--- title: Databricks Reviews meta_title: 'Databricks Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 1348 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: 1348 scale: '5' date_modified: '2026-07-22' 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:** 1,348 ## About Databricks Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. ## Databricks Pros & Cons **What users like:** - Users 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. 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. ### 2. 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. ### 3. 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. ### 4. 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. ### 5. 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. ### 6. 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. ### 7. 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. ### 8. 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. ### 9. 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. ### 10. 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. ### 11. 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. ### 12. 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. ### 13. 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! ### 14. 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. ### 15. 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. ### 16. 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. ### 17. 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. ### 18. 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. ### 19. 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. ### 20. 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. ### 21. 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. ### 22. 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. ### 23. 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. ### 24. 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. ### 25. 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. ### 26. 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. ### 27. 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. ### 28. 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. ### 29. 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. ### 30. 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! ### 31. 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. ### 32. 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. ### 33. Versatile Platform with Easy Setup and Open Architecture **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 Databricks for its open architecture and the ability to work on different cloud platforms. It provides flexibility because clients aren't locked into a specific vendor, giving them options to use different vendors. This also allows them to better utilize specialist skills and coding knowledge. The initial setup was also very easy. **What do you dislike about Databricks?** Nothing **What problems is Databricks solving and how is that benefiting you?** Databricks allows my clients to replace expensive vendor solutions, build custom solutions in their finance transformation, and offers the open architecture to work across different cloud platforms, providing flexibility and the ability to leverage specialized skills. **Official Response from Aunalisa Arellano:** > We're thrilled to hear that you appreciate Databricks' open architecture and flexibility across different cloud platforms. Our goal is to provide a versatile platform that meets the diverse needs of our customers. Thank you so much for taking the time to leave a review! ### 34. User-Friendly Platform with Outstanding Support **Rating:** 5.0/5.0 stars **Reviewed by:** Cynthia W. | Data Analyst, Biotechnology, Mid-Market (51-1000 emp.) **Reviewed Date:** December 17, 2025 **What do you like best about Databricks?** I have used approx. number of Data Analytics platform but the user friendly enviornment and features of Databricks gives always reliable and satisfactory experience to me that gives a confidence to handle large data sets without any problem. **What do you dislike about Databricks?** Never have any issue with their services instead they gives a best user support to us to manage all our AIML integrations and new AI implementations. **What problems is Databricks solving and how is that benefiting you?** We have mainly use Databricks for our data warehousing and analytical use cases and also their multiple features like AIML and ETL integration gives best infrastructure to manage all data related task at one place without any issue and confusion. **Official Response from Janelle Glover:** > It's great to hear that Databricks has been instrumental in solving your data warehousing and analytical use cases. We strive to provide a comprehensive platform with seamless AIML and ETL integration for our users' benefit. ### 35. Effortless ML & AI with Robust Ecosystem **Rating:** 4.5/5.0 stars **Reviewed by:** FNU R. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I use Databricks for ML and AI, and I really like the ecosystem it offers. Everything about it is awesome. I particularly appreciate MLFlow, the AI gateway, and the experiments feature. The initial setup was super easy. **What do you dislike about Databricks?** None **What problems is Databricks solving and how is that benefiting you?** I use Databricks for model training, registering, evaluation, and deployment with ML and AI. **Official Response from Jess Darnell:** > We're glad to hear that Databricks is meeting your needs for ML and AI, and that you appreciate the ease of the initial setup. Thank you for choosing Databricks for your model training, registering, evaluation, and deployment. ### 36. 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. ### 37. 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. ### 38. 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. ### 39. 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. ### 40. 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. ### 41. 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. ### 42. 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. ### 43. 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! ### 44. 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. ### 45. 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. ### 46. 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. ### 47. 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. ### 48. 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. ### 49. 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. ### 50. 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. ## 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&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-07-23+10%3A33%3A57+-0500&secure%5Bsession_id%5D=ee6a1521-2684-47ba-b888-274d8f221153&secure%5Btoken%5D=01b4e89cd7744404bea4392ed701c79b44357bbbfb9fa8558725cef95ff3b7ee&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) - [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) - [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 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) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [Workday HCM](https://www.g2.com/products/workday-hcm/reviews) ## Databricks Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Management** - Reporting - Auditing **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Scalability and Performance - Generative AI Infrastructure** - AI High Availability - AI Model Training Scalability - AI Inference Speed **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Traffic Management & Performance - AI Gateways** - Token-Aware Rate Limiting - Semantic Caching - Multi-Model Routing & Fallbacks **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Security** - Access Control - Roles Management - Compliance Management **Operations** - Metrics - Infrastructure management - Collaboration **Analytics** - Analytics capabilities - Dasboard visualizations **Cost and Efficiency - Generative AI Infrastructure** - AI Cost per API Call - AI Resource Allocation Flexibility - AI Energy Efficiency **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation **Governance & Observability - AI Gateways** - Data Privacy - Cost Tracking - Centralized API Key Security **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - On-Premise - Cloud **Security** - Data Encryption - User Access Control **Maintainence** - Data Quality Management - Policy Management **Management** - Cataloging - Monitoring - Governing **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Integration and Extensibility - Generative AI Infrastructure** - AI Multi-cloud Support - AI Data Pipeline Integration - AI API Support and Flexibility **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Security and Compliance - Generative AI Infrastructure** - AI GDPR and Regulatory Compliance - AI Role-based Access Control - AI Data Encryption **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Generative AI** - AI Text Generation - AI Text Summarization **Usability and Support - Generative AI Infrastructure** - AI Documentation Quality - AI Community Activity **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Databricks Alternatives - [Cloudera](https://www.g2.com/products/cloudera/reviews) - 4.1/5.0 (131 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (708 reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - 4.3/5.0 (356 reviews)