--- title: Databricks Reviews meta_title: 'Databricks Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 1366 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: 1366 scale: '5' date_modified: '2026-08-15' 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:** 1,366 ## 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. Straightforward SQL, Smooth Workflow Scheduling, and a Handy Notebook Feature **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2026 **What do you like best about Databricks?** It’s straightforward to write and run SQL, schedule workflows, and I especially like the notebook feature. Genie AI is helpful for diagnosing bugs, and it can also answer ad hoc questions whenever I need it. **What do you dislike about Databricks?** Genie’s AI feature could still use some improvement. It sometimes takes a long time to respond, and with more complex problems it doesn’t always handle them well. **What problems is Databricks solving and how is that benefiting you?** The workflow is very easy to schedule. It’s also simple to set up alerts, and the visualization makes it easy for me to modify and debug. **Official Response from Jess Darnell:** > We're thrilled that Databricks has made workflow scheduling and visualization easy for you. We value your feedback on Genie AI and will strive to make it more efficient in handling complex problems. ### 2. Powerful Performance but Complex Backend **Rating:** 4.0/5.0 stars **Reviewed by:** Ahsan K. | Senior Information Technology Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I think Databricks is a pretty decent platform with a lot of good features. I particularly like its performance, which is very good. Additionally, the AI features are very clear. **What do you dislike about Databricks?** Its backend is very complex. That needs to be thought through. Also, the initial setup was pretty difficult. We didn't find a good vendor for the implementation. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for solving data-related problems. **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks to have powerful performance and clear AI features. We understand your concerns about the complexity of the backend and the initial setup difficulties. We're continuously working to improve user experience and simplify the implementation process. Thank you for sharing your feedback. ### 3. Effortless AI Orchestration, Expensive Warehousing **Rating:** 4.5/5.0 stars **Reviewed by:** Carlos Andrés G. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I really like the Genie feature with ontology because it's spectacular. It helps me ask natural language questions across all my company's file sources. Setting up Databricks was easy too. **What do you dislike about Databricks?** The cost of a warehouse is expensive. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for orchestrating agents and machine learning processes. Genie helps me ask natural language questions across all my company’s file sources, making data access intuitive. **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping you with orchestrating agents and machine learning processes, as well as making data access intuitive with the Genie feature. ### 4. Effortless Data Processing with Speed and Ease **Rating:** 4.0/5.0 stars **Reviewed by:** Marisol R. | Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** I like the processing speed of Databricks, which makes data processing efficient for me. I also find the ease of coding beneficial. The initial setup was easy, making it user-friendly even for someone new like me. **What do you dislike about Databricks?** Newness to me. Learning process **What problems is Databricks solving and how is that benefiting you?** I use Databricks to import external data, manipulate it, and generate reports. It provides speed to process data and ease of coding. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks. We're pleased to hear that the initial setup was user-friendly for you. ### 5. All-in-One Platform for Data Engineering, ML, and GenAI **Rating:** 4.0/5.0 stars **Reviewed by:** Salman K. | Staff Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 25, 2026 **What do you like best about Databricks?** On one platform, we’re getting everything we need, including data engineering, machine learning, and GenAI. **What do you dislike about Databricks?** As of now, I don’t see any dislikes that impact my work. **What problems is Databricks solving and how is that benefiting you?** An end-to-end platform for deploying ML projects in one place. **Official Response from Jess Darnell:** > Thank you for your feedback! We're thrilled to hear that you haven't encountered any issues with our platform that impact your work. ### 6. All-In-One Platform That Revolutionizes Workflows **Rating:** 5.0/5.0 stars **Reviewed by:** Arkesh K. | Sr. Qulaity Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** April 25, 2026 **What do you like best about Databricks?** I love that Databricks combines data engineering, SQL analytics, and machine learning in a collaborative platform. My team and I can clean data, run SQL, and build models all in one place without losing our tasks. **What do you dislike about Databricks?** The price can get scary fast, and sometimes the cluster startup delay makes me feel like I am waiting for a coffee machine that's still warming up. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to run SQL, clean data, and build models all in one place, eliminating the need for multiple tools while handling huge data efficiently. **Official Response from Jess Darnell:** > We're glad to hear that you are enjoying the collaborative platform and the ability to perform multiple tasks in one place. We understand that pricing and cluster startup time can be concerns, and we are constantly working to improve in these areas. ### 7. Data Engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Kaveri K. | Data Warehouse Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** What I like best about Databricks is how seamlessly it brings data engineering, analytics, and AI workflows together on a unified platform; **What do you dislike about Databricks?** what I dislike is that managing costs and cluster configurations can sometimes be challenging. **What problems is Databricks solving and how is that benefiting you?** Databricks solves the challenge of fragmented data and AI workflows by unifying data engineering, analytics, and machine learning, helping me deliver insights faster and collaborate more efficiently. **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks seamless and beneficial for unifying data workflows and delivering insights faster. ### 8. Databricks: Essential for Financial Forecasting and Reporting **Rating:** 5.0/5.0 stars **Reviewed by:** Yara S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I appreciate how Databricks, particularly its Genie feature, helps me elevate and correct my work by suggesting great ideas. It’s a tool I use in finance for forecasting and reporting, and I find it effective enough that I would highly recommend it to others. **What do you dislike about Databricks?** NA **What problems is Databricks solving and how is that benefiting you?** Databricks helps in forecasting and reporting, and Genie elevates and corrects my work by suggesting great ideas. **Official Response from Janelle Glover:** > We're thrilled to hear that Databricks, especially Genie, has been instrumental in your financial forecasting and reporting. Thank you for recommending us! ### 9. Seamless Data Integration with Powerful Spark Engine **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like the powerful Spark engine and Lake Flow in Databricks, which make data integration seamless and simple. Using the Lakeflow connector makes it very simple for us since we don't need to build multiple APIs anymore. Also, we get direct support from solution engineers. **What do you dislike about Databricks?** From Lakeflow perspective, we need capability to bring slowly changing dimension data and data masking during the ingestion. It not working currently. **What problems is Databricks solving and how is that benefiting you?** Databricks removes silos and integrates data into the lake to solve business problems, using the powerful Spark engine and Lakeflow to make data integration seamless, eliminating the need to build multiple APIs. **Official Response from Aunalisa Arellano:** > We're thrilled that you find Databricks valuable for removing silos and integrating data into the lake to solve business problems. Your feedback about the need to support slowly changing dimension data and apply data masking during ingestion is important to us, and we will share it with our product team. ### 10. Best-in-Class Data Lake Analysis and Query Tool **Rating:** 5.0/5.0 stars **Reviewed by:** Álvaro M. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It’s the best tool for running analysis and queries on the data lake. And now it has this new feature that looks awesome: the customer data lake. **What do you dislike about Databricks?** Sometimes my SQL queries take so long to finish, and it can be frustrating when I’m waiting for results. **What problems is Databricks solving and how is that benefiting you?** Nowadays, I mainly use Databricks to create audiences and run AI decisioning in Hightouch. **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping you create audiences and run AI decisioning in Hightouch. We're committed to providing the best tools for data analysis and are thrilled to be a part of your success. ### 11. Progress at the Speed of Data **Rating:** 5.0/5.0 stars **Reviewed by:** Shaquandah S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks continues to find ways to reinvigorate tedious, repetitive processes, while creating new capabilities to keep up with the inundation of data in today's environment. **What do you dislike about Databricks?** Sometimes it takes time to receive updates in a cleared environment. **What problems is Databricks solving and how is that benefiting you?** Databricks has refined data management so that even those who aren't a true data scientist can feel confident in the results they've helped generate. **Official Response from Janelle Glover:** > We're glad to hear that you appreciate Databricks' ability to streamline processes and handle large volumes of data. ### 12. Versatile Platform, But Needs Faster Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Gopi S. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 27, 2026 **What do you like best about Databricks?** I like Databricks because it allows me to perform multiple tasks on a single platform, which isn't possible with some other cloud service platforms. This functionality is particularly useful for managing database tasks efficiently and is a capability I can't find in other platforms. **What do you dislike about Databricks?** I have faced many times when there's a wrong thing in Databricks, and it takes some time to analyze. It could be better if they gave faster and more accurate answers. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for migration projects. It allows me to perform multiple tasks on a single platform, which I can't do on other cloud platforms. **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks versatile and useful for managing database tasks efficiently. We appreciate your feedback and understand the need for faster and more accurate analysis. We are constantly working to improve our platform and will take your input into consideration. ### 13. All-in-One Data Platform That Delivers **Rating:** 4.5/5.0 stars **Reviewed by:** oceanrune9 . | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The All in one data platform that delivers **What do you dislike about Databricks?** Some functions not available across all cloud platforms providers **What problems is Databricks solving and how is that benefiting you?** Data platform architecture and engineering **Official Response from Jess Darnell:** > We're glad to hear that you appreciate our all-in-one data platform! We understand your concern about some functions not being available across all cloud platforms and we are constantly working to improve compatibility. Thank you for sharing your feedback with us. ### 14. Unified Platform Enhances Data Collaboration and Processing **Rating:** 4.0/5.0 stars **Reviewed by:** Monazah S. | DevOps Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 12, 2026 **What do you like best about Databricks?** I like the Databricks Data Intelligence Platform because it's a unified, scalable platform for data engineering, analytics, and collaboration. It simplifies the process of building and running data pipelines, handles performance-intensive Spark workloads, and promotes collaboration across teams with shared notebooks and environments. It's great for managing and processing large datasets, improving performance, and providing a consistent platform for turning raw data into insights. The initial setup was easy, thanks to helpful documentation. **What do you dislike about Databricks?** It can improve in areas like startup time for clusters, deeper visibility into performance tuning and clearer documentation for advanced configurations. **What problems is Databricks solving and how is that benefiting you?** I use the Databricks Data Intelligence Platform for large-scale data processing and analytics. It simplifies building reliable data pipelines, handles Spark workloads efficiently, reduces operational overhead, and enables team collaboration with shared notebooks. It's great for turning raw data into actionable insights. **Official Response from Janelle Glover:** > We're glad to hear that you find our platform unified, scalable, and easy to use for managing and processing large datasets. We appreciate your feedback and will take your suggestions for improvement into consideration. ### 15. Effortless ETL with Flexible Compute Scaling **Rating:** 5.0/5.0 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 because it's easy to orchestrate, and it handles real-time ingestions well. The ability to set up straight forward is a big plus. I enjoy how it manages streaming jobs and the flexibility of different compute options. The separation of compute means we can increase compute as needed, making it very adaptable. Using the Unity Catalog works well too. I also appreciate the observability dashboards that provide insights. **What do you dislike about Databricks?** Observability dashboards **What problems is Databricks solving and how is that benefiting you?** Databricks handles real-time ingestions and makes it easy to orchestrate and manage streaming jobs. We can adjust compute resources as needed, which is very helpful. **Official Response from Jess Darnell:** > We're happy to hear that Databricks is helping you with real-time ingestions and orchestration, as well as providing flexibility in compute resources. We understand the importance of observability and will continue to work on enhancing our dashboards for better insights. ### 16. Effortless Data Processing with Databricks **Rating:** 5.0/5.0 stars **Reviewed by:** Naveen N. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like using Databricks for its integration with Spark, which we utilize for data processing and creating pipelines to ingest data. Also, I appreciate the super easy initial setup of Databricks. **What do you dislike about Databricks?** No **What problems is Databricks solving and how is that benefiting you?** I use Databricks for model access and as an AI gateway. It's great for data processing with Spark, allowing us to efficiently create pipelines to ingest data. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with Databricks. We're thrilled to hear that it's helping with your data processing and AI gateway needs. ### 17. Simplifies Data Transformation with Easy Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Mike L. | Internal IT Development Group for Accenture, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like Databricks because it simplifies solutions and provides a powerful platform for my clients. I appreciate its simplicity and the new genie feature, as everything I need is there and it can connect to various sources. The initial setup is easy. **What do you dislike about Databricks?** Cost **What problems is Databricks solving and how is that benefiting you?** I use Databricks to simplify solutions, providing a powerful platform for my clients' data transformation programs. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with Databricks. We're thrilled to hear that you appreciate the simplicity and that you're finding Genie beneficial. We understand that cost is a consideration, and we strive to offer competitive pricing and value for our customers. ### 18. Effortless Data Pipelines with Databricks **Rating:** 5.0/5.0 stars **Reviewed by:** Pierre-Loic C. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I find Databricks easy to use for data engineering, especially with its ease in creating data pipelines. I like working with both the compute and notebook features, and the initial setup was very easy. **What do you dislike about Databricks?** The user interface could be improved to be more user-friendly. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for data engineering, and it makes it easy to create data pipelines. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks easy to use for data engineering and pipeline creation. We appreciate your feedback about the user interface, and we're constantly working to improve the user experience. Thank you so much for taking the time to leave a review!! It means so much to us. ### 19. Streamlined MLOps with Versatile Integration **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 that Databricks is fairly straightforward for nontechnical users to get up and running, yet it includes open standards. For more advanced users, you can plug in your favorite open source data tooling. **What do you dislike about Databricks?** Sometimes the Terraform provider doesn't function as expected, especially on updating certain resources. We've run into issues with that. Also, the initial setup was somewhat of a challenge due to our internal structures, like getting new AWS accounts, networking, infrastructure, and passing security reviews. Those were the main bottlenecks. **What problems is Databricks solving and how is that benefiting you?** We use Databricks for our MLOps lifecycle, including model development, deployment, and orchestration. **Official Response from Jess Darnell:** > We appreciate your positive feedback on Databricks' user-friendly interface and support for open source data tooling. We understand the challenges you faced with the Terraform provider and the initial setup process. Your input helps us identify areas for improvement, and we're dedicated to addressing these issues to enhance the overall experience for our users. Thank you for sharing your thoughts. ### 20. User-Friendly and Intuitive for Data Science and ML Teams **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It’s user-friendly and intuitive, especially for data scientists and ML engineers. **What do you dislike about Databricks?** Databricks charges for both cloud infrastructure and Databricks Units (DBUs), so costs can add up quickly if you’re not paying close attention. Interactive clusters that are left running can become expensive, and large-scale ETL, model training, or ad hoc analytics can drive significant spend if they aren’t managed carefully. I’ve also found that attributing costs across teams can be challenging, which makes it harder to understand where usage is coming from and keep budgets under control. **What problems is Databricks solving and how is that benefiting you?** Unified platform for both data engineering and data science **Official Response from Jess Darnell:** > We're thrilled to hear that Databricks is benefiting your data engineering and data science efforts. We understand your concerns about managing costs and attributing them across teams. We are continuously working to improve cost visibility and allocation to help our customers better manage their budgets. Thank you for your valuable feedback. ### 21. Easy AI Agent Setup with Context-Rich Data Access **Rating:** 5.0/5.0 stars **Reviewed by:** Nicholas E. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** How easy is is to setup AI agents with access to our data with the context it needs to answer real questions. **What do you dislike about Databricks?** The ingestion from dynamo and postgres is kind of clunky, I feel like it could be pre built since it is a very common use case. **What problems is Databricks solving and how is that benefiting you?** We're building dashboard for analytics and optimizing our warehouse operations. **Official Response from Janelle Glover:** > Thank you for sharing your experience with setting up AI agents and accessing context-rich data. We understand the importance of smooth data ingestion and will take your feedback into consideration for future improvements. ### 22. Easy to Use but with Room for Improvement in Support **Rating:** 2.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 10, 2024 **What do you like best about Databricks?** I like the ease of use of Databricks and I also value its speed. **What do you dislike about Databricks?** Support and customer service. Our account manager has been changed 6 times, we have done everything on our own, it has the supplier's support. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to simplify the centralization of data consumption, facilitating the transformation and consumption of information at the company level. **Official Response from Janelle Glover:** > Thank you for your feedback. We're pleased to hear that you find our platform easy to use and that it offers a variety of tools. We understand that some platform elements may be confusing, and we are committed to providing more clarity and guidance in these areas. Your input is valuable as we work to enhance the user experience. ### 23. A Dynamic, Ever-Evolving One-Stop Shop **Rating:** 4.0/5.0 stars **Reviewed by:** Andrew H. | Business Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I really enjoy the dynamic of the tool. It constantly evolves as the AI and data space evolves. It strives to be the one stop shop **What do you dislike about Databricks?** The initial complexity. It is difficult to learn and get into without the help of the databricks team **What problems is Databricks solving and how is that benefiting you?** Helping my team create and deploy language models that are unique to my enterprise. **Official Response from Janelle Glover:** > We're glad to hear that you enjoy the dynamic nature of Databricks and its evolution in the AI and data space. We understand that the initial complexity can be challenging, and we're continuously working to improve our onboarding process to make it easier for users to get started. ### 24. Easy to Use with Impressive Integrated AI (Genie) **Rating:** 4.5/5.0 stars **Reviewed by:** Cyrus F. | Data engg manager, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Ease of use and integrated AI including genie **What do you dislike about Databricks?** Cluster starting take longer then anticipated **What problems is Databricks solving and how is that benefiting you?** Setting our data pipelines and worklfows **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks easy to use and appreciate the integrated AI features, including Genie. We apologize for the inconvenience caused by longer-than-anticipated cluster start times. We are continuously working to improve performance and appreciate your feedback. ### 25. A Complete Data Platform That Delivers **Rating:** 5.0/5.0 stars **Reviewed by:** Jimmy Y. | Corporate Head of Data Analytics | Enterprise Data Architect, Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** It’s a complete platform for data analytics. This year, DataBricks has delivered a lot of features for my team, and it has been very helpful for our work. **What do you dislike about Databricks?** Maybe there should be a clearer way to control budgets for compute. **What problems is Databricks solving and how is that benefiting you?** Data is centralized, which helps eliminate data silos and supports a single, consistent approach to data governance. **Official Response from Aunalisa Arellano:** > We're glad to hear that Databricks has been helpful for your team and that you've found it to be a complete platform for data analytics. ### 26. Love Unity Catalog **Rating:** 5.0/5.0 stars **Reviewed by:** Sandeep G. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Unity catalog is amazing I am able to work with delta and iceberg tables and it allows me to use as centralized catalog **What do you dislike about Databricks?** The option to leverage hybrid compute in personal space is unavailable and reliance on server less compute **What problems is Databricks solving and how is that benefiting you?** Moving away from onprem clusters to server less compute and ml platform and now ai agentic platform **Official Response from Jess Darnell:** > We're glad to hear that you are enjoying the Unity catalog feature and the ability to work with delta and iceberg tables. It's great to hear that it's benefiting you in moving away from on-prem clusters to serverless compute and ML platform. ### 27. Excellent Data Intelligence Platform with issues at Scale for some Services **Rating:** 4.5/5.0 stars **Reviewed by:** Siddharth M. | Machine Learning Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It’s excellent when it comes to ingesting and consolidating data. It also provides a suite of tools that are great for performing analytics on the data **What do you dislike about Databricks?** It struggles at scale for its genie and serving products. This forces us to look to other solutions **What problems is Databricks solving and how is that benefiting you?** Data consolidation and pipeline building. Databricks genie code helps writes notebooks very quickly **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks excellent for ingesting and consolidating data, performing analytics, and writing notebooks with Genie Code. We understand your concerns about scalability, and we are continuously working to improve our products to better meet your needs. ### 28. Genie Lets Us Build Fully Customized Apps Fast—Without Losing Flexibility **Rating:** 5.0/5.0 stars **Reviewed by:** Bret F. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** At Church & Dwight, we’ve been thrilled with Genie. It’s enabled us to build fully customized apps quickly, without sacrificing the flexibility we need. **What do you dislike about Databricks?** With Databricks, our biggest challenge is providing non-data-science users with access in a simple, straightforward way. **What problems is Databricks solving and how is that benefiting you?** Databricks is helping us build fast, customizable apps and deliver our code to end users more efficiently. **Official Response from Janelle Glover:** > We're glad to hear that Genie has been a valuable tool for your team in building customized apps quickly while maintaining flexibility. ### 29. Streamlined Onboarding with Powerful Data Capabilities **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 use Databricks for data engineering and analytics. It allows for quick onboarding of data pipelines and is file format agnostic. I find it easy to navigate, which is important for me. I'm also finding it great for exploring new features. The data retrieval is faster, and I appreciate the unified data lake. It's very easy to implement, which made the setup smooth. **What do you dislike about Databricks?** Ingesting Kafka could be better for various vendors. **What problems is Databricks solving and how is that benefiting you?** I find Databricks allows quick onboarding of data pipelines, supports file format agnosticism, enables faster data retrieval, and offers a unified data lake. **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks easy to navigate and that it has been beneficial for your data engineering and analytics needs. We appreciate your feedback about ingesting Kafka and will take it into consideration for future improvements. ### 30. Efficient Data Handling and Sharing with Databricks **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I use Databricks for housing data and visualizing it. It's way faster than SQL, which is a huge advantage. I really like the fact that I can easily share access with my team, which makes collaboration smooth. The dashboards specifically make life easy, streamlining processes significantly. The initial setup was super easy, thanks to my great team. **What do you dislike about Databricks?** I think product announcements could be more clear. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for housing and visualizing data. It's way faster than SQL and cost-effective for scale. I easily share access with my team, and dashboards make life easy. **Official Response from Janelle Glover:** > We're glad to hear that Databricks has been efficient for housing and visualizing your data, and that it has streamlined collaboration for your team. We appreciate your feedback about product announcements, and we'll take that into consideration for future improvements. ### 31. Modern Platform that Transforms the ML Workflow **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like that Databricks is a very modern platform and very well integrated with data. It allows me to work with them very quickly, especially thanks to Spark. Also, it's great how they are welcoming all of us and how much we are learning. **What do you dislike about Databricks?** The integration and observability when using the RAID library. Also, I suggest improving the monitoring of model training in parallel. **What problems is Databricks solving and how is that benefiting you?** Databricks helps me throughout the MLOps workflow, from experimentation to production, including tracking, observability, model registry, versioning with MLFlow, and permission management with Unity Catalog. **Official Response from Aunalisa Arellano:** > We're thrilled to hear that Databricks has been beneficial for you in the MLOps workflow, from experimentation to production. Your feedback on the RAID library integration and on monitoring model training in parallel is valuable, and we will be sure to share it with the team. Thank you for choosing Databricks! ### 32. Databricks Transformed Our Data Workflow with AI/BI Dashboards and Genie **Rating:** 5.0/5.0 stars **Reviewed by:** Swapnil B. | Administrative Assistant, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks has transformed how our team interacts with data. AI/BI Dashboards, your data and visuals in the same place Genie to ask questions, discover trustworthy data and go from idea to analysis with the click of a few buttons. **What do you dislike about Databricks?** No easy cost guardrails for Serverless offerings. Product name changes **What problems is Databricks solving and how is that benefiting you?** Data Modeling Data Governance Custom data activation **Official Response from Jess Darnell:** > We're glad to hear that Databricks has transformed how your team interacts with data and that you're enjoying the AI/BI Dashboards and Genie features. We understand your concerns about the cost guardrails for Serverless offerings and the product name changes. We'll take your feedback into consideration for future improvements. ### 33. Robust ETL with Unified Governance, but Complex UI **Rating:** 4.5/5.0 stars **Reviewed by:** vivek b. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I appreciate Databricks for its unified governance which I find beneficial. The initial setup was good, which made getting started easier. **What do you dislike about Databricks?** I find the UI to be hectic with a lot of components, which can be overwhelming. There are also some limitations in SFTP. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for ETL processes with lakeflow connect and unified governance. **Official Response from Janelle Glover:** > We're glad to hear that you appreciate Databricks for its unified governance and easy setup. We understand your concerns about the UI and limitations in SFTP, and we are constantly working to improve the user experience and address any limitations. ### 34. Effortless Setup, Minimal Configuration Required **Rating:** 5.0/5.0 stars **Reviewed by:** Magesh kumar N. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 01, 2026 **What do you like best about Databricks?** I use Databricks to create pipelines and data models, and I really like its minimal need for configuration. It helps me reduce the time spent on configuring accounts and processes. Databricks manages these tasks well, making my work easier. The initial setup was straightforward too, thanks to the guidance provided through the playground feature. **What do you dislike about Databricks?** My suggestion is to have a Genie update more as to have validations and have the table mapping in it. **What problems is Databricks solving and how is that benefiting you?** I find Databricks makes my work easy by minimizing the need for configuration and automating workflows, saving me time. **Official Response from Janelle Glover:** > We're thrilled to hear that Databricks has been instrumental in minimizing the need for configuration and automating workflows, making your work easier and saving you time. Your feedback about the Genie update and table mapping is valuable, and we'll keep it in mind for future enhancements. ### 35. Unified Analytics Platform with Easy Setup **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I love the Genie feature in Databricks. The lineage graph is also something I appreciate, as it allows our users to understand where their data comes from. Additionally, setting up Databricks was very easy for me and my team. **What do you dislike about Databricks?** We need we're still trying to understand how to utilize Databricks apps for our business users rather than our technical users. **What problems is Databricks solving and how is that benefiting you?** Databricks provides one platform for all our data analytics, acting as a single source of truth. It allows our users to understand where their data comes from through features like the lineage graph. **Official Response from Jess Darnell:** > We're glad to hear that you love the Genie feature and find the lineage graph useful. We understand the need to make Databricks apps more accessible for business users and we are continuously working on improving the user experience for all types of users. ### 36. Databricks: Fast Workloads & Easy Setup **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I really appreciate the faster workloads and optimized execution Databricks provides, especially with its optimized Spark capabilities. Having an account manager has also been beneficial. The initial setup was easy, which made the transition smoother. **What do you dislike about Databricks?** I feel there could be more customer engagement. It seems like there should be more focus on solving custom problems and understanding business-level needs. It would be helpful to know where structured and unstructured data is used and what value it produces. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for faster and optimized workloads, especially with Spark, enhancing data engineering and processing. **Official Response from Janelle Glover:** > We're glad to hear that you appreciate the faster workloads and optimized execution Databricks provides, as well as the easy setup and the support from your account manager. ### 37. Notebooks and Agent Platform That Deliver **Rating:** 5.0/5.0 stars **Reviewed by:** Rakesh B. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Notebooks, agent platforms, genie, data monitoring **What do you dislike about Databricks?** Integration with airflow sometimes is a pain. **What problems is Databricks solving and how is that benefiting you?** Data processing Rag applications Dashboards **Official Response from Jess Darnell:** > Thank you for sharing your feedback! We're glad to hear that you enjoy using our notebooks, agent platforms, Genie, and data monitoring features. We understand that integration with airflow can be challenging at times, and we're continuously working to improve our integration capabilities to provide a better experience for our users. ### 38. All-in-One Platform With Easy Integrations, Great Support, and AI-Powered Help **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 01, 2026 **What do you like best about Databricks?** Everthing in one place and easy integration with tools User friendly interface and great support team can handle begineer to production workflow with speed and ease Costing is resonable we are able to access everything in one place with minimal integration. And has vast support with AI. **What do you dislike about Databricks?** The only downside is its cost, which is negligible. **What problems is Databricks solving and how is that benefiting you?** Databricks is handling our production workflows efficiently. **Official Response from Jess Darnell:** > Thank you for highlighting the ease of integration and the support you've received. We're committed to providing a seamless experience and are glad to hear it's benefiting your production workflows. ### 39. Powerful Platform for Data and AI **Rating:** 5.0/5.0 stars **Reviewed by:** Francesco S. | Senior Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Its collaborative environment, scalability, and seamless integration with cloud services make it easier to turn data into actionable insights efficiently. **What do you dislike about Databricks?** One aspect I dislike about Databricks is that its pricing and resource management can sometimes be complex **What problems is Databricks solving and how is that benefiting you?** Databricks helps solve the challenge of managing and analyzing large volumes of data across different teams and workflows **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks collaborative, scalable, and seamlessly integrated with cloud services. We're continuously working to improve our pricing and resource management to make it more user-friendly. ### 40. Senior Data Officer **Rating:** 5.0/5.0 stars **Reviewed by:** Ravikumar P. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I use Genie Agent to find information on financial and operations **What do you dislike about Databricks?** I had to create a separate data schema for Genie Agent and for dashboard I have to use separate data schema schema. Hopefully with the dashboard integration we can live with just one. **What problems is Databricks solving and how is that benefiting you?** We are able to integrate the data from different source systems **Official Response from Janelle Glover:** > We're glad to hear that Databricks is helping you integrate data from different source systems and that you've found Genie helpful. We understand your feedback about the separate data schema and dashboard integration, and we are continuously working to improve our platform to better meet your needs. ### 41. Powerful Integration, Slow Initial Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Juan Camilo C. | Especialista Analítica y Desarrollo del Mercado, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like to use Databricks because it allows me to develop analyses that examine the company's historical data. This facilitates business decision-making. **What do you dislike about Databricks?** The initial process was slow, due to the learning phase of implementation. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to solve complex problems, facilitating the analysis of historical data, which allows for informed business decisions. **Official Response from Jess Darnell:** > We're glad to hear that Databricks has been beneficial for your business decision-making with historical data analysis. We understand that the initial setup process can be challenging, but we're constantly working to improve the onboarding experience for our users. ### 42. Feature-Rich Databricks: Genie, Lakehouse Connect, and Streaming Tables Shine **Rating:** 5.0/5.0 stars **Reviewed by:** Gowtham s. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 31, 2026 **What do you like best about Databricks?** Databricks has many features compared to other platforms. The key ones I’ve noticed are Genie, Lakehouse Connect, and streaming tables. **What do you dislike about Databricks?** One thing I’ve noticed in Databricks is that we aren’t able to deploy alerts from one environment to another. **What problems is Databricks solving and how is that benefiting you?** Databricks addresses key data challenges like siloed tools, scalability limits, and complex governance in modern analytics. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping you address key data challenges and providing benefits in modern analytics. We're glad to hear that you're benefiting from using Genie, Lakehouse Connect, and streaming tables. ### 43. Streamlines Data Engineering with Ease **Rating:** 5.0/5.0 stars **Reviewed by:** arun v. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2026 **What do you like best about Databricks?** I really appreciate Databricks for its manageability. The cluster management, unified workspace, optimization, and versioning are all aspects I find incredibly valuable. The console has all the tools readily available, which is super convenient for our large scale data engineering projects. Also, the initial setup was super easy, making it a smooth transition into using the platform. **What do you dislike about Databricks?** norhing much **What problems is Databricks solving and how is that benefiting you?** I use Databricks for large scale data analysis, processing, and machine learning. It makes cluster management, workspace unification, optimization, and versioning easy with all tools handy in the console. **Official Response from Janelle Glover:** > We're pleased to hear that Databricks has been beneficial for your large scale data analysis, processing, and machine learning needs. We appreciate your feedback and look forward to continuing to support your data engineering efforts. ### 44. Highly Personalizable Tool That Makes Collaboration Easy **Rating:** 5.0/5.0 stars **Reviewed by:** Ariadna G. | Especialista en Cobranza, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It can be personalized, which makes it easier to use and to collaborate with others. **What do you dislike about Databricks?** You have to learn a lot, and it’s always introducing new features, so there’s continually more to learn. **What problems is Databricks solving and how is that benefiting you?** Centralizing legacy information helps reduce the effort needed to process it and allows the whole company to stay focused on analysis. **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks highly personalizable and easy to collaborate with. Our goal is to make the platform as user-friendly as possible. ### 45. Powerful AI Platform with Room for Metadata Improvement **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** I like the most is the capability to support all the AI operations. I also like the knowledge assistant a lot. **What do you dislike about Databricks?** I like the knowledge assistant a lot, but it's lacking the ability to support rich metadata ingestion. I wanted to use the knowledge assistant alongside filters from the metadata that I input into a table or a file, but currently, I cannot do that. **What problems is Databricks solving and how is that benefiting you?** I use Databricks as our data platform for AI and data analytics. It solves handling large volumes of data, ML, AI operations, and advanced data analytics. **Official Response from Janelle Glover:** > We're thrilled to hear that Databricks is meeting your needs for AI operations and data analytics. We appreciate your feedback on metadata ingestion and will take it into account for future improvements. ### 46. Databricks: A Cohesive Platform with Powerful AI/ML Features **Rating:** 4.0/5.0 stars **Reviewed by:** Joshua G. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks is a cohesive system that allows you to work with your existing cloud vendor and provides useful AI/ML features **What do you dislike about Databricks?** Poor local IDE integrations. Docs are sometimes difficult to navigate **What problems is Databricks solving and how is that benefiting you?** Serves as a platform for us to bring all our data together, annotate, and perform analytical operations on top. Also AI/ML model tracking **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping you bring all your data together, annotate, and perform analytical operations, as well as track AI/ML models. ### 47. Smooth Setup, High-Speed AI Automation **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** I like the AI agents in Databricks, which are super helpful. The feature I appreciate the most is the Genie code as it has reduced our processing time and increased the speed of delivery significantly. The initial setup was smooth and efficient. **What do you dislike about Databricks?** I don't like the interface groupings of the pipelines dashboard and feel that it could be improved with foldering capabilities and access grants at the folder level. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for coding, error fixing, machine learning, and automation. Its Genie code feature reduces time and boosts delivery speed. **Official Response from Janelle Glover:** > We're glad to hear that you are enjoying the AI agents and Genie Code, and that the initial setup was smooth. ### 48. Effortless Data Management with Comprehensive Features **Rating:** 4.5/5.0 stars **Reviewed by:** Vinoth S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like the full stack capabilities of Databricks. It provides the end-to-end tools one would need for data, which is very useful for all my data projects. The setup was also easy. **What do you dislike about Databricks?** Nothing. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for all data projects. It solves all data problems with its full stack, providing an end-to-end solution. **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks' full stack capabilities and easy setup useful for your data projects! ### 49. Centralized Governance and Fine-Grained Access Control with Unity Catalog **Rating:** 4.0/5.0 stars **Reviewed by:** Vigneshwar K. | Senior Technical Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** March 27, 2026 **What do you like best about Databricks?** What I like best about Unity Catalog in Databricks is its ability to provide centralized data governance and fine-grained access control across all data assets, making it easier to manage and secure data in a collaborative environment. **What do you dislike about Databricks?** I created a notebook with more than 70 cells that I use to parse XML files. When I try to debug issues using Genie, it doesn’t work properly and ends up hanging. **What problems is Databricks solving and how is that benefiting you?** I used Spark functions to define the XML structure dynamically, assigning mpid and mpparentid as needed. This approach has been very beneficial for me. **Official Response from Janelle Glover:** > Thanks for sharing your feedback! We're glad to hear that you find Unity Catalog helpful for centralized data governance and access control. ### 50. Easy Setup and Insights with Databricks **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 think Databricks is a great tool for business insights, which has helped solve the computer cost issue for me. I find it easy to use, and the Genie feature is the best. The initial setup was way easy, and I’d definitely recommend it to a friend or colleague. **What do you dislike about Databricks?** Cost optimization is a concern. I feel Databricks should show the true cost. **What problems is Databricks solving and how is that benefiting you?** I use Databricks for business insights. It's easy to use and solved the computer cost issue. However, it could improve on cost optimization by showing the true cost. **Official Response from Jess Darnell:** > We're thrilled to hear that Databricks has been a great tool for your business insights and that you found the setup easy. We take your feedback about cost optimization seriously and are continuously working to improve transparency around pricing. ## 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=7§ion=pricing&secure%5Bexpires_at%5D=2026-08-15+08%3A36%3A48+-0500&secure%5Bsession_id%5D=290e14b7-540e-41d8-9470-90d9e9f2793a&secure%5Btoken%5D=6469a6e9e9e73bb8bda411c2b5071d3c1aed6ebeb91791ec226713804380d573&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) - [GitLab](https://www.g2.com/products/gitlab/reviews) - [Google Analytics](https://www.g2.com/products/google-analytics/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Google Cloud Run](https://www.g2.com/products/google-cloud-run/reviews) - [HubSpot Marketing Hub](https://www.g2.com/products/hubspot-marketing-hub/reviews) - [Microsoft Copilot Studio](https://www.g2.com/products/microsoft-microsoft-copilot-studio/reviews) - [Microsoft Excel](https://www.g2.com/products/microsoft-excel/reviews) - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews) - [Microsoft Power Apps](https://www.g2.com/products/microsoft-power-apps/reviews) - [Microsoft Power Automate](https://www.g2.com/products/microsoft-power-automate/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [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) - [Sisense](https://www.g2.com/products/sisense/reviews) - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Spark](https://www.g2.com/products/apache-spark/reviews) - [Spark SQL](https://www.g2.com/products/spark-sql/reviews) - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [Unity Catalog Command Center](https://www.g2.com/products/unity-catalog-command-center/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [Workday HCM](https://www.g2.com/products/workday-hcm/reviews) ## Databricks Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - 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)