--- title: Databricks Reviews meta_title: 'Databricks Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 1363 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: 1363 scale: '5' date_modified: '2026-08-08' 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:** 1,363 ## About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, 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 praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications. (192 reviews) - Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services. (154 reviews) - Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency. (141 reviews) - Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights. (114 reviews) - Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization. (112 reviews) - Scalability (111 reviews) - ML Integration (106 reviews) - Users appreciate the **easy integrations** of Databricks, seamlessly connecting with cloud infrastructure and enhancing data management. (102 reviews) - Machine Learning (97 reviews) - Users value the **effective data management features** of Databricks, simplifying their workflows and enhancing decision-making. (87 reviews) **What users dislike:** - Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability. (78 reviews) - Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects. (71 reviews) - Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools. (64 reviews) - Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes. (45 reviews) - Users face **complex setup** challenges initially, though support helps simplify the experience over time. (35 reviews) - Performance Issues (34 reviews) - Users face **unintuitive UI issues** that lead to random errors and complicate the experience for non-technical users. (34 reviews) - Poor UI Design (33 reviews) - Users express frustration over **missing features** in Databricks, limiting its effectiveness for complex deployments and custom setups. (31 reviews) - Cost (29 reviews) ## Databricks Reviews ### 1. Great Partner for Projects with an Incredible Unity Catalog **Rating:** 4.5/5.0 stars **Reviewed by:** Bradford D. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** They’ve been a great partner on a number of projects. Unity Catalog is an incredible offering and their contributions to OSS are a incredible. **What do you dislike about Databricks?** They are definitely enterprise-grade, which includes cost. **What problems is Databricks solving and how is that benefiting you?** Governance is something everyone needs but no one wants to spend the time on. DBRX makes it something easy to prioritize. **Official Response from Janelle Glover:** > We're thrilled to hear that you've had a great experience partnering with us on your projects and that you find Unity Catalog beneficial. We understand that enterprise-grade solutions can come with higher costs, and we're continually working to deliver value to our customers. ### 2. Ease in Azure Integration, Powerful Data Insights **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 like the ease of setup and use of Databricks within Azure. It makes my life easier since my entire data ecosystem is in Azure, and it's great to have everything under one umbrella or cloud. Databricks simplifies the process of bringing multiple formats of data into better insight, which is incredibly beneficial for my needs. **What do you dislike about Databricks?** Option for different SKUs and more GPU. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to bring multiple formats of data into better insight. It's easy to set up on Azure, making my data ecosystem work seamlessly together. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks Azure! We're thrilled to hear that the ease of setup and integration has made managing your data ecosystem more efficient. We appreciate your feedback on the desire for more SKU options and GPU capabilities. Your input is valuable as we continuously work to enhance our services. If you have any specific requirements or suggestions, please feel free to reach out to our support team. We're here to help and ensure that Databricks continues to meet your needs for powerful data insights. ### 3. Effortless Data Unification with Databricks and Lakebase **Rating:** 5.0/5.0 stars **Reviewed by:** Wiliam R. | SR Data Engineer - Tech Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2026 **What do you like best about Databricks?** I like the ability to unify data engineering with Databricks. The lakehouse feature is especially helpful in my solutions, with persistent memory offering the most value. The initial setup was easy. **What do you dislike about Databricks?** Databricks could improve governance troubleshooting and simplify operational aspects. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to build scalable data engineering, AI, and data governance solutions. It helps unify data engineering and supports standards validation, permissions management, and persistent memory. **Official Response from Jess Darnell:** > Thank you for sharing what you like best about Databricks, including the ability to unify data engineering and the value of the lakehouse feature and persistent memory. We understand your feedback on governance troubleshooting and operational aspects, and we're committed to addressing those areas for improvement. ### 4. Fast and Efficient MLOps with Databricks, But AI Costs Need Optimization **Rating:** 5.0/5.0 stars **Reviewed by:** Kapil G. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like that Databricks is fast and that it connects really well with the data. The initial setup was very quick, which was impressive. **What do you dislike about Databricks?** The cost to use AI could be optimized using Databricks. **What problems is Databricks solving and how is that benefiting you?** Databricks solves my MLOps problems by letting me check the data grid, schedule models, and maintain them. **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks fast and efficient for your MLOps needs. We understand your concern about AI costs and are constantly working to optimize our platform for cost-effectiveness. ### 5. Databricks Genie and AgentBricks Make “Talk to Data” Easy **Rating:** 5.0/5.0 stars **Reviewed by:** Nirbhay S. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 28, 2026 **What do you like best about Databricks?** In databricks I like genie and agentbricks that help me to solve business process as talk to data **What do you dislike about Databricks?** I think all the functionality works as expected for me. **What problems is Databricks solving and how is that benefiting you?** It’s mainly about giving my business users more flexibility to talk directly to the data and run their own analysis without needing to know SQL. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with Genie and AgentBricks. We're committed to providing tools that make data analysis more accessible for business users. ### 6. Powerful Data Engineering with Easy Setup, Pricing Could Improve **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like Databricks for its performance and scalability, which are really important for my work in data engineering at scale. I also appreciate the agentic data science support it offers. The use of open-source tools is another great aspect, and it contributes to faster market penetration and analysis. Additionally, the initial setup was easy, which is always a relief. **What do you dislike about Databricks?** pricing predictability **What problems is Databricks solving and how is that benefiting you?** I use Databricks for data engineering at scale, solving revenue predictions problems. Its performance, scalability, agentic data science, and open-source tools enable faster market penetration and analysis. **Official Response from Jess Darnell:** > We appreciate your feedback on the ease of setup, performance, and scalability of Databricks for your data engineering needs. We understand the importance of pricing predictability and are committed to making improvements in this area. Thank you for bringing this to our attention. ### 7. Databricks Makes Collaboration and Production Deployment Seamless **Rating:** 5.0/5.0 stars **Reviewed by:** Matthew M. | Enterprise (> 1000 emp.) **Reviewed Date:** June 15, 2026 **What do you like best about Databricks?** Databricks is a powerful platform that makes it much easier for teams to collaborate and move ideas into production—without things getting lost in endless handoffs or “it worked on my machine” moments. **What do you dislike about Databricks?** This cost of some of the more advanced features **What problems is Databricks solving and how is that benefiting you?** Databricks helps me analyze vast amounts of data with ease **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks to be a powerful platform for collaboration and production deployment. ### 8. Intuitive Analytics with AI Genie, Needs Performance Tweaks **Rating:** 4.0/5.0 stars **Reviewed by:** Irene A. | Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 31, 2026 **What do you like best about Databricks?** I really like the inclusion of the AI Genie into Databricks. It helps to make data analytics easier and more intuitive for me. I am able to query my datasets using natural language, translating it to SQL queries and generating visualizations and insights. **What do you dislike about Databricks?** I would like to have some flexibility around operational complexity and performance tuning. **What problems is Databricks solving and how is that benefiting you?** Databricks helps me fix data duplication and inconsistency with idempotent pipelines. I also use AI Genie to query datasets using natural language, translating into SQL queries and generating visualizations, making analytics easier. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping you address data duplication and inconsistency with pipelines, and that Genie is making it easier to query datasets. Thanks for your feedback! ### 9. Full Support for Data Democratisation, from Genie Spaces to Genie One **Rating:** 5.0/5.0 stars **Reviewed by:** Ana L. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The full support for data democratisation initiatives. Everything from Genie Spaces to Genie One. **What do you dislike about Databricks?** The renaming of products. Makes it harder to communicate and document your work. **What problems is Databricks solving and how is that benefiting you?** We've gone from a legacy streaming pipeline to a SDP which has saved us as much as a day of work a week. **Official Response from Jess Darnell:** > We're glad to hear that you appreciate our support for data democratization through Genie Spaces and Genie One. We understand your concern about the renaming of products and will take this feedback into consideration for future improvements. ### 10. Pay-as-You-Go Pricing That Helps Lower TCO **Rating:** 5.0/5.0 stars **Reviewed by:** Ethan C. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The pay as you go system helps lower TCO over normal cloud services, as long as you design pragmatically. **What do you dislike about Databricks?** Its hard to track costs, and queries and dashboards can take a while to load **What problems is Databricks solving and how is that benefiting you?** Its helping us bring all our data into once space where it can be analyzed holistically **Official Response from Jess Darnell:** > We're glad to hear that you appreciate our pay-as-you-go pricing model for lowering TCO. We understand the importance of designing pragmatically to maximize cost savings. ### 11. Easy to deliver to prod yet coat control may be challenging **Rating:** 5.0/5.0 stars **Reviewed by:** KL T. | Manager, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Databricks?** It shortened the time it takes to deploy a job to production. **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 optimization **What problems is Databricks solving and how is that benefiting you?** We utilized databricks platform to host a cyber threat detection framework **Official Response from Aunalisa Arellano:** > We're glad to hear that Databricks Data Intelligence Platform has helped you shorten the time to deploy a job to production. ### 12. Excellent Resources and Training Sessions **Rating:** 4.0/5.0 stars **Reviewed by:** Jose G. | Cal-in-Sac Fellow: , Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The amount of resources and training sessions. **What do you dislike about Databricks?** It can be a bit pack when trying to attend larger sessions. Not sure if anything can be done to address this but a dislike. **What problems is Databricks solving and how is that benefiting you?** It’s making pipeline creation and job orchestration much easier. Also being able to view tables in one place. **Official Response from Aunalisa Arellano:** > We are thrilled to hear that you enjoyed your time at this year's Data + AI Summit! We completely understand and hear you on the issues with packing for longer conferences. As a habitual overpacker, we recommend utilizing LLMs to create a quick and easy packing guide. We hope to see you next year! Thanks so much for taking the time to leave a review. ### 13. A game changer for handling large data **Rating:** 5.0/5.0 stars **Reviewed by:** Naga Likhita C. | Technical Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** September 10, 2025 **What do you like best about Databricks?** Databricks has made working with massive datasets so much easier for our team. The collaborative notebooks help us share ideas and troubleshoot together, and the platform’s ability to scale means we don’t have to worry about hitting limits. It’s sped up our analytics and machine learning projects, and connecting to different data sources is a breeze. **What do you dislike about Databricks?** The initial setup was a bit confusing, and some of the advanced features could use better documentation. Figuring out the pricing took some time, but once we got going, the benefits were clear. **What problems is Databricks solving and how is that benefiting you?** Databricks is helping me tackle the challenge of working with huge amounts of data for analytics and machine learning. Before using the platform, processing and distributing big datasets was slow and complicated. Now, I can run large-scale data science experiments and build models much faster. The platform’s tools make it easier to collaborate, share results, and turn data into insights that actually help my team make better decisions. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks is helping you tackle the challenge of working with massive datasets for analytics and machine learning. Our goal is to make data processing and collaboration easier, ultimately helping teams make better decisions based on insights. ### 14. A Game-Changer for Data Teams **Rating:** 4.0/5.0 stars **Reviewed by:** Varun T. | Senior Software Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** September 08, 2025 **What do you like best about Databricks?** I am using data bricks from around 1 year. In a week I use it approx 3-4 days. Everything is integrated, which means I don’t have to switch between multiple tools to do different tasks. It really improves team collaboration. Sharing notebooks and collaborating on models is super easy. This has been great for our team since we often work together on projects and need to see each other's code and progress. **What do you dislike about Databricks?** This is probably the biggest downside. Databricks can get pretty expensive, especially if you’re not monitoring your usage carefully. It’s definitely a platform that’s best suited for teams with a larger budget or organizations that need heavy-duty data processing. **What problems is Databricks solving and how is that benefiting you?** Managing and processing huge volumes of data used to be a huge headache. As our data grew, our previous tools were struggling to keep up. Databricks has solved this by providing a robust, scalable infrastructure that automatically adjusts to handle large datasets. Whether it’s batch processing or streaming data, we no longer worry about performance issues when scaling up. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks Data Intelligence Platform. We appreciate your feedback about the cost and are committed to providing value for your investment. ### 15. Innovative Platform That Breaks Down Data Silos **Rating:** 5.0/5.0 stars **Reviewed by:** Ai R. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like how Databricks is innovative and flexible. I find Spark to be incredibly fast, which is a big plus for my work. The initial setup of Databricks was easy for me and my team. **What do you dislike about Databricks?** I don't like the PowerBI semantic layer integration. **What problems is Databricks solving and how is that benefiting you?** Databricks helps with breaking down silos. **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks innovative, flexible, and easy to set up. Spark's speed is definitely a big advantage for many users. We appreciate your feedback on the PowerBI semantic layer integration and will take it into consideration for future improvements. ### 16. The Total Solver: Databricks **Rating:** 5.0/5.0 stars **Reviewed by:** Jeffer Leonardo A. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I really like that Databricks solves everything in one place. Everything they generate works excellently, especially Genie. Additionally, the initial setup of Databricks was simple. **What do you dislike about Databricks?** Nothing **What problems is Databricks solving and how is that benefiting you?** Databricks solves everything from data management to the creation of ML and AI models, all in one place. **Official Response from Jess Darnell:** > We're thrilled to hear that you find Databricks to be an excellent all-in-one solution, especially with the simplicity of the initial setup and the performance of Genie. Thank you for sharing your positive experience! ### 17. Intuitive Platform with Expanding Features, Slight Setup Barrier **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 like the ease of use of Databricks and appreciate the analytical insights it provides. Additionally, I value the continuing feature improvements. **What do you dislike about Databricks?** There are some features in DB SQL that are not my favorite, and I wish they had a little bit more customization for specific developer requests. The initial setup was pretty laborious due to legacy code artifacts, but that is a necessary evil, I think. **What problems is Databricks solving and how is that benefiting you?** I use Databricks as a business intelligence platform, enjoying its ease of use, analytical insights, and continuous feature improvements. **Official Response from Jess Darnell:** > We appreciate your feedback about Databricks. It's great to hear that you find the platform intuitive and enjoy the expanding features. We understand the challenges with the initial setup and are committed to making it as seamless as possible. Your input about DB SQL features and customization is valuable, and we'll take it into account as we continue to improve the platform. ### 18. Lots to Learn and Love **Rating:** 5.0/5.0 stars **Reviewed by:** Raghav S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Lots to learn and amazing people to talk to and I got to know about software I can use for my business use cases **What do you dislike about Databricks?** Nothing really. It was all really good and got to meet alot of cool people **What problems is Databricks solving and how is that benefiting you?** Pre processing, user friendly and all in one place. **Official Response from Jess Darnell:** > We're glad to hear that you found Databricks to be a valuable resource for learning and connecting with others. Thank you for sharing your positive experience! ### 19. End-to-End Data Science Platform for Building, Deploying, and Monitoring Models **Rating:** 4.5/5.0 stars **Reviewed by:** Flavio M. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** An integrated environment where data scientists can access data, develop models, push them to deployment, and analyze and monitor business outcomes and experiments. **What do you dislike about Databricks?** There is a potentially exponential cost growth that needs very close management. **What problems is Databricks solving and how is that benefiting you?** Accelerate deployment of advanced analytics for decisions in pricing, marketing, collections, risk mngt. **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping accelerate the deployment of advanced analytics for important business decisions. ### 20. Wide Range of Conferences Tailored to Your Needs **Rating:** 4.0/5.0 stars **Reviewed by:** Sofia C. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** All the conferences and how there are different topics based on your needs. **What do you dislike about Databricks?** Probably the amount of different rooms, and building. There is not like a clear map of everything. **What problems is Databricks solving and how is that benefiting you?** Integrate data in an easy way and use data for people who don’t know much about data engineering **Official Response from Jess Darnell:** > We're glad to hear that you enjoy the wide range of sessions tailored to different needs at DAIS! We understand your concern about the layout and will work on providing clearer maps for our events. ### 21. Innovation We Love **Rating:** 5.0/5.0 stars **Reviewed by:** Fayas K. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** There’s constant innovation in the data space, and I really appreciate the pace at which new features are being added to the platform. **What do you dislike about Databricks?** I don’t have anything specific coming to my mind right now. **What problems is Databricks solving and how is that benefiting you?** Build a single platform for data analytics, machine learning, and AI use cases. **Official Response from Jess Darnell:** > We're glad to hear that you appreciate the constant innovation and new features added to our platform. We're committed to providing cutting-edge solutions for data analytics, machine learning, and AI use cases. ### 22. Seamless SQL & Python Notebooks with Flexible, Audience-Friendly Outputs **Rating:** 4.0/5.0 stars **Reviewed by:** Andrew H. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The ability to seamlessly integrate SQL, Python, and more into a notebook and then output it into formats that are usable for diverse audiences. **What do you dislike about Databricks?** Tick marks in SQL and non-T-SQL style formatting. **What problems is Databricks solving and how is that benefiting you?** Consolidating variou data sources into a single source of truth which can then be leveraged. **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping you consolidate various data sources into a single source of truth, allowing for better leverage of the data. We're happy to be a part of your data journey. ### 23. Powerful, Intuitive Databricks That Redefines Data Services **Rating:** 5.0/5.0 stars **Reviewed by:** Jeffrey C. | Software Developer, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks has redefined the way data services can be managed, developed, and deployed. It’s powerful yet intuitive in its design. **What do you dislike about Databricks?** It can be hard to keep up with all of the constantly added products and features in order to build a solid roadmap. **What problems is Databricks solving and how is that benefiting you?** Business insights and analytics. **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks powerful and intuitive. We're constantly working to improve and simplify our products to make them more user-friendly. ### 24. Easy-to-use and very powerful tool, constantly evolving **Rating:** 5.0/5.0 stars **Reviewed by:** Facundo S. | Helpdesk Agent Ssr, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It is a very easy-to-use tool and, at the same time, very powerful. **What do you dislike about Databricks?** Really nothing. It is a tool that is constantly evolving, so anything that can be improved is adjusted over time. **What problems is Databricks solving and how is that benefiting you?** Especially the generation of agents and data management. **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks easy-to-use and powerful. Our team is committed to constantly evolving and improving the tool to meet your needs. Thank you for your feedback! ### 25. Efficient Data Management but Needs Better Support **Rating:** 4.0/5.0 stars **Reviewed by:** Harish S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I appreciate Databricks for its 'Unified ops' feature, which helps me track costs and manage instances all in one place. I also found the initial setup to be easy. **What do you dislike about Databricks?** Support **What problems is Databricks solving and how is that benefiting you?** Databricks solves governance and lineage issues while helping me track costs and manage instances in one place. **Official Response from Jess Darnell:** > Thank you for sharing your positive experience with our 'Unified ops' feature and the ease of the initial setup. We apologize for any inconvenience you've experienced with our support and are committed to making improvements in this area. Please connect with our team to let us know how we can help support you better! ### 26. User-Friendly and Widely Adopted—Easy to Find Help and Collaborators **Rating:** 4.5/5.0 stars **Reviewed by:** Felipe A. | Data scientist, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It’s user-friendly and very popular, which makes it easy to find people who know the tool and can help or work with it. **What do you dislike about Databricks?** It’s very expensive if you don’t have a really solid FinOps practice in place. **What problems is Databricks solving and how is that benefiting you?** It’s helping us scale data usage across the entire company. **Official Response from Jess Darnell:** > We appreciate your input. It's valuable to know that Databricks is making it easier for you to find help and collaborators. We're committed to providing a platform that meets your needs. ### 27. User-Friendly and Packed with AI Features for Custom Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Fernando Maximiliano E. | Senior Business Intelligence Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It’s really user-friendly and easy to manage. It also offers a wide range of AI features that you can use to build and develop your own analysis **What do you dislike about Databricks?** Nothing at this moment, the best features are yet to come **What problems is Databricks solving and how is that benefiting you?** Big data analysis, Ai feature integration, data migrations **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping you with big data analysis, AI feature integration, and data migrations. We're committed to providing the tools you need for successful data management. ### 28. All-in-One E2E Pipeline in One Place **Rating:** 4.0/5.0 stars **Reviewed by:** Benjamin S. | Lead Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Having all the e2e pipeline in one place **What do you dislike about Databricks?** How hard it is to run and learn. It’s a huge onboarding cost **What problems is Databricks solving and how is that benefiting you?** It’s all of our data platform, so it makes it possible for us to get a complete data platform with just 1 vendor and ecosystem **Official Response from Aunalisa Arellano:** > Thank you for sharing your feedback! We're glad to hear that having all your e2e pipeline in one place is benefiting you. We understand that the learning curve can be challenging, and we are continuously working to improve our onboarding process to make it easier for our users. Your input is valuable to us, and we appreciate your patience as we strive to enhance the user experience. If you have any specific concerns or need assistance with anything, please feel free to reach out to our support team. We are here to help and ensure you get the most out of your data platform with Databricks. ### 29. End-to-End Data Management and Analytics Solution with AI Agents **Rating:** 4.5/5.0 stars **Reviewed by:** Haolin D. | Course Assistant, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It’s end to end service and solution for data management and analytics, as well as ai agent **What do you dislike about Databricks?** Too expensive for Databricks services, want more discount lol **What problems is Databricks solving and how is that benefiting you?** Working on integrating Databricks SQL API but found python package not fit, later use statement API and http call instead **Official Response from Jess Darnell:** > We're glad to hear that you appreciate our end-to-end data management and analytics solution with AI agents. ### 30. Easy-to-Use Infrastructure and Software for DE and ML **Rating:** 5.0/5.0 stars **Reviewed by:** Aniket A. | Senior WebFOCUS Developer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Ease of use of infrastructure and software for DE and ML **What do you dislike about Databricks?** Almost nothing but some times serverless doesn't have all I need **What problems is Databricks solving and how is that benefiting you?** Right now we are building ai agents and it's helping in solving a lot of apps and last mile delivery of our ml problems **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks easy to use! We appreciate your feedback about the serverless option and will continue to work on improving it. ### 31. All-in-One Collaborative Platform for Data, ML, and Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Fredy G. | Representante de servicio al cliente, Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2026 **What do you like best about Databricks?** Databricks brings together data engineering, data science, machine learning, and analytics in a single collaborative environment. You don't need to juggle multiple tools for different tasks. **What do you dislike about Databricks?** Databricks pricing is based on Databricks Units (DBUs), which can be expensive and difficult to estimate upfront. Costs can quickly spiral out of control, especially with auto-scaling clusters. **What problems is Databricks solving and how is that benefiting you?** Creating a unified lakehouse platform that combines data lakes, data warehouses, and machine learning in one place. **Official Response from Jess Darnell:** > Thank you for sharing your feedback. It's great to hear that Databricks is helping you streamline your data engineering, data science, and machine learning tasks. We understand your concerns about pricing and estimating costs, and we are continuously working to provide more transparency and flexibility in our pricing model. ### 32. Ease and Efficiency in Data Management with Databricks **Rating:** 5.0/5.0 stars **Reviewed by:** Clayton R. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like the ease of Databricks. I also like the orchestration of the pipelines and the data processing. **What do you dislike about Databricks?** I think that the artificial intelligence part is still something embryonic. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for data management with low latency, data transformation, and monthly loading. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping you with low latency data management, transformation, and loading. We appreciate your support and look forward to continuing to meet your data processing needs. ### 33. Love Genie code **Rating:** 4.0/5.0 stars **Reviewed by:** Patrick M. | Advertising Account Representative, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** All of our data warehouses in a unified platform and Genie code. **What do you dislike about Databricks?** Access and adoption has been a challenge within the organization preventing us from using its full capabilities **What problems is Databricks solving and how is that benefiting you?** I spend less time creating workflows and coding data pipeline and more time answering business questions **Official Response from Jess Darnell:** > We're glad to hear that you appreciate the unified platform and Genie code. We understand that adoption can be a challenge, and we're continuously working to improve accessibility and support within organizations. ### 34. Scalable Unified Analytics with Fast Big Data Processing and Strong Spark Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Anup K. | Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** May 25, 2026 **What do you like best about Databricks?** Scalable data processing, unified analytics platform, fast big data handling, collaborative notebooks, strong Spark integration, efficient data engineering workflows. **What do you dislike about Databricks?** Complex pricing structure, steep learning curve for beginners, cluster management can be confusing, sometimes expensive for smaller teams **What problems is Databricks solving and how is that benefiting you?** Handling large-scale data processing, unifying data engineering and analytics, faster ETL workflows, collaborative data science, scalable machine learning operations **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping you handle large-scale data processing, unify data engineering and analytics, and improve your ETL workflows. We're committed to providing solutions that benefit our users. ### 35. Excellent Platform for Scaling LLMs and Managing Multi-Cloud Data **Rating:** 4.5/5.0 stars **Reviewed by:** Sumit S. | Marketing Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** December 28, 2025 **What do you like best about Databricks?** This platform is excellent for scaling large language models (LLMs) and generative AI applications. It offers a unified location to manage security and access data files across multiple cloud environments. **What do you dislike about Databricks?** Databricks is designed for handling large data sets, so using it for smaller tasks can feel excessive. **What problems is Databricks solving and how is that benefiting you?** This tool removes the long wait times marketers often face when they need a data engineer to create even a basic report. It also enables us to develop our own AI models using our internal documents, all while maintaining security and peace of mind. **Official Response from Janelle Glover:** > It's great to hear that Databricks Data Intelligence Platform is helping you reduce wait times and enabling you to develop AI models using internal documents while maintaining security. We're thrilled to be able to provide these benefits to your team. ### 36. Genie Coding Assistant: A Powerful Boost to Productivity **Rating:** 5.0/5.0 stars **Reviewed by:** Rupali R. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Genie coding assistant is really helpful. I also like the dashboard and the MLflow capability. **What do you dislike about Databricks?** Sometimes the context window gets used up quickly and it hangs instead of error message **What problems is Databricks solving and how is that benefiting you?** It is really helpful us kee phi data secure and coding assistant improves productivity **Official Response from Jess Darnell:** > We're glad to hear that you find the Genie coding assistant helpful and that you appreciate the dashboard and MLflow capability. We apologize for the inconvenience with the context window and hanging issue, and we'll work to improve this for a better user experience. ### 37. Easy to Use and Works Great **Rating:** 5.0/5.0 stars **Reviewed by:** Jonatan Andres L. | Ingeniero de desarrollo, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It is easy to use and the company's support is excellent. I really like that it is multi-cloud. **What do you dislike about Databricks?** I have nothing to complain about, everything is excellent. **What problems is Databricks solving and how is that benefiting you?** Databricks helps us improve the billing process of our organization by providing tools to enhance it. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping to improve your organization's billing process. We're glad that our tools are benefiting you in this way. ### 38. Databricks Accelerates Value Generation with an Easy Build Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel Thereza F. | Intern, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks is helping value generation faster for our business since it’s so easy for the analysts and engineers to build on top of it. **What do you dislike about Databricks?** Databricks should improve their cost management features and permission control on workspace level features. **What problems is Databricks solving and how is that benefiting you?** Machine Learning and Data Engineering mostly **Official Response from Aunalisa Arellano:** > Thank you for sharing your feedback on Databricks! We're thrilled to hear that our platform is helping accelerate value generation for your business. We appreciate your suggestions for improving cost management and permission control features, and we will definitely take them into consideration for future enhancements. It's great to hear that Databricks is solving your machine learning and data engineering challenges. If you have any more insights or need further assistance, please feel free to reach out. We're here to help! ### 39. Love Everything About the Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Nadir N. | Co-Founder, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like everything about the platform—the features, its capabilities, and the new additions. **What do you dislike about Databricks?** It’s amazing how much things change every day. There are so many changes happening all the time. **What problems is Databricks solving and how is that benefiting you?** Being able to serve data, insights, and analytics to so many people at scale **Official Response from Aunalisa Arellano:** > We're thrilled to hear that you love everything about our platform, including its features and capabilities. We're constantly working to improve and add new features to provide the best experience for our users. Thank you so much for taking the time to leave a review! It means so much to us. ### 40. Comprehensive and Fast, Yet Room for Improvement **Rating:** 4.5/5.0 stars **Reviewed by:** Sr V. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** I like Databricks for its fast computing capabilities and having all the tools I need in one platform. **What do you dislike about Databricks?** Cluster start ups getting faster. And the virtual environment could be separated. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for data management, having all the tools in one platform. **Official Response from Aunalisa Arellano:** > Thank you for your feedback. We're pleased that you find Databricks helpful for data management. We take your suggestions for faster cluster start-ups and virtual environment separation seriously and will consider them for future improvements. Thank you for taking the time to leave a review! ### 41. A Scalable Platform We Love **Rating:** 4.0/5.0 stars **Reviewed by:** Gagan B. | Senior Solutions Consultant - Analytics, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** A scalable platform for all kinds of workloads. **What do you dislike about Databricks?** Nothing really stands out. The main thing I’d like to see is better interoperability with closed-loop systems such as SAP, Oracle etc. **What problems is Databricks solving and how is that benefiting you?** Provides driving insights and ML/AI enablement for a range of industry use cases. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks to be a scalable platform for various workloads. We appreciate your feedback about interoperability with closed-loop systems and will take it into consideration for future improvements. Thank you so much for taking the time to leave a review! It means so much to us. ### 42. It's super handy for analytics, scales well, and you can easily rely on it. **Rating:** 4.0/5.0 stars **Reviewed by:** Omar J. | Full Stack Web Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 26, 2025 **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. **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. **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. **Official Response from Aunalisa Arellano:** > 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. ### 43. Scales to Production Pipelines in Minutes **Rating:** 3.5/5.0 stars **Reviewed by:** Matthew Z. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 13, 2026 **What do you like best about Databricks?** The way you scale up to production level pipelines in a mater of minutes. **What do you dislike about Databricks?** The lack of status between job dependencies. Some other products are ahead in the scheduling and dependency department. **What problems is Databricks solving and how is that benefiting you?** Connecting non technical people with the data our tech teams are producing. **Official Response from Jess Darnell:** > We're thrilled to hear that you find our ability to scale up to production pipelines in minutes valuable. We understand your concerns about the lack of status between job dependencies and are actively working to enhance this aspect of our platform. Your feedback is important to us as we continue to improve our scheduling and dependency features. ### 44. Well-Organized and Fun, with the Booth as the Highlight **Rating:** 5.0/5.0 stars **Reviewed by:** Liwei W. | Graduate Student Researcher, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Well organized with a lot of fun activities! Booth is the highlight **What do you dislike about Databricks?** Limited seats for a session. Many sessions I want to listen, but full **What problems is Databricks solving and how is that benefiting you?** Retrieval from large dataset. Doing analysis on big datasets, availability of many plugin tools for different purposes **Official Response from Jess Darnell:** > We're thrilled to hear that you enjoyed the well-organized and fun activities at DAIS! We apologize for the inconvenience of limited seating and will take your feedback into account for future events. Thank you for sharing the problems Databricks is addressing for you! ### 45. Speeds Development with Intuitive Interface **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** I like that Databricks has made developing apps faster and accessing data easier. It's an all-in-one platform that reduces friction and time to deliver. The interface stands out for me, as it's fast and offers amazing flexibility by allowing the ability to choose everything. **What do you dislike about Databricks?** Guidance on how to use the tools in the app could improve. Better onboarding. **What problems is Databricks solving and how is that benefiting you?** Databricks helps me develop apps faster and access data easily, reducing delivery time. The platform's speed and customization options are great. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with Databricks. We understand the importance of intuitive interfaces and are pleased to hear that it has helped you access data and develop apps faster. We have noted your feedback on the need for better guidance and onboarding. ### 46. Trusted Platform with Secure Data and Reliable Evidence **Rating:** 5.0/5.0 stars **Reviewed by:** Michael W. | staff scientist, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It’s a platform built on trust, with secure data and reliable evidence. **What do you dislike about Databricks?** The cost of the platform can be very restricting for small users. **What problems is Databricks solving and how is that benefiting you?** We’re trying to empower our simulator technicians. It provides better support for our devices and helps reduce downtime. **Official Response from Janelle Glover:** > We're glad to hear that you appreciate the trustworthiness and security of our platform. Thanks for your feedback! ### 47. Genie Space Keynotes Were Truly Helpful for Developers **Rating:** 5.0/5.0 stars **Reviewed by:** sravan k. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** About the Genie Space and keynotes: it was really good and helpful for all developers. **What do you dislike about Databricks?** Nothing I can think of sometimes it’s very expensive as we do not k ke how much to use **What problems is Databricks solving and how is that benefiting you?** MDM Golden record creation Genie space User metrics **Official Response from Janelle Glover:** > We're glad to hear that you found the Genie Spaces discussions and keynotes at our Data + AI Summit helpful! Our goal is to provide valuable resources for our users. ### 48. Efficient ETL and Data Warehousing with Transparent Pricing **Rating:** 5.0/5.0 stars **Reviewed by:** Vivan S. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like Databricks' transparent pricing and the fast performance that it offers. Also, the initial setup was very easy, which I appreciate. **What do you dislike about Databricks?** Nothing **What problems is Databricks solving and how is that benefiting you?** I use Databricks for ETL and as a data warehouse, which helps with ingesting data from our production script. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks! We are thrilled to hear that you appreciate our transparent pricing, fast performance, and easy setup process. It's great to know that Databricks is helping you with ETL and data warehousing, making data ingestion smoother for your production scripts. If you ever have any questions or need assistance, please feel free to reach out to us. We are here to support you every step of the way. ### 49. Exceptional Support and Lightning-Fast Data Processing **Rating:** 5.0/5.0 stars **Reviewed by:** Georges S. | Customer Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** December 19, 2025 **What do you like best about Databricks?** They make a real effort to understand our needs, which I value. I am also impressed by how quickly they handle large datasets. They offered essential resources for managing and integrating data, and consistently go above and beyond to support their clients. The speed of data processing was truly remarkable. **What do you dislike about Databricks?** The implementation process was seamless, and the platform has been functioning perfectly. I have not encountered any problems to date. I am thoroughly satisfied with the tool and, at this time, have no complaints or dislikes to mention. **What problems is Databricks solving and how is that benefiting you?** This application made it simple for us to connect all our data, which allowed our team to concentrate on more important tasks. It also provides a platform to aggregate and analyze information, helping us maximize the value we get from our data. **Official Response from Janelle Glover:** > It's great to hear that our platform has helped you connect your data so that your team can concentrate on more important tasks. We are pleased to provide a platform for aggregating and analyzing information to help you maximize the value of your data. ### 50. I Love Databricks, but **Rating:** 5.0/5.0 stars **Reviewed by:** Roberto E. | Desarrollador Full Stack y Adminsitrador de Base de datos, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The speed and ongoing improvements are what I appreciate most, and I’m really enjoying working with Databricks. **What do you dislike about Databricks?** I think isn't provides a lot of opportunities yet in data governance features. **What problems is Databricks solving and how is that benefiting you?** Now, development is better than it was a few years ago. **Official Response from Janelle Glover:** > We're pleased to hear that you are enjoying working with Databricks! Thanks for your feedback. ## 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, 1 upvote - [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=8&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-08+13%3A54%3A43+-0500&secure%5Bsession_id%5D=3d07f56e-0c91-4fa8-b299-275626d5c029&secure%5Btoken%5D=19069defc5751dd022715a53fdbda95a462dd78da86bad1d50ab800c2cdf2efb&format=llm_user) ## Databricks Integrations - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) - [Anaplan](https://www.g2.com/products/anaplan/reviews) - [Apache Airflow](https://www.g2.com/products/apache-airflow/reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - [Azure Data Lake Store](https://www.g2.com/products/azure-data-lake-store/reviews) - [Azure DevOps Server](https://www.g2.com/products/azure-devops-server/reviews) - [Azure Logic Apps](https://www.g2.com/products/azure-logic-apps/reviews) - [Azure OpenAI Service](https://www.g2.com/products/azure-openai-service/reviews) - [Azure Pipelines](https://www.g2.com/products/azure-pipelines/reviews) - [Azure Portal](https://www.g2.com/products/azure-portal/reviews) - [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews) - [Base SAS](https://www.g2.com/products/base-sas/reviews) - [Claude](https://www.g2.com/products/claude-2025-12-11/reviews) - [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews) - [Crunchbase](https://www.g2.com/products/crunchbase/reviews) - [Dash](https://www.g2.com/products/dash-for-brands-ltd-dash/reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - [DigitalOcean](https://www.g2.com/products/digitalocean/reviews) - [Domo](https://www.g2.com/products/domo/reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - [GEN TDS](https://www.g2.com/products/gen-tds/reviews) - [Git](https://www.g2.com/products/git/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - 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[Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [MLflow](https://www.g2.com/products/mlflow-mlflow/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [ObjectWay SpA](https://www.g2.com/products/objectway-spa/reviews) - [Pega Platform](https://www.g2.com/products/pega-platform/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [PowerBI Portal](https://www.g2.com/products/powerbi-portal/reviews) - [Prophecy](https://www.g2.com/products/prophecy-prophecy/reviews) - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) - [Salesforce Headless 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - [SAP Ariba](https://www.g2.com/products/sap-ariba/reviews) - [SAP ECC](https://www.g2.com/products/sap-ecc/reviews) - [Seamless (formally Seamless.AI)](https://www.g2.com/products/seamless-formally-seamless-ai/reviews) - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews) - 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Customizable Reports - Activity Dashboard - Customizable Dashboard **Additional Functionality** - Continuous Integration - Drag & Drop - Backup and Recovery - Multiple Programming Languages Supported - Continuous Deployment - Code Development - For No-Code Development - Version Control - Configurable Workflow - Graphical User Interface - For Low-Code Development - Activity Dashboard - Generative AI - UI Prototyping - Source Control - Software Development - API - Data Import/Export - Web App Development - Custom Development - Code Repository Integration - Data Security - Mobile Development - Access Controls/Permissions - Game Development - Collaboration Tools - Application Security - Alerts/Notifications - Automated Testing - Integrated Development Environment - Offline Access - Debugging - AI Copilot - Reporting/Analytics - Compatibility Testing - Pre-built Templates - Third-Party Integrations - Data Modeling - Customizable Branding - Data Visualization - Code Editing **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Additional Functionality** - Data Cleansing - Data Extraction - Third-Party Integrations - Data Verification - Information Governance - Data Capture and Transfer - AI Copilot - Customizable Reports - Data Migration - Behavior Analytics - Real-Time Reporting - Interactive queries - Audit Trail - Multiple Data Sources - Document Storage - Access Controls/Permissions - User Management - AI/Machine Learning - Master Data Management - Task Scheduling - Data Import/Export - Monitoring - Customer Database - Audit Management - Reporting/Analytics - Data Visualization - Collaboration Tools - Workflow Management - Full Text Search - Compliance Management - Generative AI - Data Quality Control - Data Connectors - Automatic Backup - Activity Tracking - Activity Dashboard - Data Security - Data Analysis Tools - Data Synchronization - Metadata Management - Dashboard Creation - Visual Analytics - Secure Data Storage - Data Integration - Database Support **Additional Functionality** - Code Generation - Text to Image - Generative AI - API - Natural Language Processing - Virtual Characters and Avatars - Content Generation - Personalization and Recommendation - Conditional Generation - Transformer Model - Automated Image & Video Editing - Interactive and Co-Creative Systems - Text Summarization - Data Augmentation - Variation Autoencoder Models - Adversarial Training - Transfer Learning and Fine-tuning - Simulation and Scenario Generation - Creative Design - AI Copilot - Prompt Engineering - Foundation Model **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations - Configurable Workflow - Rules-Based Workflow **Management** - Reporting - Auditing **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling - Real-Time Data **Data Preparation** - Connectors - Data Governance **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics - ETL - Extract Transfer Load - Data Capture and Transfer - Real-Time Analytics - Reporting/Analytics **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage - Data Visualization **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Reports** - Reports Interface - Share Reports - Steps to Answer **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Functionality** - Ease of Use - File Management - Multi-Language Support - Customization - Straight-Out-the-Box Functionality - Help Guides - Patching & Updates - Workflow Management - Change Management - Deployment Management - Performance Management - Compliance Management - Lifecycle Management - Task Management - Document Management - Database Support **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **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 - API Security - Data Security - Authentication **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 **Configuration** - Application Performance - Orchestration - Database Monitoring - Anomaly Detection - Network Security **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training - Database Support - Multi-Language **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying - Reporting/Analytics - Predictive Analytics - Visual Analytics **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring - Real-Time Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability - Non-Relational Transformations - Data Extraction **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending - Data Capture and Transfer **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Security** - Access Control - Roles Management - Compliance Management - Deletion Management - Access Controls/Permissions - User Management - Process Management - Audit Management - Metadata Management **Operations** - Metrics - Infrastructure management - Collaboration **Visualization** - Graphs and Charts - Score Cards - Dashboards - Formats - Mobile Dashboards - Public Dashboards - Private Dashboards **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 - Multimedia Support - Multi-Modal Input Support **Governance & Observability - AI Gateways** - Data Privacy - Cost Tracking - Centralized API Key Security **Additional Functionality** - Data Mapping - Monitoring - Charting - Integration Management - Reporting/Analytics - Ad hoc Analysis - Access Controls/Permissions - API - Match & Merge - Real-Time Monitoring - Metadata Management - Pipeline Management - Job Scheduling - Dashboard Creation - Data Storage Management - Multiple Data Sources - Data Import/Export - Generative AI - Data Quality Control - Data Connectors - Customizable Reports - Single Sign On - Version Control - Visual Analytics - Accounting Integration - Real-Time Data - eCommerce Management - AI Copilot - CRM - Data Visualization - SSL Security - Search/Filter - Real-Time Analytics - Data Capture and Transfer - Collaboration Tools - Performance Management - Data Synchronization - Drag & Drop - Data Replication - Activity Dashboard - Database Support - Workflow Management - Alerts/Notifications - Predictive Analytics - Data Migration - Third-Party Integrations - Reporting & Statistics - Data Analysis Tools **Database Administration** - Provisioning - Governance - Auditing **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 **Maintainence** - Data Quality Management - Policy Management - Data Storage Management **Management** - Cataloging - Monitoring - Governing **Data Updates** - Historical Snapshots - Real-Time Updating **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **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 **Availability** - Scalability - Backup - Archiving - Indexing **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake - Real-Time Data - Data Capture and Transfer - Trend Analysis - What-if Analysis - Statistical Analysis - Data Blending - Ad hoc Analysis - Third-Party Integrations **Security** - Data Masking - Authentication And Single Sign-On - Data Anonymization **Performance ** - Scalability **Collaboration** - Sharing - Co-Editing - Devices **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **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 - Third-Party Integrations **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations **Additional Functionality** - Customizable Reports - Collaboration Tools - Data Extraction - Semantic Search - Data Storage Management - Ad hoc Reporting - Reporting/Analytics - Predictive Analytics - Activity Dashboard - Access Controls/Permissions - Visual Analytics - Data Mapping - Data Synchronization - Statistical Analysis - Categorization/Grouping - Trend Analysis - Data Profiling - Linked Data Management - Data Visualization - API - Multiple Data Sources - Sentiment Analysis - Search/Filter - Data Import/Export - Data Capture and Transfer - AI Copilot - Monitoring - Data Connectors - Ad hoc Analysis - Text Mining - Reporting & Statistics - Predictive Modeling - Real-Time Analytics - Configurable Workflow - Tagging - Endpoint Management - No-Code - Data Preparation - Auditing - Big Data Analytics - ML Algorithm Library - Data Management - Activity Tracking - Data Security - Workflow Management **Additional Functionality** - Version Control - Scalability - Personalization - Data Extraction - Webhooks - API - Natural Language Processing - Fallback Handling - Drag & Drop - Multiple LLM Models - Built-in AI Assistant - Automated Testing - Data Governance - Collaboration Tools - Pre-built Templates - Agent Design Tools - Deep Learning - Model Training - Analytics - Single Sign On - Debugging - Deployment Management - Proactive Error Detection **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks - Data Discovery **Data Management** - Data Replication - Advanced Data Analytics **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image - Generative AI **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 - Third-Party Integrations - Active Directory Integration **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity - Multiple Data Sources - Query Builder **Additional Functionality** - AI Copilot - Reporting & Statistics - Data Migration - Archiving & Retention - Data Capture and Transfer - Audit Trail - Data Synchronization - Single Sign On - Customizable Reports - Data Profiling - Authentication - Role-Based Permissions - Tagging - Secure Data Storage - Data Security - HIPAA Compliant - SSL Security - Risk Assessment - Data Mapping - Search/Filter - Self Service Portal - Multiple Data Sources - Document Storage - API - Activity Tracking - Automatic Backup - Visual Analytics **Additional Functionality** - Data Warehousing - Drag & Drop - Activity Dashboard - Data Connectors - Ad hoc Reporting - Customizable Reports - Alerts/Escalation - Templates - Forecasting - Data Migration - Data Transformation - Access Controls/Permissions - API - Data Cleansing - Data Synchronization - AI Copilot - Dashboard Creation - Data Extraction - Data Security - SSL Security - Collaboration Tools - No-Code - High Volume Processing - Database Support - Search/Filter - Generative AI **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **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 - Third-Party Integrations **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support - Database Support **Additional Functionality** - Parallel Processing - Ad hoc Analysis - Multiple Data Sources - API - In-Database Processing - Monitoring - Real-Time Reporting - Data Synchronization - Real-Time Monitoring - Data Connectors - Performance Metrics - Ad hoc Reporting - Alerts/Notifications - Access Controls/Permissions - Drag & Drop - Data Visualization - Data Import/Export - Match & Merge - Data Transformation - Secure Data Storage - Data Extraction - AI Copilot - Customizable Reports - Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping **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 - Ad hoc Query - Visual Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management **Data Updates** - Historical Snapshots - Real-Time Updating - Scheduled/Automated Reports - Customizable Reports - Predictive Analytics - Data Management - Real-Time Data **Additional Functionality** - Drag & Drop - Secure Data Storage - Data Import/Export - Customizable Branding - Dashboard Creation - Access Controls/Permissions - Real-Time Reporting - Metadata Management - Forecasting - Data Storage Management - Ad hoc Analysis - Ad hoc Reporting - Data Migration - AI Copilot - Self Service Data Preparation - Search/Filter - Data Mapping - Monitoring - Sentiment Analysis - User Management - Sales Trend Analysis - Charting - Reporting & Statistics - Performance Metrics - Alerts/Notifications - Data Extraction - Widgets - Storytelling - Trend Analysis - Collaboration Tools - Financing Management - Self-service Analytics - KPI Monitoring - Dashboard - API - Data Integration - Scorecards - Data Management - Task Management - Progress Tracking - Data Connectors - Data Visualization - Profitability Analysis - Project Tracking - Strategic Planning - Goal Setting/Tracking - Publishing/Sharing - Predictive Analytics - Real-Time Monitoring - Templates - Mobile Access - Customizable Templates - Workflow Management - Financial Reporting - Audit Management - OLAP - Single Sign On - Data Synchronization **Additional Functionality** - Customizable Branding - Natural Language Processing - Data Extraction - AI Copilot - Ad hoc Reporting - Real-Time Reporting - Publishing/Sharing - Collaboration Tools - Strategic Planning - Self Service Data Preparation - Trend Analysis - Text Analysis - Real-Time Monitoring - Data Synchronization - Widgets - Benchmarking - Performance Metrics - Data Mapping - Generative AI - Trend/Problem Indicators - Customizable Templates - Access Controls/Permissions - Data Import/Export - Profitability Analysis - OLAP - Alerts/Notifications - Search/Filter - Drag & Drop - Data Connectors - Multiple Data Sources - Key Performance Indicators - Dashboard Creation - Role-Based Permissions - Data Mining - Forecasting - Ad hoc Query **Additional Functionality** - KPI Monitoring - Secure Data Storage - Multiple Data Sources - Data Visualization - Single Sign On - Natural Language Search - Search/Filter - Alerts/Notifications - AI Copilot - Real-Time Notifications - Collaboration Tools - Widgets - Performance Metrics - Ad hoc Reporting - Activity Tracking - Reporting/Analytics - Customizable Branding - Data Aggregation - Dashboard Creation - Data Connectors - Customizable Templates - Data Synchronization - API - Forecasting - Interactive Elements - Single Page View - Data Import/Export - Drag & Drop - Access Controls/Permissions - Trend Analysis - Workflow Management - Third-Party Integrations - Functions/Calculations - Historical Reporting - Data Capture and Transfer - Visual Discovery - Real-Time Updates - Real-Time Reporting - Data Mapping - Relational Display - Visual Analytics - OLAP - Ad hoc Query - Reporting & Statistics ## 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 (713 reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - 4.3/5.0 (356 reviews)