--- title: Databricks Reviews meta_title: 'Databricks Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 1362 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: 1362 scale: '5' date_modified: '2026-08-06' 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:** 1,362 ## About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. ## Databricks Pros & Cons **What users like:** - Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications. (192 reviews) - Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services. (154 reviews) - Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency. (141 reviews) - Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights. (114 reviews) - Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization. (112 reviews) - Scalability (111 reviews) - ML Integration (106 reviews) - Users appreciate the **easy integrations** of Databricks, seamlessly connecting with cloud infrastructure and enhancing data management. (102 reviews) - Machine Learning (97 reviews) - Users value the **effective data management features** of Databricks, simplifying their workflows and enhancing decision-making. (87 reviews) **What users dislike:** - Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability. (78 reviews) - Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects. (71 reviews) - Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools. (64 reviews) - Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes. (45 reviews) - Users face **complex setup** challenges initially, though support helps simplify the experience over time. (35 reviews) - Performance Issues (34 reviews) - Users face **unintuitive UI issues** that lead to random errors and complicate the experience for non-technical users. (34 reviews) - Poor UI Design (33 reviews) - Users express frustration over **missing features** in Databricks, limiting its effectiveness for complex deployments and custom setups. (31 reviews) - Cost (29 reviews) ## Databricks Reviews ### 1. Great Product with Great Features **Rating:** 4.5/5.0 stars **Reviewed by:** Dineshwar E. | Solution Design Architect/ Software Engineering Manager, Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** great product and great features on genie code and app builder **What do you dislike about Databricks?** none right now! we have been using for 1 year now **What problems is Databricks solving and how is that benefiting you?** we are from health care and we have lot of use cases **Official Response from Aunalisa Arellano:** > We're thrilled to hear that you are enjoying Databricks and its features, especially the Genie Code and app builder! Thank you for taking the time to share your thoughts! It means so much to us. ### 2. Unity Catalog and Asset Bundle (DAB) Deliver Strong Value **Rating:** 5.0/5.0 stars **Reviewed by:** Vijay V. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 01, 2026 **What do you like best about Databricks?** Unity catalog and asset bundle (DAB), DLT **What do you dislike about Databricks?** Some restriction with unity catalog, like the controls, external location vs volume **What problems is Databricks solving and how is that benefiting you?** Creation a good governance data layer for consumption **Official Response from Jess Darnell:** > We're glad to hear that you find value in our Unity catalog and asset bundle (DAB) feature. We appreciate your feedback about the restrictions with unity catalog, and we'll take it into consideration for future improvements. ### 3. Genie: A True One-Stop Shop, All in One Place **Rating:** 4.5/5.0 stars **Reviewed by:** Rhys F. | Intern, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Genie, all in one place, one stop shop software **What do you dislike about Databricks?** Its a lot, UX and indicators could be more straightforward **What problems is Databricks solving and how is that benefiting you?** How can I get an environment for engineers to play with data without screwing production? **Official Response from Janelle Glover:** > Thank you for sharing your thoughts on Databricks and Genie. We understand the importance of having a user-friendly interface and clear indicators, and we're constantly working to enhance the platform for a better user experience. ### 4. Senior Financial Analyst **Rating:** 5.0/5.0 stars **Reviewed by:** Erica F. | Senior Financial Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The genie helps Fox my queries and notebooks. It’s reliable and fast. **What do you dislike about Databricks?** Sometimes navigating for new users is tricky. Finding saved notebooks was difficult originally. **What problems is Databricks solving and how is that benefiting you?** Huge data sets and aggregations all one one place. **Official Response from Janelle Glover:** > We're glad to hear that you find Databricks reliable and fast, and that Genie has been helpful! ### 5. Agile Platform That Keeps Us Moving Fast **Rating:** 4.5/5.0 stars **Reviewed by:** ATUL P. | Client Partner - Large Telecom Account , Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** UC is having agile platform n value realisation **What do you dislike about Databricks?** Accelerators- third party accelerators sometime don’t bring **What problems is Databricks solving and how is that benefiting you?** combining data engineering, data warehousing, AI/ML, and GenAI on a single platform rather than treating them as separate systems. **Official Response from Jess Darnell:** > We're glad to hear that you are enjoying the agile platform and value realization with Databricks! Thank you for your feedback on the third-party accelerators. We are constantly working to improve our offerings and will take your comments into consideration. ### 6. Declarative Pipelines Made Easy **Rating:** 4.5/5.0 stars **Reviewed by:** vamsi k. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Declarative pipelines which made it easy to extend **What do you dislike about Databricks?** Managing permissions for tables is not seemless and can be improved **What problems is Databricks solving and how is that benefiting you?** Data processing from different sources scheduled simultaneously in a job and loaded to fact tables **Official Response from Jess Darnell:** > Thank you for sharing what you like best about Databricks! We're glad to hear that the declarative pipelines have made it easy for you to extend. We understand your concerns about managing permissions for tables and will take this feedback into consideration for future improvements. ### 7. Fully Integrated Tech Stack with Innovative Solutions **Rating:** 5.0/5.0 stars **Reviewed by:** Khang N. | Senior Reporting Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Fully integrated tech stack and innovative technology solutions **What do you dislike about Databricks?** How to keep costs down when scaling at the enterprise level **What problems is Databricks solving and how is that benefiting you?** Data democratisation and allowing users to get quick access to data. Genie has been amazing **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive feedback about Databricks! We're thrilled to hear that you appreciate our fully integrated tech stack and innovative solutions. Regarding your concern about keeping costs down when scaling at the enterprise level, we understand the importance of cost efficiency. Our team is continuously working on optimizing our pricing structure to provide the best value for our customers. We're glad to hear that Databricks is helping solve data democratization challenges and providing quick access to data. We appreciate your support and are here to assist with any further questions or assistance you may need. Feel free to reach out to us for more information or support. Thank you for choosing Databricks! ### 8. Powerful Data & AI Collaboration Infrastructure **Rating:** 5.0/5.0 stars **Reviewed by:** Pushya V. | Summer Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The entire infrastructure of collaboration of data and ai **What do you dislike about Databricks?** The lack of visualizations when the dashboards are built , need more visuals **What problems is Databricks solving and how is that benefiting you?** The integration of data storage and visualization and answering based on insights **Official Response from Jess Darnell:** > We're glad to hear that you appreciate our collaboration infrastructure for data and AI. We understand the importance of visualizations and are continuously working to enhance our dashboard capabilities to provide more visuals for better insights. ### 9. Powerful, Easy-to-Use Databricks—Genie Code Supercharges Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** As a data analyst, I love using Databricks. It's powerful, easy to use, and helps me work efficiently with large datasets. Genie Code is my favorite feature—it saves time and makes analysis much faster. Highly recommended! **What do you dislike about Databricks?** I do find the UI a little cluttered. I prefer to use a notebook and tend have too many cells. I also struggle with catalog navigation, I would like to search within a schema. **What problems is Databricks solving and how is that benefiting you?** Analytics **Official Response from Aunalisa Arellano:** > Thank you for recommending Databricks and for sharing your favorite feature, Genie Code (it is such a great tool!) We understand your concerns about the cluttered UI and catalog navigation, and we'll share this with our product team so they can take it into consideration for future updates. ### 10. Great Platform, But the Experience Needs Improvement **Rating:** 2.5/5.0 stars **Reviewed by:** Kenza S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 18, 2026 **What do you like best about Databricks?** The platform and the customer service as well as how easy it is to use **What do you dislike about Databricks?** The migration to Databrcikd can be hard.. and that's something that should be smoother **What problems is Databricks solving and how is that benefiting you?** Data science, data management **Official Response from Janelle Glover:** > We're glad to hear that you appreciate our platform and customer service. We understand that migration can be challenging, and we are continuously working to improve the process to provide a smoother experience for our users. ### 11. Great platform for big data and ML, with some learning curve **Rating:** 4.5/5.0 stars **Reviewed by:** Amit K. | Build Connx, Small-Business (50 or fewer emp.) **Reviewed Date:** August 08, 2025 **What do you like best about Databricks?** What I really like about Databricks is how it brings everything—data engineering, analytics, and machine learning—into one place. It saves a lot of time when switching between workflows. The collaborative notebooks are super handy when working with a team, and the Spark integration just works without much hassle. Delta Lake is also a plus—being able to manage large datasets with versioning and ACID support is honestly a lifesaver in production scenarios. **What do you dislike about Databricks?** The platform can feel a bit intimidating at first, especially if you're new to big data tools. Setting up clusters and understanding the pricing model took me a while. Also, the UI sometimes lags when you're dealing with large notebooks or switching between multiple tabs. I wish the onboarding was a bit more beginner-friendly **What problems is Databricks solving and how is that benefiting you?** Databricks helps us streamline our entire data pipeline — from ingestion to analytics to machine learning. Earlier, managing large-scale datasets and running ML models used to be fragmented across tools, but Databricks made it way smoother. It saves us a lot of dev time and reduces the friction between data engineering and data science teams. Having everything in one place also makes debugging and scaling much easier. **Official Response from Aunalisa Arellano:** > We're glad to hear that you're enjoying the comprehensive features of Databricks, including the seamless integration of data engineering, analytics, and machine learning. The collaborative notebooks and Delta Lake capabilities are designed to enhance productivity and efficiency. ### 12. Impressive, Ever-Improving Features That Deliver Real Value **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Features, the capability to bring your impressive, constantly iterating and improving market share, and how they approach it is all really useful **What do you dislike about Databricks?** Sometimes there's too much, so there are a number of ways of doing things that are quite confusing. You try to figure out the best way or the cheapest way of doing it **What problems is Databricks solving and how is that benefiting you?** DH Bricks is kind of key to our strategy and sits under a number of initiatives **Official Response from Janelle Glover:** > We're glad to hear that you find our features impressive and valuable. We're constantly working on improving our platform to provide the best experience for our users. ### 13. Super Easy Setup and Data Source Integration for Quick ROI **Rating:** 5.0/5.0 stars **Reviewed by:** Arturo S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 11, 2026 **What do you like best about Databricks?** Setting up and integration into data sources was super easy… allowed for quick ROI **What do you dislike about Databricks?** So far my interactions with the Databricks platform have been positive **What problems is Databricks solving and how is that benefiting you?** Connecting various data sources into a single platform to then consume **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping you connect various data sources into a single platform for consumption, providing a valuable benefit for your organization. ### 14. Love the Unified Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Jay M. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Unified platform to build dashboard and understand the underlying data. **What do you dislike about Databricks?** Nothing yet, have liked everything so far. **What problems is Databricks solving and how is that benefiting you?** A single warehouse to store data and also a single platform to utilize the stored data **Official Response from Jess Darnell:** > It's great to hear that Databricks is solving the challenge of having a single warehouse for data storage and providing a unified platform for utilizing the stored data. We appreciate your support and look forward to continuing to meet your needs. ### 15. Centralized Data That Simplifies Everything **Rating:** 5.0/5.0 stars **Reviewed by:** Nadja P. | Business Intelligence Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Data is centralized, and genie is very helpful **What do you dislike about Databricks?** Compute costs are very high. And the in line chat code assistente isn’t good **What problems is Databricks solving and how is that benefiting you?** Helps debug the code, and I use the interface for building **Official Response from Jess Darnell:** > It's great to hear that Databricks is simplifying your data management and code debugging processes. We're committed to providing a seamless experience for our users. ### 16. A Simple and Accessible Pillar for Data Engineering **Rating:** 5.0/5.0 stars **Reviewed by:** Fabien C. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I appreciate that Databricks is simple and offers ease of access. The initial setup was very easy. **What do you dislike about Databricks?** Nothing **What problems is Databricks solving and how is that benefiting you?** Databricks solves complex problems. I appreciate its simplicity and ease of access. **Official Response from Aunalisa Arellano:** > We're glad to hear that you found Databricks simple and easy to access! Our goal is to provide a user-friendly platform for data engineering tasks. Thank you so much for taking the time to leave a review! ### 17. Powerful Computing with Seamless Connectivity **Rating:** 4.5/5.0 stars **Reviewed by:** Sajal M. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I really like the computing power and how seamless it is to connect. **What do you dislike about Databricks?** It’s expensive, and the cluster management is a mess. **What problems is Databricks solving and how is that benefiting you?** I use it for large-scale compute, especially when running Spark jobs. **Official Response from Aunalisa Arellano:** > We're thrilled that you find Databricks powerful and easy to connect with. We acknowledge your feedback about the cost and cluster management challenges, and we're actively working on enhancing these aspects for a better user experience. ### 18. Winning the AI Race **Rating:** 5.0/5.0 stars **Reviewed by:** Jerry C. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks Winning the artificial intelligence race with array of products powered with scalability and governance **What do you dislike about Databricks?** Some times product are half baked provided by databricks **What problems is Databricks solving and how is that benefiting you?** End to end data integration and data serving . **Official Response from Aunalisa Arellano:** > Thank you for sharing your feedback with us! We're thrilled to hear that you appreciate Databricks’ array of products for AI and data integration. Your feedback helps us in our mission to deliver high-quality, scalable, and governance-driven products. If there are specific areas you'd like us to address or if you have any further feedback, please feel free to reach out. We're here to ensure your experience with Databricks is exceptional. Thank you for choosing Databricks for your data integration and serving needs! ### 19. Great UI and a Straightforward, Linear Learning Curve. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 22, 2026 **What do you like best about Databricks?** The UI is great compared to other providers. It’s easy to work with, and the learning curve feels linear and straightforward. **What do you dislike about Databricks?** Consumption-based costs are on the higher side, and it can be difficult for users who aren’t proficient in Python or Spark. **What problems is Databricks solving and how is that benefiting you?** A centralised data warehouse, with notebooks running on top of it for further analysis and ML use cases. **Official Response from Jess Darnell:** > We're glad to hear that you find our UI great and the learning curve straightforward. We strive to make it easy for our users to work with Databricks. ### 20. Versatile, Available, and Well-Supported **Rating:** 5.0/5.0 stars **Reviewed by:** faiz s. | Intern, Mid-Market (51-1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** It’s variety in use and availability and support **What do you dislike about Databricks?** Limited ability in terms of usage and application in the community edition **What problems is Databricks solving and how is that benefiting you?** It helps solve issues around data usage and supports clearer data definition. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping you solve data usage issues and support clearer data definition. We're committed to providing solutions that benefit our users. ### 21. Databricks: One Platform for Everything We Need **Rating:** 5.0/5.0 stars **Reviewed by:** José Victor M. | IT Systems Technician, Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** I really really like the one platform for all the capabilities that we need! **What do you dislike about Databricks?** I do not dislike anything right now in databricks! **What problems is Databricks solving and how is that benefiting you?** Data democratization, time to market of our data deliverables **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping with data democratization and improving the time to market of your data deliverables. We appreciate your feedback! ### 22. Transforms Data Management with Exceptional Support **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I appreciate how Databricks helps with data governance, query engine, storage, and AI. I like that Genie helps us democratize data to business users for faster insights generation. The initial setup was easier with the help from the Databricks folks. **What do you dislike about Databricks?** Costs can shoot up if we are not careful **What problems is Databricks solving and how is that benefiting you?** Databricks helps with data governance, query engine, storage, and AI. Genie feature democratizes data to business users for quicker insights generation. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with Databricks. We're pleased that you find our platform helpful for managing data and using Genie to generate faster insights. We understand the importance of cost management and are committed to providing value for our customers. ### 23. Automation and Speed with Intuitive Interface **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like the simplicity and interface of Databricks, as well as the Unity Catalog, as they help in data governance and in building workflows. Additionally, I appreciate the platform's response speed and that the initial setup was straightforward. **What do you dislike about Databricks?** Dashboards are not a very visual interface. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to automate processes, improving response speed and facilitating data governance and flow construction. **Official Response from Janelle Glover:** > We're happy to hear that you find Databricks' interface and Unity Catalog beneficial for data governance and workflow building. We understand the importance of response speed and are glad that the initial setup was straightforward for you. Thank you for sharing your feedback on the dashboard interface, and we will take it into account as we continue to improve our platform. ### 24. Efficient Unified Platform for Scalable Data Processing **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 12, 2026 **What do you like best about Databricks?** I like how Databricks simplifies big data processing with a unified platform for data engineering, analytics, and machine learning. Its seamless integration with Spark and scalability makes handling large datasets much more efficient. **What do you dislike about Databricks?** The cost can become quite high with heavy usage, especially if clusters aren’t optimized. Also, debugging and monitoring jobs can sometimes feel less intuitive compared to traditional tools. **What problems is Databricks solving and how is that benefiting you?** Databricks solves the challenge of processing and managing large-scale data efficiently by providing a unified platform for ETL, analytics, and machine learning. It benefits me by simplifying pipeline development, improving performance with Spark, and reducing the need to manage multiple tools. **Official Response from Jess Darnell:** > We're glad to hear that you find Databricks efficient and scalable for big data processing. Our seamless integration with Spark is designed to simplify data engineering and analytics. We understand your concerns about the cost and usability and we continuously work on optimizing clusters and improving the user experience to provide better value for our customers. ### 25. Databricks works with almost everything **Rating:** 5.0/5.0 stars **Reviewed by:** Jorge F. | Senior Agile Product Owner, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Integration with multiple sources in a seamless manner. **What do you dislike about Databricks?** I have no complaints yet about the product **What problems is Databricks solving and how is that benefiting you?** Reliable, democratized access to data, supported by the right level of security and the necessary guardrails. **Official Response from Jess Darnell:** > We're glad to hear that you appreciate Databricks' seamless integration with multiple sources. It's great to know that you haven't encountered any complaints with our product so far. ### 26. Databricks Apps Make It Easy to Build Customer-Facing UIs **Rating:** 5.0/5.0 stars **Reviewed by:** Suran B. | Data engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks app which is now something I can build UI on for my customers. **What do you dislike about Databricks?** Genie AI assistant for debugging code a. **What problems is Databricks solving and how is that benefiting you?** It solve traditional warehouse architecture and help build unifies lakehouse solution. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping you solve traditional warehouse architecture and build a unified Lakehouse solution. ### 27. Open Frameworks and Standards at the Center of Everything **Rating:** 5.0/5.0 stars **Reviewed by:** Robert T. | Member Of Technical Staff Solutions Architecture, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Open frameworks and open standards are at the center of everything. **What do you dislike about Databricks?** Documents can sometimes be hard to find, especially on Azure. **What problems is Databricks solving and how is that benefiting you?** Putting data at the forefront of decision-making is easy with Databricks. **Official Response from Jess Darnell:** > Thank you for highlighting the value of open frameworks and standards in Databricks. We apologize for any difficulties you've experienced in finding documents, and we're committed to enhancing the accessibility of resources, especially on Azure. Your input is valuable to us. ### 28. Excellent Open-Source Support and Flexible Data Formats **Rating:** 5.0/5.0 stars **Reviewed by:** Zengfei S. | Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Open source support, flexible of data format **What do you dislike about Databricks?** Performance tuning is a challenge, hard to tune to have good performance with lot of table joins **What problems is Databricks solving and how is that benefiting you?** Saving warehouse costing and gain the performance tuning **Official Response from Aunalisa Arellano:** > Thank you for sharing your feedback with us! We're thrilled to hear that you appreciate Databricks for its open source support and flexible data formats. We understand the challenges you've faced with performance tuning, especially with complex table joins. Our team is constantly working to enhance the platform's performance capabilities. We would love to connect with you to gather more insights on your specific use case and offer assistance in optimizing your performance tuning. Please feel free to reach out to our support team so we can work together to ensure you're getting the most out of Databricks. Thank you for choosing us to help you save on warehouse costs and improve performance! ### 29. Comprehensive Ecosystem with Configuration Challenges **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like that the Databricks ecosystem contains everything I need. I also appreciate the Unity Catalog and the SQL warehouse integration and performance. The initial setup of Databricks was easy. **What do you dislike about Databricks?** It's a lot of configurations are not possible. And it is sometimes too managed and not very expressive. **What problems is Databricks solving and how is that benefiting you?** I like that Databricks has an ecosystem that contains everything and appreciates the Unity Catalog and SQL warehouse integration and performance. **Official Response from Janelle Glover:** > Thank you for sharing your positive experience with the Databricks ecosystem and the ease of initial setup. We acknowledge the feedback regarding configuration challenges and the platform's manageability. We're committed to addressing these concerns to enhance user experience. ### 30. Unlocking Scalable Data Insights with Databricks **Rating:** 5.0/5.0 stars **Reviewed by:** Abhi J. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 24, 2025 **What do you like best about Databricks?** Databricks excels in unifying data engineering, analytics, and machine learning in a collaborative, cloud-based environment. Its support for multiple programming languages (Python, SQL, Scala, R) makes it incredibly flexible. The Lakehouse architecture simplifies data management by combining the best of data lakes and data warehouses. The auto-scaling compute clusters, tight integration with tools like MLflow, and powerful notebooks streamline experimentation and production deployment. I also appreciate the frequent product updates and commitment to open-source technologies like Apache Spark and Delta Lake. **What do you dislike about Databricks?** While powerful, Databricks has a learning curve—especially for non-technical users or those new to Spark-based architectures. Pricing can escalate quickly if not closely monitored, particularly with always-on clusters. The UI, although improving, still feels unintuitive in certain areas (like managing jobs or cluster permissions). Some integrations, especially with on-premise systems, require additional effort or custom workarounds. **What problems is Databricks solving and how is that benefiting you?** Databricks addresses the fragmentation between data engineering, data science, and analytics by offering a unified platform. Previously, we struggled with maintaining multiple disconnected tools for ETL, machine learning, and BI. Databricks' Lakehouse architecture allows us to manage structured and unstructured data in a single place, simplifying our data pipelines and reducing operational overhead. It also improves collaboration across teams—data engineers, analysts, and data scientists can work together in shared notebooks with version control and built-in visualizations. With Delta Lake, we now have ACID-compliant data reliability and time-travel capabilities, which help ensure data quality and reproducibility. As a result, project delivery times have decreased, and our ability to iterate quickly on models and reports has improved significantly—leading to faster business insights and better data-driven decision-making. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks! We're glad to hear that you find our platform flexible, collaborative, and powerful. We appreciate your feedback and are committed to continuously improving the user experience. ### 31. Speedy Development and Powerful Genie, but the UI Needs to Be More Intuitive **Rating:** 3.5/5.0 stars **Reviewed by:** eddie l. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Speedy and fast development and Genie capability **What do you dislike about Databricks?** UI is not friendly and need to be more intuitive **What problems is Databricks solving and how is that benefiting you?** The AI genie can provide a different way to expose data to biz user **Official Response from Jess Darnell:** > Thank you for your feedback! We're pleased that you are enjoying the speedy development and powerful Genie capability. We understand your concerns about the UI and will work on making it more intuitive for a better user experience. ### 32. Unity catalog Keeps Our Data Consistent—Amazing Experience **Rating:** 4.5/5.0 stars **Reviewed by:** Karan B. | Principal Operations Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Unity catalog is just amazing and keeps my data consistent. **What do you dislike about Databricks?** Honestly, I can’t think of anything I dislike about Databricks. **What problems is Databricks solving and how is that benefiting you?** Solving the data governance issue and data engineering and pipeline issues **Official Response from Janelle Glover:** > We're thrilled to hear that you're having an amazing experience with Unity catalog and that it's keeping your data consistent! ### 33. So Many Tools in Databricks—A Powerful All-in-One Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Matt M. | Technical Editor, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The amount of tools available inside of Databricks **What do you dislike about Databricks?** That it can't do everything for me! Yet! **What problems is Databricks solving and how is that benefiting you?** The Genie agent might be something I use to curate and write new DQX tests **Official Response from Janelle Glover:** > We're glad to hear that you find the variety of tools in Databricks valuable for your needs! ### 34. Easy Data Source Connections and Smooth ETL Processing in DBX **Rating:** 4.0/5.0 stars **Reviewed by:** Amod S. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like how easy it is to connect my data sources and manage ETL processing in DBX. **What do you dislike about Databricks?** Compute costs when needing power serverless computes **What problems is Databricks solving and how is that benefiting you?** Solving traditional ORACLE ETLs that’s run sequentially **Official Response from Janelle Glover:** > We're glad to hear that you find it easy to connect data sources and manage ETL processing in Databricks! ### 35. Easy to Use, Feature-Rich, and Boosts Efficiency **Rating:** 5.0/5.0 stars **Reviewed by:** Matt B. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Ease of use and abundance of new features that help us be more efficient **What do you dislike about Databricks?** At this time none. Perhaps additional native connections **What problems is Databricks solving and how is that benefiting you?** Unifying disparate systems into one unified system with controls **Official Response from Janelle Glover:** > Thank you for your positive feedback! We're glad to hear that Databricks is helping to unify disparate systems and boost efficiency for your team. We'll take note of your suggestion for additional connections. We appreciate your support! ### 36. A Unified Platform for Data **Rating:** 5.0/5.0 stars **Reviewed by:** Eric R. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks provide a single unified platform for data that is scalable. **What do you dislike about Databricks?** The cost of the platform is a concern for us. **What problems is Databricks solving and how is that benefiting you?** Solving enterprise wide data access issue with authentic, verified data. **Official Response from Janelle Glover:** > It's great to hear that Databricks is helping to solve your enterprise-wide data access issues with authentic and verified data. ### 37. Powerful Performance That Delivers **Rating:** 4.5/5.0 stars **Reviewed by:** Fernando M. | Senior Software Development Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** How powerful it is and how many resources are available in one place **What do you dislike about Databricks?** Compute resources take a long time to spin up and it is expensive. **What problems is Databricks solving and how is that benefiting you?** Making data available for analytics **Official Response from Janelle Glover:** > Thank you for your feedback! We're thrilled that you find Databricks powerful and resourceful. We understand the challenges with compute resource spin-up time and cost, and we're actively working to address these issues. We appreciate your support. ### 38. Powerful AI Data Lakehouse with Hundreds of Connectors **Rating:** 5.0/5.0 stars **Reviewed by:** Shekhar S. | Application Developer, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** About AI and data lakebase with 100s of connectors **What do you dislike about Databricks?** Many applications to use and easily get overwhelmed with it **What problems is Databricks solving and how is that benefiting you?** We are trying to migrate our sql server data to Postgres Lakebase **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks is helping you migrate your SQL Server data to Postgres Lakebase. We're committed to providing solutions that make data migration and management more efficient for our customers. ### 39. Databricks Makes EDW Management Easy with Powerful AI Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Databricks has allowed me to manage our EDW with ease. Automated data validation, AI analytics and our AI/BI dashboards are critical to running the Data Engineering team. **What do you dislike about Databricks?** Databricks can be very expensive. It's important to make sure your environment is right sized before deploying to production, or the cost can quickly escalate. **What problems is Databricks solving and how is that benefiting you?** We needed a modern scalable solution for our data platform, and we found that in Databricks. **Official Response from Jess Darnell:** > We're glad to hear that Databricks has made managing your EDW easier and that the automated data validation and AI analytics have been beneficial for your team. ### 40. Intuitive, Easy-to-Use Tool That Democratizes Data **Rating:** 5.0/5.0 stars **Reviewed by:** André M. | Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about Databricks?** It’s very intuitive and easy to use. Good way to democratize data **What do you dislike about Databricks?** Sometimes features take too long to be added to our account **What problems is Databricks solving and how is that benefiting you?** I apply ML algorithms to Machine data **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks intuitive and easy to use. We're constantly working to improve our features and minimize any delays in adding them to your account. Thank you for taking the time to leave a review! ### 41. Powerful Unified Platform for Data and AI, but Complex Setup and Costly for Continuous Use **Rating:** 5.0/5.0 stars **Reviewed by:** ILCHO I. | expert buyer, Airlines/Aviation, Enterprise (> 1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Databricks?** I like that Databricks provides a unified environment for data engineering, analytics, and machine learning. The platform makes it easy to collaborate across teams, manage large-scale data efficiently, and build advanced AI models using the same infrastructure. The integration with major cloud providers and the Lakehouse architecture make data management both flexible and scalable. **What do you dislike about Databricks?** While Databricks is a powerful and flexible platform, it can be complex to set up and manage, especially for teams without strong data engineering expertise. The cost structure can also become expensive for continuous workloads, and performance tuning sometimes requires deep knowledge of Spark and cluster optimization. Additionally, the user interface could be more intuitive for non-technical users. **What problems is Databricks solving and how is that benefiting you?** Databricks helps centralize and manage large volumes of data from different sources in a single, scalable platform. It simplifies data processing, analytics, and machine learning workflows, allowing teams to collaborate efficiently and deliver insights faster. By integrating data engineering, analytics, and AI capabilities, it reduces infrastructure complexity and accelerates the development of data-driven solutions. **Official Response from Aunalisa Arellano:** > We appreciate your positive feedback on Databricks' unified environment for data engineering, analytics, and machine learning. The integration with major cloud providers and the Lakehouse architecture are designed to provide flexibility and scalability in data management. ### 42. Great Value Stack with Full Control **Rating:** 4.0/5.0 stars **Reviewed by:** Zhivko K. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** A great stack at a good cost, with full control over everything. **What do you dislike about Databricks?** Some features are missing, and it’s also not great for low-latency workloads. **What problems is Databricks solving and how is that benefiting you?** Data ingestion, warehousing, governance, and BI. **Official Response from Jess Darnell:** > Thank you for sharing your feedback. We're pleased that Databricks is helping you with data ingestion, warehousing, governance, and BI. We take note of your concerns about missing features and low-latency workloads, and we are committed to enhancing our platform to address these issues. ### 43. Love Genie **Rating:** 5.0/5.0 stars **Reviewed by:** Brad S. | Business Intelligence Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Genie is awesome, and I use it every chance I get. **What do you dislike about Databricks?** There’s nothing I dislike about databricks I can think k kg **What problems is Databricks solving and how is that benefiting you?** Talk to my data, semantic layers data discovery **Official Response from Janelle Glover:** > We appreciate your kind words about Genie! It's fantastic to hear that it's been a helpful solution for your data needs. ### 44. Love the Open-Source Technology **Rating:** 4.5/5.0 stars **Reviewed by:** raviteja k. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** The open source nature of technologies and eliminates vendor lockin **What do you dislike about Databricks?** It looks like we have now everything in Databricks, moving out may be impossible **What problems is Databricks solving and how is that benefiting you?** Helped us move from legacy technology **Official Response from Janelle Glover:** > It's great to hear that Databricks has helped you move from legacy technology. We're committed to providing solutions that enable seamless modernization and improved efficiency. ### 45. More useful and powerful **Rating:** 4.5/5.0 stars **Reviewed by:** Kumaravelu R. | Senior Technical Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** It is a friendly and powerful tool. It is cost-effective and can be used in many places. **What do you dislike about Databricks?** It’s better to use, but it’s more suitable for big organizations. **What problems is Databricks solving and how is that benefiting you?** Decision making. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks a friendly and powerful tool and that it is cost-effective for your needs. Thank you so much for taking the time to leave a review! ### 46. Worth the effort **Rating:** 5.0/5.0 stars **Reviewed by:** Shaurya J. | Marketing Manager, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2025 **What do you like best about Databricks?** Databricks excels at unifying data engineering, analytics, and machine learning into one seamless platform. What I like best is how effortlessly it handles massive data volumes while enabling collaborative development through notebooks. The integration with Apache Spark and the ability to run scalable workloads with ML, SQL, and Python side-by-side makes it a powerhouse for data-driven teams. Its governance and Delta Lake architecture also ensure reliability and security across the data pipeline. **What do you dislike about Databricks?** While Databricks is incredibly powerful, the learning curve can be steep for non-technical users or teams new to distributed computing. The UI, though functional, can sometimes feel a bit clunky compared to more modern data platforms. Additionally, managing costs in a multi-user environment requires careful governance, especially for teams running large-scale compute-heavy jobs. **What problems is Databricks solving and how is that benefiting you?** Databricks is helping us break down data silos by centralizing data engineering, analytics, and machine learning into a unified environment. It simplifies handling large datasets, automates ETL processes, and enables real-time analytics and AI-driven insights. As a result, we’ve significantly improved our data pipeline efficiency, reduced time to insights, and empowered both data scientists and analysts to collaborate more effectively using a single platform. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks Data Intelligence Platform valuable for unifying data engineering, analytics, and machine learning. We appreciate your feedback on the learning curve and UI, and we're continuously working to improve the user experience. Thank you for sharing how Databricks is benefiting your team by centralizing data and improving efficiency. ### 47. Centralized Data Analysis with Powerful Forecasting **Rating:** 4.5/5.0 stars **Reviewed by:** Alexander G. | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** I like that I have everything in one place with Databricks. **What do you dislike about Databricks?** The Genie agent could be better. **What problems is Databricks solving and how is that benefiting you?** I use Databricks to analyze customer behavior, detect fraud, and forecast demand effectively. **Official Response from Jess Darnell:** > It's great to hear that Databricks is helping you effectively analyze customer behavior, detect fraud, and forecast demand. We appreciate your feedback about the Genie agent and will take it into consideration for future improvements. ### 48. Love the Genie and Dashboarding Features **Rating:** 5.0/5.0 stars **Reviewed by:** Saranga VijayaKumar K. | Director, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Genie and dashboarding features along with integrated toolset **What do you dislike about Databricks?** None I don’t have any disliking features or concerns **What problems is Databricks solving and how is that benefiting you?** Build enterprise DATALAKE for commercial data platform for global pharma and medtech organizations **Official Response from Janelle Glover:** > We're glad to hear that you love the Genie and our dashboarding features! They are designed to provide a seamless and efficient experience for our users. ### 49. Helpful Features for Training and Monitoring Data Models **Rating:** 4.0/5.0 stars **Reviewed by:** LendGrove M. | Managet, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Features are helpful in training and monitoring our data models **What do you dislike about Databricks?** I don’t have any feedback on this to share **What problems is Databricks solving and how is that benefiting you?** Pre training models to help our fraud and risk control teams **Official Response from Janelle Glover:** > It's great to hear that our platform is benefiting your fraud and risk control teams by pre-training models. ### 50. Great Partners, Great Products **Rating:** 5.0/5.0 stars **Reviewed by:** Yuval N. | Business Development Representative, Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about Databricks?** Great partners, great products. We’re partners of them and having really good time. **What do you dislike about Databricks?** Dashboard, aren’t good enough, it’s hard to navigate through different sections **What problems is Databricks solving and how is that benefiting you?** Everything is just smoother, straight forward **Official Response from Janelle Glover:** > We're glad to hear that you are enjoying our partnership and products. We appreciate your feedback about the dashboard and navigation, and we will take this into consideration for future improvements. ## 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=10&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-06+17%3A58%3A06+-0500&secure%5Bsession_id%5D=0b66f611-4e2e-44df-8f7d-52964529afb4&secure%5Btoken%5D=268ddbffb904173025273e2201c9364bf9712a5f23d55364e1fdb70fca80b92e&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 **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 **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 **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **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 **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 **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 **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 - Email Reports - Customizable Reports - Predictive Analytics - Data Management **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 - 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