **What problems is Databricks solving and how is that benefiting you?** We are trying to migrate our sql server data to Postgres Lakebase **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks is helping you migrate your SQL Server data to Postgres Lakebase. We're committed to providing solutions that make data migration and management more efficient for our customers. ### 18. Databricks Makes EDW Management Easy with Powerful AI Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks has allowed me to manage our EDW with ease. Automated data validation, AI analytics and our AI/BI dashboards are critical to running the Data Engineering team. **What do you dislike about Databricks?** Databricks can be very expensive. It's important to make sure your environment is right sized before deploying to production, or the cost can quickly escalate. **What problems is Databricks solving and how is that benefiting you?** We needed a modern scalable solution for our data platform, and we found that in Databricks. **Official Response from Jess Darnell:** > We're glad to hear that Databricks has made managing your EDW easier and that the automated data validation and AI analytics have been beneficial for your team. ### 19. Intuitive, Easy-to-Use Tool That Democratizes Data **Rating:** 5.0/5.0 stars **Reviewed by:** André M. | Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** It’s very intuitive and easy to use. Good way to democratize data **What do you dislike about Databricks?** Sometimes features take too long to be added to our account **What problems is Databricks solving and how is that benefiting you?** I apply ML algorithms to Machine data **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks intuitive and easy to use. We're constantly working to improve our features and minimize any delays in adding them to your account. Thank you for taking the time to leave a review! ### 20. Powerful Unified Platform for Data and AI, but Complex Setup and Costly for Continuous Use **Rating:** 5.0/5.0 stars **Reviewed by:** ILCHO I. | expert buyer, Airlines/Aviation, Enterprise (> 1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Databricks?** I like that Databricks provides a unified environment for data engineering, analytics, and machine learning. The platform makes it easy to collaborate across teams, manage large-scale data efficiently, and build advanced AI models using the same infrastructure. The integration with major cloud providers and the Lakehouse architecture make data management both flexible and scalable. **What do you dislike about Databricks?** While Databricks is a powerful and flexible platform, it can be complex to set up and manage, especially for teams without strong data engineering expertise. The cost structure can also become expensive for continuous workloads, and performance tuning sometimes requires deep knowledge of Spark and cluster optimization. Additionally, the user interface could be more intuitive for non-technical users. **What problems is Databricks solving and how is that benefiting you?** Databricks helps centralize and manage large volumes of data from different sources in a single, scalable platform. It simplifies data processing, analytics, and machine learning workflows, allowing teams to collaborate efficiently and deliver insights faster. By integrating data engineering, analytics, and AI capabilities, it reduces infrastructure complexity and accelerates the development of data-driven solutions. **Official Response from Aunalisa Arellano:** > We appreciate your positive feedback on Databricks' unified environment for data engineering, analytics, and machine learning. The integration with major cloud providers and the Lakehouse architecture are designed to provide flexibility and scalability in data management. ### 21. Great Value Stack with Full Control **Rating:** 4.0/5.0 stars **Reviewed by:** Zhivko K. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** A great stack at a good cost, with full control over everything. **What do you dislike about Databricks?** Some features are missing, and it’s also not great for low-latency workloads. **What problems is Databricks solving and how is that benefiting you?** Data ingestion, warehousing, governance, and BI. **Official Response from Jess Darnell:** > Thank you for sharing your feedback. We're pleased that Databricks is helping you with data ingestion, warehousing, governance, and BI. We take note of your concerns about missing features and low-latency workloads, and we are committed to enhancing our platform to address these issues. ### 22. Love Genie **Rating:** 5.0/5.0 stars **Reviewed by:** Brad S. | Business Intelligence Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Genie is awesome, and I use it every chance I get. **What do you dislike about Databricks?** There’s nothing I dislike about databricks I can think k kg **What problems is Databricks solving and how is that benefiting you?** Talk to my data, semantic layers data discovery **Official Response from Janelle Glover:** > We appreciate your kind words about Genie! It's fantastic to hear that it's been a helpful solution for your data needs. ### 23. Love the Open-Source Technology **Rating:** 4.5/5.0 stars **Reviewed by:** raviteja k. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The open source nature of technologies and eliminates vendor lockin **What do you dislike about Databricks?** It looks like we have now everything in Databricks, moving out may be impossible **What problems is Databricks solving and how is that benefiting you?** Helped us move from legacy technology **Official Response from Janelle Glover:** > It's great to hear that Databricks has helped you move from legacy technology. We're committed to providing solutions that enable seamless modernization and improved efficiency. ### 24. More useful and powerful **Rating:** 4.5/5.0 stars **Reviewed by:** Kumaravelu R. | Senior Technical Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It is a friendly and powerful tool. It is cost-effective and can be used in many places. **What do you dislike about Databricks?** It’s better to use, but it’s more suitable for big organizations. **What problems is Databricks solving and how is that benefiting you?** Decision making. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks a friendly and powerful tool and that it is cost-effective for your needs. Thank you so much for taking the time to leave a review! ### 25. Worth the effort **Rating:** 5.0/5.0 stars **Reviewed by:** Shaurya J. | Marketing Manager, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Databricks?** Databricks excels at unifying data engineering, analytics, and machine learning into one seamless platform. What I like best is how effortlessly it handles massive data volumes while enabling collaborative development through notebooks. The integration with Apache Spark and the ability to run scalable workloads with ML, SQL, and Python side-by-side makes it a powerhouse for data-driven teams. Its governance and Delta Lake architecture also ensure reliability and security across the data pipeline. **What do you dislike about Databricks?** While Databricks is incredibly powerful, the learning curve can be steep for non-technical users or teams new to distributed computing. The UI, though functional, can sometimes feel a bit clunky compared to more modern data platforms. Additionally, managing costs in a multi-user environment requires careful governance, especially for teams running large-scale compute-heavy jobs. **What problems is Databricks solving and how is that benefiting you?** Databricks is helping us break down data silos by centralizing data engineering, analytics, and machine learning into a unified environment. It simplifies handling large datasets, automates ETL processes, and enables real-time analytics and AI-driven insights. As a result, we’ve significantly improved our data pipeline efficiency, reduced time to insights, and empowered both data scientists and analysts to collaborate more effectively using a single platform. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks Data Intelligence Platform valuable for unifying data engineering, analytics, and machine learning. We appreciate your feedback on the learning curve and UI, and we're continuously working to improve the user experience. Thank you for sharing how Databricks is benefiting your team by centralizing data and improving efficiency. ### 26. Centralized Data Analysis with Powerful Forecasting **Rating:** 4.5/5.0 stars **Reviewed by:** Alexander G. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like that I have everything in one place with Databricks. **What do you dislike about Databricks?** The Genie agent could be better. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to analyze customer behavior, detect fraud, and forecast demand effectively. **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping you effectively analyze customer behavior, detect fraud, and forecast demand. We appreciate your feedback about the Genie agent and will take it into consideration for future improvements. ### 27. Love the Genie and Dashboarding Features **Rating:** 5.0/5.0 stars **Reviewed by:** Saranga VijayaKumar K. | Director, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Genie and dashboarding features along with integrated toolset **What do you dislike about Databricks?** None I don’t have any disliking features or concerns **What problems is Databricks solving and how is that benefiting you?** Build enterprise DATALAKE for commercial data platform for global pharma and medtech organizations **Official Response from Janelle Glover:** > We're glad to hear that you love the Genie and our dashboarding features! They are designed to provide a seamless and efficient experience for our users. ### 28. Helpful Features for Training and Monitoring Data Models **Rating:** 4.0/5.0 stars **Reviewed by:** LendGrove M. | Managet, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Features are helpful in training and monitoring our data models **What do you dislike about Databricks?** I don’t have any feedback on this to share **What problems is Databricks solving and how is that benefiting you?** Pre training models to help our fraud and risk control teams **Official Response from Janelle Glover:** > It's great to hear that our platform is benefiting your fraud and risk control teams by pre-training models. ### 29. Great Partners, Great Products **Rating:** 5.0/5.0 stars **Reviewed by:** Yuval N. | Business Development Representative, Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Great partners, great products. We’re partners of them and having really good time. **What do you dislike about Databricks?** Dashboard, aren’t good enough, it’s hard to navigate through different sections **What problems is Databricks solving and how is that benefiting you?** Everything is just smoother, straight forward **Official Response from Janelle Glover:** > We're glad to hear that you are enjoying our partnership and products. We appreciate your feedback about the dashboard and navigation, and we will take this into consideration for future improvements. ### 30. Open-Source Flexibility with Powerful AI for Data Flow **Rating:** 5.0/5.0 stars **Reviewed by:** Colin . | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Open source feature and AI abilities for data flow **What do you dislike about Databricks?** The cost of hosting databricks applications **What problems is Databricks solving and how is that benefiting you?** Pulling in all our data to a unified platform and ability to govern and collaborate **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping you pull all your data into a unified platform and enabling governance and collaboration. ### 31. Everything in One Place—and Keeps Getting Better **Rating:** 5.0/5.0 stars **Reviewed by:** Michael C. | Director Of Software Development, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Love how everything is in one place and keeps improving **What do you dislike about Databricks?** Takes to long for thing to become HIPAA compliant **What problems is Databricks solving and how is that benefiting you?** It provides a single location to query data across our enterprise **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive feedback about Databricks! We're thrilled to hear that you appreciate having everything in one place and notice the continuous improvements. If you have any specific questions or need further assistance, please feel free to reach out to our support team. We value your feedback and are committed to providing a seamless experience for querying data across your enterprise. Thank you for choosing Databricks! ### 32. A Powerful All-in-One Solution **Rating:** 5.0/5.0 stars **Reviewed by:** Andrew H. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I love how it’s an all in one solution and serves my team well **What do you dislike about Databricks?** I’m looking forward to the AI solutions becoming more mature **What problems is Databricks solving and how is that benefiting you?** Business intelligence and AI deployment **Official Response from Jess Darnell:** > We're glad to hear that Databricks is serving your team well as an all-in-one solution. We're continuously working on improving our AI solutions to better meet your needs. ### 33. MLflow Delivers a Great Experience. **Rating:** 5.0/5.0 stars **Reviewed by:** Ram C. | Automation CoE Program Manager & Operations Leader, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** ML flow, Agent Bricks, Lakebase and other offerings **What do you dislike about Databricks?** Databricks apps needs maturity especially while custom react ui needs authentication multiple times which isnt a good user experience **What problems is Databricks solving and how is that benefiting you?** AI governance **Official Response from Jess Darnell:** > We're thrilled to hear that you're benefiting from our AI governance solutions. We value your feedback about the Databricks apps and the custom react UI, and we'll use it to continue improving our platform. ### 34. cloud operational leader Highly Scalable and Built to Grow and make more reliable **Rating:** 5.0/5.0 stars **Reviewed by:** Bhandan K. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It’s very scalable, cost effectively and make life more easy **What do you dislike about Databricks?** I don’t like to using rdbms system to Martian catalogs. I don’t like Databrick so many plugin **What problems is Databricks solving and how is that benefiting you?** Data analysis. **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks highly scalable and cost-effective. We're constantly working to improve our platform and appreciate your feedback about the RDBMS system and plugins. Your input helps us make Databricks even better for our users. ### 35. SDP and Unity Catalog Shine, Delivering Strong Value **Rating:** 4.5/5.0 stars **Reviewed by:** Yuan Li Y. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The best I like is the SDP and Unity Catalog **What do you dislike about Databricks?** Maybe the high DBU cost and the UI to manage my pipelines **What problems is Databricks solving and how is that benefiting you?** The data exploring and the data governance. **Official Response from Janelle Glover:** > We're glad to hear that you are enjoying the SDP and Unity Catalog features of Databricks. We appreciate your feedback on the DBU cost and UI for pipeline management, and we are constantly working to improve in these areas. ### 36. Fast, Secure, and Reliable **Rating:** 5.0/5.0 stars **Reviewed by:** Bin D. | Research Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Fast and secure, cost-effective, and it gets the job done. **What do you dislike about Databricks?** There is some steep learning curve to learn and development **What problems is Databricks solving and how is that benefiting you?** Databricks solve the model tracking and deployment via MLflow. **Official Response from Janelle Glover:** > Thank you for your feedback! We're pleased that Databricks is helping you with model tracking and deployment through MLflow. We're continuously working to improve our platform and make the learning curve more manageable. ### 37. Love the Data Ingestion **Rating:** 5.0/5.0 stars **Reviewed by:** Esteban R. | Student Tutor; Math and Physics, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Data ingestion—I love it so much, and I can’t stop. **What do you dislike about Databricks?** nothing it’s perfect in every way i can think of **What problems is Databricks solving and how is that benefiting you?** I like to ingest data using the native connectors **Official Response from Aunalisa Arellano:** > "Perfect in every way I can think of"?!? What a great compliment! Thank you so much for taking the time to leave a review. It really means to much to us. Thanks for partnering with Databricks. ### 38. Easy to Use with Powerful Features and Smooth Power BI Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Jeremy D. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Ease of use, features that work well, easy to bring in data and integrate with Power BI. **What do you dislike about Databricks?** Takes a bit of configuration to get setup. **What problems is Databricks solving and how is that benefiting you?** Backend for app development **Official Response from Janelle Glover:** > We're thrilled to hear that Databricks is meeting your needs with its ease of use, powerful features, and seamless integration with Power BI. We understand that setup may require some configuration, and we're continuously working to streamline this process for our users. ### 39. Amazing Ecosystem That Unifies Data—Plus Excellent Free Training **Rating:** 5.0/5.0 stars **Reviewed by:** Michelle H. | Data associate, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The ecosystem brings data together and makes it usable. **What do you dislike about Databricks?** Nothing to complain about—everything is amazing, especially the free training. **What problems is Databricks solving and how is that benefiting you?** Our whole company is becoming more data-centric thanks to Databricks. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with our ecosystem and training. We're glad to hear that it's benefiting your company. ### 40. Strong Compute and Governance Capabilities **Rating:** 4.5/5.0 stars **Reviewed by:** rajeev s. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Ease of use and compute flexibility options are great **What do you dislike about Databricks?** Serverless architecture has privacy concerns from customers. Allocated capacity vs used capacity often has huge delta. **What problems is Databricks solving and how is that benefiting you?** Mostly around automotive domain **Official Response from Janelle Glover:** > Thank you for your feedback! We're pleased that you find our compute flexibility options and ease of use to be beneficial. We take your concerns about privacy and capacity allocation seriously and are continuously working to address these issues. ### 41. Makes AI Initiatives Easy for Companies **Rating:** 5.0/5.0 stars **Reviewed by:** Ian F. | Client Leader, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** How it makes it easy for companies to meet AI initiatives **What do you dislike about Databricks?** I don’t really have any negatives to say about DBX **What problems is Databricks solving and how is that benefiting you?** Really any AI solution within the energy industry **Official Response from Aunalisa Arellano:** > Thank you for your positive feedback! We're thrilled to hear that you don't have any negatives to say about Databricks. Thank you so much for taking the time to leave a review! It means so much to us. ### 42. Low/No-Code Made It Easy to Build Without Dev Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Michael A. | Geospatial-Intelligence Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Moving to low or no code usage helps those without dev experience. **What do you dislike about Databricks?** Growing too fast for me to keep up with. **What problems is Databricks solving and how is that benefiting you?** Organizing data in a meaningful way for customers. **Official Response from Aunalisa Arellano:** > We're thrilled to hear that you find Databricks helpful for building without dev experience! We understand that keeping up with rapid growth can be challenging, but we're here to support you every step of the way. Our team is dedicated to ensuring a seamless experience for all users. If you have any specific concerns or need assistance with navigating our platform, please don't hesitate to reach out. We appreciate your feedback and look forward to continuing to provide you with valuable solutions for organizing data effectively. Thank you for choosing Databricks! ### 43. Strong End-to-End AI Vision, but Enterprise Feedback and Model Cards Need Work **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Entertainment | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks showcases commitment about solving AI needs end to end from the data layers to the actual interaction patterns with the app outputs as well. **What do you dislike about Databricks?** With the scale of Databricks, it’s harder to see product feedback incorporated from our enterprise teams. Additionally, it would be useful to have data and model cards. **What problems is Databricks solving and how is that benefiting you?** Helping to ship AI products for revenue and engagement based products features for PlayStation. **Official Response from Jess Darnell:** > We're glad to hear that Databricks is helping you ship AI products for revenue and engagement. We understand your concerns about product feedback from enterprise teams and the need for data and model cards. Your input is valuable and will be considered for future enhancements. ### 44. Easy to Use, with Sensible SQL Semantics **Rating:** 4.0/5.0 stars **Reviewed by:** Ayman E. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Easy to use, with sensible semantics for the underlying SQL. **What do you dislike about Databricks?** The semantic layer with metric view is very limited and doesn't handle semantic aggregates **What problems is Databricks solving and how is that benefiting you?** Just enabling other users **Official Response from Jess Darnell:** > We appreciate your positive feedback about Databricks being easy to use and having sensible SQL semantics. We understand your concerns about the limited semantic layer and handling of semantic aggregates, and we are committed to addressing these issues to enhance the platform for all our users. ### 45. Great tech that brings everything together, but costs can add up fast **Rating:** 3.0/5.0 stars **Reviewed by:** Naveen S. | Associate Software Engineer - Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Tech is the main positive. Bringing multiple things together **What do you dislike about Databricks?** The cost for each if is something that gows up so fast **What problems is Databricks solving and how is that benefiting you?** Less code, less interaction with the engineers. **Official Response from Janelle Glover:** > Thank you for sharing your feedback. We're pleased that our technology has helped you with less code and less interaction with engineers. We understand the importance of cost and are continuously working to optimize our pricing structure. ### 46. A Unified Vision of Data **Rating:** 5.0/5.0 stars **Reviewed by:** Alessandro G. | Enterprise (> 1000 emp.) **Reviewed Date:** June 18, 2026 **What do you like best about Databricks?** Unified vision of data, strong data governance **What do you dislike about Databricks?** Nothing, I full appreciate Databricks product **What problems is Databricks solving and how is that benefiting you?** Bringing all the data in One single place and è dure governance and trustability **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping to bring all your data into one place and providing strong governance and trustability. We're dedicated to solving data management challenges for our users. ### 47. Unified Platform That Simplifies Everything **Rating:** 3.5/5.0 stars **Reviewed by:** Chirag S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** A unified platform that helps streamline data ETL and AI workflows. **What do you dislike about Databricks?** Though Databricks is optimal, we struggle with the learning curve **What problems is Databricks solving and how is that benefiting you?** AI roadmap, cleaner solution for our clients **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks helpful in streamlining your data ETL and AI workflows. We understand that the learning curve can be challenging, and we're continuously working to improve our resources and support to make the onboarding process smoother for our users. ### 48. Databricks Usage Review **Rating:** 5.0/5.0 stars **Reviewed by:** harshit m. | Sr Consultant Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Databricks?** Databricks provides a common integrated platform for data engineering , SQL and ML **What do you dislike about Databricks?** Job orchestration for creating workflows **What problems is Databricks solving and how is that benefiting you?** Create a interface to mange code and clusters for spark **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks is helping you manage code and clusters for Spark. We're committed to continuously improving our platform to better meet your needs. ### 49. Data Catalog **Rating:** 5.0/5.0 stars **Reviewed by:** takeru w. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Ensure data uniqueness through the data catalog. **What do you dislike about Databricks?** The required speed for front-office trading operations cannot be achieved. **What problems is Databricks solving and how is that benefiting you?** Global system integration and data catalog management should be considered together. **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping with global system integration and data catalog management. We're sorry to hear about the speed issue for front-office trading operations. We'll pass this feedback along to our team. ### 50. Simplifies Data Engineering and Makes Adoption Easy **Rating:** 5.0/5.0 stars **Reviewed by:** Mrutyumjaya Prasad B. | Principal Data & AI Architect, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Simplify data engineering experience and easy adoption for business to use via geni **What do you dislike about Databricks?** New upgrades and don’t have in place upgrade **What problems is Databricks solving and how is that benefiting you?** Remove data silos and build trusted data **Official Response from Janelle Glover:** > We're glad to hear that Databricks is simplifying data engineering for your team and making adoption easier through Genie. Our goal is to provide businesses with a user-friendly experience that enables them to use their data effectively. ## Databricks Discussions - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments - [View Databricks pricing details and edition comparison](https://www.g2.com/products/databricks/reviews?page=52&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-07-10+13%3A18%3A22+-0500&secure%5Bsession_id%5D=61e58325-4995-4884-bf0f-3de515bad337&secure%5Btoken%5D=a76129a2a71022dba7024df0ee57dee9464525b6ec3ecd11f963a11f54537993&format=llm_user) ## Databricks Integrations - 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[SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Spark](https://www.g2.com/products/apache-spark/reviews) - [Spark SQL](https://www.g2.com/products/spark-sql/reviews) - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [Workday HCM](https://www.g2.com/products/workday-hcm/reviews) ## Databricks Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Management** - Reporting - Auditing **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Scalability and Performance - Generative AI Infrastructure** - AI High Availability - AI Model Training Scalability - AI Inference Speed **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Traffic Management & Performance - AI Gateways** - Token-Aware Rate Limiting - Semantic Caching - Multi-Model Routing & Fallbacks **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Security** - Access Control - Roles Management - Compliance Management **Operations** - Metrics - Infrastructure management - Collaboration **Analytics** - Analytics capabilities - Dasboard visualizations **Cost and Efficiency - Generative AI Infrastructure** - AI Cost per API Call - AI Resource Allocation Flexibility - AI Energy Efficiency **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation **Governance & Observability - AI Gateways** - Data Privacy - Cost Tracking - Centralized API Key Security **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - On-Premise - Cloud **Security** - Data Encryption - User Access Control **Maintainence** - Data Quality Management - Policy Management **Management** - Cataloging - Monitoring - Governing **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Integration and Extensibility - Generative AI Infrastructure** - AI Multi-cloud Support - AI Data Pipeline Integration - AI API Support and Flexibility **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Security and Compliance - Generative AI Infrastructure** - AI GDPR and Regulatory Compliance - AI Role-based Access Control - AI Data Encryption **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Generative AI** - AI Text Generation - AI Text Summarization **Usability and Support - Generative AI Infrastructure** - AI Documentation Quality - AI Community Activity **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **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 Databricks Alternatives - [Cloudera](https://www.g2.com/products/cloudera/reviews) - 4.1/5.0 (131 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (708 reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - 4.3/5.0 (357 reviews)