--- title: Databricks Reviews meta\_title: 'Databricks Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 1365 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: 1365 scale: '5' date\_modified: '2026-08-11' parent\_category: name: Big Data url: https://www.g2.com/categories/big-data --- ### Databricks Pros and Cons: Top 5 Advantages and Disadvantages #### Quick AI Summary Based on G2 Reviews Generated from real user reviews Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications. [(192 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1559079&qs=pros-and-cons#reviews) Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services. [(154 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1558560&qs=pros-and-cons#reviews) Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency. [(141 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1556666&qs=pros-and-cons#reviews) Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights. [(114 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1557614&qs=pros-and-cons#reviews) Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization. [(112 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1556787&qs=pros-and-cons#reviews) Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability. [(78 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1555470&qs=pros-and-cons#reviews) Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects. [(71 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1559029&qs=pros-and-cons#reviews) Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools. [(64 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1556681&qs=pros-and-cons#reviews) Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes. [(45 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1556566&qs=pros-and-cons#reviews) Users face **complex setup** challenges initially, though support helps simplify the experience over time. [(35 mentions)](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1554630&qs=pros-and-cons#reviews) ### 5 Pros or Advantages of Databricks ##### 1. Features Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications. [ See 192 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1559079&qs=pros-and-cons#reviews) See Related User Reviews ![taka b.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "taka b.") TB taka b. Enterprise (\> 1000 emp.) 5.0/5 "I love databricks" What do you like about Databricks? What I like best about Databricks is its seamless integration of big data processing and AI. The notebook-based interface makes collaboration easy, an ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") U Verified User Enterprise (\> 1000 emp.) 5.0/5 "Best data all in one solution" What do you like about Databricks? Pyspark, Delta lake, The way that it integrates seamlessly with AWS services and how they managed to open source everything. It provides a great manag ##### 2. Ease of Use Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services. [ See 154 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1558560&qs=pros-and-cons#reviews) See Related User Reviews ![harshit m.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "harshit m.") HM harshit m. Enterprise (\> 1000 emp.) 5.0/5 "Databricks Usage Review" What do you like about Databricks? Databricks provides a common integrated platform for data engineering , SQL and ML ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") U Verified User Enterprise (\> 1000 emp.) 5.0/5 "Best data all in one solution" What do you like about Databricks? Pyspark, Delta lake, The way that it integrates seamlessly with AWS services and how they managed to open source everything. It provides a great manag ##### 3. Integrations Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency. [ See 141 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1556666&qs=pros-and-cons#reviews) See Related User Reviews ![harshit m.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "harshit m.") HM harshit m. Enterprise (\> 1000 emp.) 5.0/5 "Databricks Usage Review" What do you like about Databricks? Databricks provides a common integrated platform for data engineering , SQL and ML ![taka b.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "taka b.") TB taka b. Enterprise (\> 1000 emp.) 5.0/5 "I love databricks" What do you like about Databricks? What I like best about Databricks is its seamless integration of big data processing and AI. The notebook-based interface makes collaboration easy, an ##### 4. Collaboration Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights. [ See 114 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1557614&qs=pros-and-cons#reviews) See Related User Reviews ![taka b.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "taka b.") TB taka b. Enterprise (\> 1000 emp.) 5.0/5 "I love databricks" What do you like about Databricks? What I like best about Databricks is its seamless integration of big data processing and AI. The notebook-based interface makes collaboration easy, an ![Monazah S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Monazah S.") MS Monazah S. Small-Business (50 or fewer emp.) 4.0/5 "Unified Platform Enhances Data Collaboration and Processing" What do you like about Databricks? I like the Databricks Data Intelligence Platform because it's a unified, scalable platform for data engineering, analytics, and collaboration. It simp ##### 5. Analytics Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization. [ See 112 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1556787&qs=pros-and-cons#reviews) See Related User Reviews ![Ajay Kumar P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ajay Kumar P.") AP Ajay Kumar P. Small-Business (50 or fewer emp.) 4.5/5 "Driving AI and Data Innovation with a Unified Databricks Platform" What do you like about Databricks? I use Databricks for ETL, Reporting, and AI, and I appreciate that it works as one unified solution for all data and AI needs. It makes it easier to t FE Farzad E. Enterprise (\> 1000 emp.) 5.0/5 "Report 1100" What do you like about Databricks? I started with databricks 6 years ago and received more than 10 certifications. I liked a lot data analytics and fast calculations features of databri ### 5 Cons or Disadvantages of Databricks ##### 1. Learning Curve Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability. [ See 78 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1555470&qs=pros-and-cons#reviews) See Related User Reviews ![Senthil K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Senthil K.") SK Senthil K. Enterprise (\> 1000 emp.) 4.5/5 "Databricks Genie Code - Agentic Applied AI for end-end SDL liefecycle" What do you dislike about Databricks? Hope it can be improved in next update - Debugging issues in complex workflows can be time-consuming due to limited visibility into intermediate da ![Shubham D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shubham D.") SD Shubham D. Enterprise (\> 1000 emp.) 4.0/5 "AI Integration with the Data Lakehouse Made Databricks a Clear Choice" What do you dislike about Databricks? Databricks is more complex than spark therefore it takes more efforts to fine tune it as per business usecase ##### 2. Expensive Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects. [ See 71 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1559029&qs=pros-and-cons#reviews) See Related User Reviews ![taka b.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "taka b.") TB taka b. Enterprise (\> 1000 emp.) 5.0/5 "I love databricks" What do you dislike about Databricks? One downside is that the initial setup and networking configuration can be complex and require technical expertise. Also, the cost can scale up quickl ![Guido D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Guido D.") GD Guido D. Mid-Market (51-1000 emp.) 4.0/5 "the unified data platform" What do you dislike about Databricks? Maybe costs for customers sometimes are high ##### 3. Steep Learning Curve Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools. [ See 64 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1556681&qs=pros-and-cons#reviews) See Related User Reviews ![Senthil K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Senthil K.") SK Senthil K. Enterprise (\> 1000 emp.) 4.5/5 "Databricks Genie Code - Agentic Applied AI for end-end SDL liefecycle" What do you dislike about Databricks? Hope it can be improved in next update - Debugging issues in complex workflows can be time-consuming due to limited visibility into intermediate da ![Shubham D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shubham D.") SD Shubham D. Enterprise (\> 1000 emp.) 4.0/5 "AI Integration with the Data Lakehouse Made Databricks a Clear Choice" What do you dislike about Databricks? Databricks is more complex than spark therefore it takes more efforts to fine tune it as per business usecase ##### 4. Complexity Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes. [ See 45 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1556566&qs=pros-and-cons#reviews) See Related User Reviews ![Shubham D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shubham D.") SD Shubham D. Enterprise (\> 1000 emp.) 4.0/5 "AI Integration with the Data Lakehouse Made Databricks a Clear Choice" What do you dislike about Databricks? Databricks is more complex than spark therefore it takes more efforts to fine tune it as per business usecase VD Vishal D. Small-Business (50 or fewer emp.) 4.0/5 "Databricks -Scalable Data" What do you dislike about Databricks? 1. Customer support quality depends on the support tier purchased. 2. Too many advanced features can feel overwhelming for smaller teams. 3. Ini ##### 5. Complex Setup Users face **complex setup** challenges initially, though support helps simplify the experience over time. [ See 35 mentions ](https://www.g2.com/products/databricks/reviews?filters%5Bsentiment_snippet%5D=1554630&qs=pros-and-cons#reviews) See Related User Reviews ![taka b.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "taka b.") TB taka b. Enterprise (\> 1000 emp.) 5.0/5 "I love databricks" What do you dislike about Databricks? One downside is that the initial setup and networking configuration can be complex and require technical expertise. Also, the cost can scale up quickl ![KL T.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "KL T.") KT KL T. Enterprise (\> 1000 emp.) 5.0/5 "Easy to deliver to prod yet coat control may be challenging" What do you dislike about Databricks? Cost control can be challenging due to the complexity of the pricing model. Need a single pane of glass to monitor cost and have suggestions for opti ![ANIKET S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "ANIKET S.") AS ANIKET S. Student Mid-Market (51-1000 emp.) 12/19/2025 "Unified, User-Friendly Platform That Accelerates Data Insights" 4.5/5 What do you like best about Databricks? What I like best about the Databricks Data Intelligence Platform is how it brings everything data engineering, analytics, and machine learning together in one unified environment. It’s very user-friendly despite being powerful, and it makes collaboration between technical and non-technical teams much easier. The platform handles large volumes of data efficiently, scales smoothly, and integrates well with cloud services, which saves a lot of time and effort. Overall, it helps turn raw data into meaningful insights faster without making the process overly complex. Review collected by and hosted on G2.com. What do you dislike about Databricks? One thing I dislike about the Databricks Data Intelligence Platform is that it can feel complex and overwhelming for new users, especially those without a strong technical background. The learning curve is quite steep, and it takes time to fully understand how to use all the features effectively. Additionally, the pricing can become expensive as usage scales, and cost management isn’t always very transparent. Sometimes, debugging errors or performance issues can also be challenging, particularly in large or highly integrated workflows. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks Data Intelligence Platform solves the problem of working with fragmented data systems by bringing data engineering, analytics, and machine learning into a single, unified platform. Instead of managing multiple tools, everything is available in one place, which reduces complexity and data silos. This benefits me by saving time, improving collaboration across teams, and enabling faster access to reliable insights. It also handles large-scale data processing efficiently, allowing better decision-making based on real-time and accurate data rather than delayed or incomplete information. Review collected by and hosted on G2.com. Show More Response from Janelle Glover of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-12120969/official_response/edit) Thank you for highlighting the benefits of the Databricks Data Intelligence Platform in solving the challenges of fragmented data systems. We are committed to providing a unified platform that saves time, improves collaboration, and enables faster access to reliable insights. We also appreciate your feedback about the learning curve and pricing concerns. We are constantly working to improve user experience and transparency, and your input is valuable in that process. Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller ![PRATYUSH A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "PRATYUSH A.") PA PRATYUSH A. Student and researcher Small-Business (50 or fewer emp.) 12/13/2025 "Unified Data Platform That Simplifies Complex Workflows" 4/5 What do you like best about Databricks? What I like best about Databricks is how it brings data engineering, analytics, and machine learning together on one platform. Having a unified environment built around Apache Spark makes collaboration between data teams much easier. The Lakehouse approach works well because it removes the need to move data across multiple tools. Performance is strong for large datasets, and notebooks make experimentation, analysis, and collaboration more efficient. Overall, it simplifies complex data workflows while still being powerful. Review collected by and hosted on G2.com. What do you dislike about Databricks? The main downside is the cost and complexity for new users. Pricing can be hard to predict, especially when workloads scale unexpectedly, and compute costs can rise quickly if not monitored closely. There is also a learning curve for teams that are not already familiar with Spark or cloud-based data platforms. Some advanced configurations and optimizations require experienced resources, which can slow adoption for smaller or less mature data teams. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks helps us solve the problem of working with large, fragmented datasets across different tools and teams. Earlier, data engineering, analytics, and machine learning were handled in separate systems, which created silos and slowed down insights. With Databricks, we can process, analyze, and model data on a single platform, which improves collaboration and reduces data movement. From a business perspective, it helps us generate insights faster, scale analytics as data grows, and improve data reliability. This leads to quicker decision-making, more consistent reporting, and better use of data for forecasting and optimization, while reducing operational overhead. Review collected by and hosted on G2.com. Show More Response from Janelle Glover of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-12086967/official_response/edit) It's great to hear that Databricks has helped streamline your data workflows and improve collaboration across teams. We recognize the challenges around cost, complexity, and the learning curve, and we are dedicated to addressing these concerns to ensure a more seamless experience for all users. Thank you for your valuable feedback. Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller JA Juan A. CEO Mid-Market (51-1000 emp.) 11/27/2025 "It is a very expensive cloud stack but it does deliver the right performance along with it" 4.5/5 What do you like best about Databricks? Databricks Data Intelligence Platform is very reliable and that is nice to know that cloud native architecture did not go down right after I deployed it on kubernetes. Honestly, I thought the python/r integration would be busted so that was a shock to find that both ran with out any lag. Review collected by and hosted on G2.com. What do you dislike about Databricks? Those license prices are criminal for what you receive. Additionally, the “cas server” management of the product has been an absolute pain to try and figure out. I spent two hours just trying to understand how to use the sessions. There is no straight shot of getting help from the documentation or google. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? That saves me from having to load up heavy software onto my laptop because it loads into the browser. I am able to at least somewhat manage the inventory information without opening 10 different tabs. Review collected by and hosted on G2.com. Show More Response from Aunalisa Arellano of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-12019044/official_response/edit) We appreciate your feedback on the reliability and performance of our platform. We understand your frustration with the pricing and product management challenges. Your input will help us in making necessary improvements to better serve our customers. Current UserValidated ReviewerIncentivizedSource: Seller invite ![Rahul D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rahul D.") RD Rahul D. Program Analyst Enterprise (\> 1000 emp.) 12/18/2025 "All-in-One Data Platform with Seamless Integration and Top Performance" 5/5 What do you like best about Databricks? I like how Databricks brings data engineering, analytics, and AI into a single platform. The Spark and Delta Lake integration is seamless, performance is excellent, and collaboration through notebooks is very smooth. Its tight integration with Azure services also makes data pipelines, security, and scaling much easier. Review collected by and hosted on G2.com. What do you dislike about Databricks? The main downside is the cost, especially when running large or long-running workloads. Debugging complex Spark jobs can also be challenging at times, and fine-tuning performance often requires a good understanding of Spark internals. Review collected by and hosted on G2.com. 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 data engineering, analytics, and AI. It reduces pipeline complexity, improves performance, and enables faster development and collaboration, helping us deliver reliable data solutions with less operational overhead. Review collected by and hosted on G2.com. Show More Response from Janelle Glover of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-12113037/official_response/edit) It's great to hear that Databricks Data Intelligence Platform is helping you solve the challenge of processing and managing large-scale data efficiently. We acknowledge the concerns about cost and debugging complex Spark jobs, and we are actively working on improvements to address these issues. Current UserValidated ReviewerIncentivizedSource: G2 invite SM Sravya M. Data Engineer Enterprise (\> 1000 emp.) 1/6/2026 "Why I love Databricks" 4.5/5 What do you like best about Databricks? I like the integration between Spark, Delta Lake, and notebooks, which helps optimize and scale data pipelines. And the other feature that I love is the different cluster options that we have, which are really easy to tune for cost and performance. Review collected by and hosted on G2.com. What do you dislike about Databricks? Debugging complex Spark jobs and understanding some of the optimization features is a time taking process in Databricks, is what I think. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? We basically get data into our catalogs in Databricks. The Databricks here allow us to perform many transformations and create different data products for the end user. Not just the data products, there are many other benefits like the ease of workspace, notebooks, and the cluster configuration. Review collected by and hosted on G2.com. Show More Response from Janelle Glover of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-11675053/official_response/edit) Thank you for sharing what you like best about the Databricks Data Intelligence Platform. We appreciate your feedback on the challenges you've faced with debugging and optimization. We are committed to addressing these issues and enhancing the platform to provide a better user experience. Current UserValidated ReviewerIncentivizedSource: G2 invite VD Vishal D. Sales Manager Small-Business (50 or fewer emp.) 1/13/2026 "Databricks -Scalable Data" 4/5 What do you like best about Databricks? 1. Easy for data teams once set up; notebooks, SQL, and dashboards work smoothly in one place. 2. Used frequently for data engineering, analytics, and ML workloads. 3. Implementation is structured and scalable, especially on cloud environments. Review collected by and hosted on G2.com. What do you dislike about Databricks? 1. Customer support quality depends on the support tier purchased. 2. Too many advanced features can feel overwhelming for smaller teams. 3. Initial setup and architecture planning take time and skilled resources. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? 1. Helps me make faster, data-driven decisions with scalable and trusted data pipelines. 2. Handles large data volumes reliably, supporting daily and recurring workloads. 3. Reduces time spent managing infrastructure so I can focus on insights and outcomes. Review collected by and hosted on G2.com. Show More Response from Janelle Glover of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-12075590/official_response/edit) It's great to hear that Databricks is helping you make faster, data-driven decisions and reducing time spent on infrastructure management. We appreciate your feedback on our customer support, the initial set up, and the learning curve of our advanced features and will take these items into consideration as we continuously work to enhance our user experience. Current UserValidated ReviewerIncentivizedSource: G2 invite OJ Omar J. Full Stack Web Developer Small-Business (50 or fewer emp.) 8/26/2025 "It's super handy for analytics, scales well, and you can easily rely on it." 4/5 What do you like best about Databricks? The best thing about Databricks is that it very easily consolidates data engineering, data science, and analytics – all in one place Therefore, I can process huge data sets quickly, run very complex machine learning operations, all without switching tools. Collaboration through notebooks with my team in real-time really reduced a lot of back and forth that I used to have. Review collected by and hosted on G2.com. What do you dislike about Databricks? The big issue is pricing can quickly ramp up if I’m not careful with cluster size or if I forget to turn them off. I had to learn how to use some of the more advanced features, like Unity Catalog and MLflow connectors if I was to use them well. The only thing I would add is an easy interface, like in some BI products. It may be overwhelming for the newbie. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? I can construct fraud detection models, run queries over billions of rows, and test proof-of-concepts for clients all on one platform. This cost me days in setting work up. Huge workloads on peak hours will not slow me down as I can scale my computing power instantly. This is why I think Databricks gives me more freedom to play around with data models and machine learning at scale as compared to Snowflake or any other alternative. Review collected by and hosted on G2.com. Show More Response from Aunalisa Arellano of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-11599629/official_response/edit) We're glad to hear that you find Databricks Data Intelligence Platform handy for analytics and that it consolidates data engineering, data science, and analytics in one place. We understand your concern about pricing and the learning curve for advanced features. We appreciate your feedback and will continue to work on improving the user experience and pricing. Current UserValidated ReviewerIncentivizedSource: Seller invite ![Amit K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Amit K.") AK Amit K. Build Connx Small-Business (50 or fewer emp.) 8/8/2025 "Great platform for big data and ML, with some learning curve" 4.5/5 What do you like best about Databricks? What I really like about Databricks is how it brings everything—data engineering, analytics, and machine learning—into one place. It saves a lot of time when switching between workflows. The collaborative notebooks are super handy when working with a team, and the Spark integration just works without much hassle. Delta Lake is also a plus—being able to manage large datasets with versioning and ACID support is honestly a lifesaver in production scenarios. Review collected by and hosted on G2.com. What do you dislike about Databricks? The platform can feel a bit intimidating at first, especially if you're new to big data tools. Setting up clusters and understanding the pricing model took me a while. Also, the UI sometimes lags when you're dealing with large notebooks or switching between multiple tabs. I wish the onboarding was a bit more beginner-friendly Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks helps us streamline our entire data pipeline — from ingestion to analytics to machine learning. Earlier, managing large-scale datasets and running ML models used to be fragmented across tools, but Databricks made it way smoother. It saves us a lot of dev time and reduces the friction between data engineering and data science teams. Having everything in one place also makes debugging and scaling much easier. Review collected by and hosted on G2.com. Show More Response from Aunalisa Arellano of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-11513577/official_response/edit) We're glad to hear that you're enjoying the comprehensive features of Databricks, including the seamless integration of data engineering, analytics, and machine learning. The collaborative notebooks and Delta Lake capabilities are designed to enhance productivity and efficiency. Current UserValidated ReviewerSource: G2 invite on behalf of seller ![Abhi J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Abhi J.") AJ Abhi J. Software Developer Mid-Market (51-1000 emp.) 7/24/2025 "Unlocking Scalable Data Insights with Databricks" 5/5 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Response from Aunalisa Arellano of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-11427392/official_response/edit) 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. 8/4/2025 Current UserValidated ReviewerSource: G2 invite on behalf of seller ![ILCHO I.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "ILCHO I.") II ILCHO I. expert buyer Airlines/Aviation Enterprise (\> 1000 emp.) 10/16/2025 "Powerful Unified Platform for Data and AI, but Complex Setup and Costly for Continuous Use" 5/5 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Response from Aunalisa Arellano of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-11821725/official_response/edit) 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. Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. 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