--- title: Databricks Reviews meta\_title: 'Databricks Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 1365 reviews by the users' company size, role or industry to find out how Databricks works for a business like yours. aggregate\_rating: rating\_value: 4.6 review\_count: 1365 scale: '5' date\_modified: '2026-08-11' parent\_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Databricks Reviews & Product Details Visit Website 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. * * * Product Website Databricks Seller [Databricks Inc.](https://www.g2.com/sellers/databricks-inc) Discussions [Databricks Community](https://www.g2.com/products/databricks/discuss) Languages Supported German, English, French, Italian, Japanese, Korean, Portuguese Solution Type All-in-One Overview by Colette Chavalia Show More ## Value at a Glance Averages based on real user reviews. ### Time to Implement 4 months [ View More Pricing Information ](https://www.g2.com/products/databricks/pricing) ## Databricks Integrations (69) What do users say about integrations? 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Data Engineer II Mid-Market (51-1000 emp.) 8/3/2026 "Reliable Platform for Building Scalable Data Pipelines" 5/5 What do you like best about Databricks? What I like most about Databricks is how its user friendly UI brings the entire data engineering workflow into one platform. In my project, data lands in the Bronze layer through snaplogic, and we use databricks to transform it into Silver and Gold data products. The serverless compute option has significantly reduced the effort of managing infrastructure, while Unity Catalog makes governance and access control straightforward. I also find AI Genie and the built-in monitoring features useful for investigating pipeline failures, checking job runtimes, and debugging issues much faster.From a pricing perspective, the pay-for-what-you-use model works well for us, especially with serverless compute and auto-scaling, as we avoid paying for idle infrastructure. The documentation is comprehensive, onboarding new team members is relatively straightforward, and there is a strong knowledge base and community that helps resolve issues quickly. Overall, it has made our ETL development and day 2 day operations more efficient. Review collected by and hosted on G2.com. What do you dislike about Databricks? One downside is that troubleshooting can sometimes be difficult when a pipeline fails, as the error messages aren't always detailed enough and you may need to dig through multiple logs to find the root cause. The platform also has a lot of features, so it can take some time for new users to become comfortable with everything. While serverless is convenient, costs can increase if compute usage isn't monitored properly. I'd also like to see faster UI responsiveness in some areas, especially when navigating large job histories or catalogs. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks has helped me and my team simplify our data engineering workflow by providing a single platform for data ingestion, transformation, governance, and analytics. We use it to process data from Bronze to Silver and Gold layers, which has made our ETL pipelines more reliable and easier to manage. Features like serverless compute, Unity Catalog, and built-in monitoring have reduced operational effort, improved collaboration across teams, and helped us deliver data products faster. Review collected by and hosted on G2.com. Show More Response from Jess Darnell of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-13198355/official_response/edit) We're glad to hear that you find Databricks user-friendly and that it has streamlined your data engineering workflow. We appreciate your feedback on the serverless compute option, documentation, and community support. We understand your concerns about troubleshooting and UI responsiveness, and we are continuously working to improve these areas. Current UserValidated ReviewerSource: Organic Review from User Profile DC Diana C. Lead Business Efficiency Architect Information Technology and Services Mid-Market (51-1000 emp.) 7/29/2026 Business partner of the seller or seller's competitor, not included in G2 scores. "Databricks Streamlines ETL and Analytics with Scalable Notebooks" 5/5 What do you like best about Databricks? I've been using Databricks as part of our data engineering workflow to build and maintain ETL pipelines, analyze large datasets, and support reporting requirements. One of the things I like most is that it brings data engineering, analytics, and notebooks into a single workspace. Instead of switching between multiple tools, I can write PySpark code, validate transformations, collaborate with teammates, and schedule jobs from the same platform. This has made day-to-day development more organized, especially when working on multiple data pipelines. Another feature I rely on frequently is the notebook environment. It's convenient for developing and testing transformations before moving them into production. During development, I often use notebooks to inspect sample data, troubleshoot failed transformations, and validate business logic with SQL and PySpark. The ability to mix code, markdown documentation, and query results in one place also makes it easier for team members to understand the implementation during code reviews or knowledge transfer sessions. I also appreciate the platform's scalability. Some of our data processing jobs involve millions of records, and Databricks handles distributed processing efficiently without requiring us to manage the underlying infrastructure directly. Features like cluster management, job scheduling, and integration with cloud storage reduce operational overhead. That said, cluster startup times can occasionally delay quick debugging sessions, and managing compute resources carefully is important to avoid unnecessary costs. Overall, Databricks has helped simplify large scale data processing while giving enough flexibility for both development and production workloads. Review collected by and hosted on G2.com. What do you dislike about Databricks? While Databricks has been reliable for our data engineering workloads, there are a few areas where I think it could be improved. One challenge I've experienced is cluster startup time. When I only need to test a small code change or validate a transformation, waiting for a cluster to start can interrupt the development flow. It's not a major issue for scheduled production jobs, but during active development and debugging, those extra minutes add up. Another limitation is cost management. Since compute resources are tied to cluster usage, it's important to monitor cluster configurations and ensure they are shut down when not needed. We've had situations where development clusters remained active longer than expected, resulting in higher cloud costs. The platform provides tools to manage this, but it still requires teams to establish good governance and usage policies. I also found that some configuration settings for jobs, permissions, and clusters have a learning curve, especially for new team members who are unfamiliar with the Databricks environment. From a day to day perspective, debugging distributed Spark jobs can sometimes be challenging. While the logs provide useful information, identifying the exact cause of failures often requires navigating through multiple execution logs and Spark UI details. For straightforward issues this isn't a problem, but troubleshooting more complex pipeline failures can take time. Despite these limitations, none of them outweigh the benefits of the platform, and most challenges can be managed with proper cluster configuration, monitoring, and team practices. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks has helped address one of the biggest challenges in our data engineering workflow: processing and transforming large volumes of data efficiently. Before the data reaches reporting or downstream applications, we need to ingest data from multiple sources, apply business rules, clean inconsistent records, and create curated datasets. Databricks provides a single platform where we can develop, test, and run these data pipelines using PySpark and SQL instead of managing multiple disconnected tools. This has made our development process more consistent and easier to maintain. A practical example is one of our daily ETL pipelines that processes data from different source systems before loading it into curated tables for reporting. We use Databricks notebooks during development to validate transformations on sample data and then schedule the same logic as production jobs. If a pipeline fails, the job history and execution logs help us identify the stage where the failure occurred, making troubleshooting more efficient than manually tracing scripts across different servers. Having notebooks, job scheduling, and cluster management in one platform has reduced the effort required to manage these workflows. From a business perspective, the biggest benefit is faster availability of reliable data for reporting and analytics. Our team spends less time managing infrastructure and more time implementing business logic and improving data quality. While optimizing Spark jobs and monitoring cluster costs still require attention, Databricks has streamlined our daily workflow by providing a scalable environment for developing, testing, and running data pipelines. This has improved collaboration within the team and made it easier to deliver data that downstream users can trust. Review collected by and hosted on G2.com. Show More Response from Jess Darnell of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-13181721/official_response/edit) We're glad to hear that Databricks has streamlined your data engineering workflow and provided a single workspace for analytics and notebooks. We understand the importance of having a convenient environment for developing and testing transformations, and we appreciate your feedback on the cluster startup times and cost management. We're continuously working to improve the platform and provide better tools for managing compute resources and reducing operational overhead. Thank you for sharing your experience with Databricks! Current UserValidated ReviewerSource: Organic ![Vishaka C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vishaka C.") VC Vishaka C. Full Stack Developer Computer Software Small-Business (50 or fewer emp.) 7/10/2026 "Helpful for Managing and Analyzing Operational Data" 4.5/5 What do you like best about Databricks? We use Databricks to process booking and service data before creating operational dashboards for our team. I imported datasets into Delta tables, used SQL queries to prepare revenue and booking metrics, and built KPI dashboards to monitor provider performance and monthly trends. Catalog Explorer made it easier to inspect schemas and validate data before reporting. Keeping data preparation, querying, and visualization in one workspace reduced manual work and helped us generate reports faster. Review collected by and hosted on G2.com. What do you dislike about Databricks? The main challenge was the initial learning curve. Understanding the workspace layout, Catalog Explorer, SQL Warehouses, and dashboard configuration took some time when I first started using it. After a few days of working with the platform, navigation became much more intuitive, but better onboarding for new users would make the experience smoother. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks helps us centralize data preparation, SQL analysis, and reporting in one platform instead of switching between multiple tools. I used it to create managed Delta tables, analyze booking and revenue data with SQL, and build dashboards to track KPIs, provider performance, and monthly trends. This made reporting faster and helped us monitor operational performance more efficiently. Review collected by and hosted on G2.com. Show More Response from Jess Darnell of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-13090803/official_response/edit) We're glad to hear that Databricks has been helpful for managing and analyzing your operational data. It's great to know that the platform has streamlined your data preparation, querying, and visualization processes, ultimately helping you generate reports faster. 7/13/2026 Current UserValidated ReviewerIncentivizedSource: Seller invite ![Jayesh W.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jayesh W.") JW Jayesh W. Software Engineer II Computer Software Enterprise (\> 1000 emp.) 7/20/2026 "Helpful for Rider Service Operations Reporting" 4/5 What do you like best about Databricks? What I like most about Databricks is that it helps our team monitor rider service operations more efficiently. We use Databricks Dashboards and SQL Warehouses to track daily revenue, service requests, customer satisfaction scores, completed services, and failed transactions in one place. It has made operational reporting much faster and allows us to identify trends without manually preparing multiple reports. Review collected by and hosted on G2.com. What do you dislike about Databricks? One thing I found slightly challenging with Databricks was understanding how different components such as SQL Warehouses, dashboards, and permissions work together when building operational reports. Setting up dashboards for rider service metrics took some time initially. After getting familiar with the workflow, it became much easier to manage, but better onboarding guidance for first-time users would improve the overall experience. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks helps us centralize rider service operations analytics in a single workspace. We use it to track daily revenue, service requests, customer satisfaction scores, completed services, and failed transactions through operational dashboards. Before using Databricks, preparing reports across multiple datasets was more time-consuming. Having these business metrics available in one place has significantly improved reporting efficiency and helped our team identify operational trends much faster. Review collected by and hosted on G2.com. Show More Response from Jess Darnell of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-13130892/official_response/edit) We're glad to hear that Databricks has been helpful in monitoring rider service operations efficiently. Our dashboards and SQL Warehouses are designed to centralize and streamline operational reporting, making it easier to track key metrics in one place. We appreciate your feedback around onboarding and we are continuously working to improve our onboarding process to provide better guidance for new users. 7/23/2026 Current UserValidated ReviewerIncentivizedSource: Seller invite ![Pranjal S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pranjal S.") PS Pranjal S. Senior Associate, Legal and Research Mid-Market (51-1000 emp.) 7/10/2026 "Streamlined Legal Workflow with Databricks" 5/5 What do you like best about Databricks? I find Databricks really helpful for workflow automation and analysis in the legal industry. It helps manage documents related to legal compliance and contracts all in one place, which is a significant time saver. I like the ease of doing work with Databricks and its multiple tool integrations. I really like the PySpark feature, which makes Databricks stand out. The product's ease of use and simple user interface make it accessible even to non-tech individuals, helping everyone manage tasks easily. The initial setup of Databricks was really very easy and was completed in a week. Overall, it is a really great product. Review collected by and hosted on G2.com. What do you dislike about Databricks? There aren't many drawbacks for me except for occasional bugs and downtime. Sometimes I need to click a button twice to get the output. Also, the font size is a little small compared to websites or other tools. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? I use Databricks for workflow automation, managing legal documents in one place, saving time, simplifying analysis, and integrating multiple tools. Review collected by and hosted on G2.com. Show More Response from Jess Darnell of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-13090519/official_response/edit) Thank you for sharing your positive experience with Databricks! We're glad to hear that it has been instrumental in managing legal documents and simplifying analysis for you. We understand the importance of a seamless user interface and will take your feedback on font size into consideration for future improvements. We appreciate your support! 7/15/2026 Current UserValidated ReviewerIncentivizedSource: Seller invite ![Rachit S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rachit S.") RS Rachit S. Digital Marketing Mid-Market (51-1000 emp.) 7/9/2026 "Premium Notebook Experience That Unifies ML and Data Engineering" 5/5 What do you like best about Databricks? The notebook experience is one of the premium features I use very often. It saves me time, and I spend less time on operational tasks compared to actually working productively with data because the user flow is so simplified. The biggest advantage is having ML and data engineering under one roof, so I don’t have to switch between different tools. The support and onboarding are very smooth as well, and the product’s performance is better than its competitors. Review collected by and hosted on G2.com. What do you dislike about Databricks? Nothing as of yet, since it has been a very short time so far. That said, having more product videos would be helpful, especially for users who haven’t used multiple tools before. A bigger community around the product could also be useful in the long run. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? As mentioned, the biggest advantage of this product is having everything in one place, which makes work simpler and more productive. Also, the easy integrations with multiple platforms make it even more usable. Review collected by and hosted on G2.com. Show More Response from Jess Darnell of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-13086971/official_response/edit) We're thrilled to hear that you are enjoying the premium notebook experience and finding it to be a time-saving and productive tool for ML and data engineering. We appreciate your feedback and will consider creating more product videos and building a larger community around the product. Current UserValidated ReviewerIncentivizedSource: Seller invite ![Konjengbam M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Konjengbam M.") KM Konjengbam M. BDR Financial Services Mid-Market (51-1000 emp.) 6/10/2026 "Powerful Lakehouse for Big Data, Collaboration, and Efficient Pipelines" 4.5/5 What do you like best about Databricks? I love this platform for its capability to handle big pool of data efficiently. I love the idea of Data Lakehouse of this platform. The Collaborative work supported by this platform greatly enhances productivity and team work. In our context of using the Databricks SQL query we can easily identify the best match of entrepreneurs needed to avail a specific scheme. This saves both time and increases efficiency. The capacity of this platform to analyze the past performance and trends enable us to map out a highly targeted approach that is really efficient. I love the capability of this platform as it can identify probable stress asset which might be an issue for future investment. This makes us rethink our strategy and approach towards the best and efficient way forward. I feel that the platform have a user friendly interface. I love the integration ability of this platform as it integrates with most of the major platform. This makes this platform more robust and powerful. The onboarding of this platform is also easy as we could easily login with our Google ID. Other than this I love the ability of this platform to create pipeline. The capability of this platform to create agents also ease up tasks. It also enhances capability to handle work load more effectively and efficiently. Review collected by and hosted on G2.com. What do you dislike about Databricks? I love most part of this platform but I have to admit that user will need a some training for the user to be more efficient. I feel that having a more technical experience will adapt well with this platform. I also wish that the pricing of this platform was also more moderate. Frankly saying the accuracy of output of this platform depends on how clean the Data is . So there is always a chance of spilling in the unclean data. This will directly impact the result. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Frankly this platform translates into assistance in accurate decision making. The decision made by using this platform directly impacts productivity and averts risk. Review collected by and hosted on G2.com. Show More Response from Jess Darnell of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-12946286/official_response/edit) We're thrilled to hear that you find Databricks powerful and efficient for handling big data, collaboration, and creating pipelines. We appreciate your feedback on the user-friendly interface, integration capabilities, and easy onboarding process. Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: Seller invite ![taka b.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "taka b.") TB taka b. engineer Enterprise (\> 1000 emp.) 6/11/2025 "I love databricks" 5/5 What do you like best about Databricks? What I like best about Databricks is its seamless integration of big data processing and AI. The notebook-based interface makes collaboration easy, and the use of Spark ensures fast performance. Delta Lake also provides reliable data versioning and management, which is extremely helpful in enterprise environments. Review collected by and hosted on G2.com. What do you dislike about Databricks? One downside is that the initial setup and networking configuration can be complex and require technical expertise. Also, the cost can scale up quickly depending on usage, so cost monitoring is essential. Additionally, the lack of comprehensive documentation in some languages like Japanese can be a limitation. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? Databricks helps solve challenges related to managing and analyzing large volumes of data across multiple sources. It simplifies ETL pipelines, improves data reliability through Delta Lake, and enables scalable machine learning. This has significantly reduced the time our team spends on data preparation and model training, leading to faster business insights and better decision-making. Review collected by and hosted on G2.com. Show More Response from Aunalisa Arellano of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-11285903/official_response/edit) We're thrilled to hear that Databricks has helped solve challenges related to managing and analyzing large volumes of data for your team, leading to faster business insights and better decision-making. We appreciate your support and are committed to continuously improving our platform. 6/16/2026 Current UserValidated ReviewerSource: G2 invite on behalf of seller ![Kareena M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Kareena M.") KM Kareena M. Social Media Manager Small-Business (50 or fewer emp.) 6/4/2026 "Databricks Simplified Our Large-Scale Data Workflows and Team Collaboration" 5/5 What do you like best about Databricks? What I personally liked most was how easy it became to handle large-scale data workflows in one place. Earlier we were using separate tools for processing, notebooks, and collaboration which became messy very fast. With Databricks, the team could collaborate on notebooks, run pipelines, and experiment with ML models without constantly switching environments. Review collected by and hosted on G2.com. What do you dislike about Databricks? The pricing can become expensive if clusters are not managed properly, especially for smaller teams or startups. There’s definitely a learning curve as well if someone is coming from traditional SQL-only environments. Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? We mainly used Databricks for centralized data engineering and analytics workflows. It helped us reduce dependency on multiple tools and improved collaboration between analysts and engineering teams. One major improvement was faster ETL processing and better visibility into data pipelines. It also made it easier to experiment with AI/ML use cases because the infrastructure setup was already integrated into the platform. Review collected by and hosted on G2.com. Show More Response from Aunalisa Arellano of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-12922381/official_response/edit) It's fantastic to hear how Databricks has benefited your team by centralizing data engineering and analytics workflows, reducing dependency on multiple tools, and improving collaboration. We're pleased to hear about the improvements in ETL processing and AI/ML experimentation. 6/17/2026 Current UserValidated ReviewerIncentivizedSource: Seller invite YK Yelnur K. Schedule Manager Airlines/Aviation Mid-Market (51-1000 emp.) 5/19/2026 "Databricks in my case: Multiple Integrations, Intuitive UI, and Reliable Performance" 4/5 What do you like best about Databricks? What I like most about Databricks is its Integrations part. In workplace, we integrate Database within multiple data soucres. Also, I can't complete my review without mentioning UX and UI design, which makes the overall workflow feel intuitive and genuinely user-friendly. When it comes to speed of the processes, it never offended us. It works as expected. Comparitevly from the market pricing, the price of the service is quite reliable for us. There is a help center of the Databricks, if you can't find any answers to your questions, there are specialists that may assist you with your inqurires. As an instance, I can remember the case where we had an issue within exam process, they helped us to solve this problem. Review collected by and hosted on G2.com. What do you dislike about Databricks? From dislikes the ai quality of Genie. Guys it could be improved, especially the reasoning part. Also, I can say the case when we had an issue with exam process. Specialists helped us, but it took us little discomforties. Well, Review collected by and hosted on G2.com. What problems is Databricks solving and how is that benefiting you? In aviation, we utilize this software for data analysis. We automized a lot of processes, which simple workplace tools can not handle. We also, integrate with multiple tools (names which I can not mention for securirty purposes) Particularly, it helps us to analyze passenger demand by route and season. We combine and analyze big datasets using this software. Overall, a good tool. Out team is satisfied. Review collected by and hosted on G2.com. Show More Response from Sara Steffen of Databricks [Editedit](https://www.g2.com/survey_responses/databricks-review-12834055/official_response/edit) Thank you for your detailed feedback. We're pleased to hear that Databricks has been instrumental in automating processes and analyzing big datasets for your aviation needs. We take your feedback about Genie and support processes seriously and are dedicated to making improvements in these areas. Current UserValidated ReviewerIncentivizedSource: Seller invite ## Questions about Databricks? Ask real users or explore answers from the community Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights. [ Ask about Databricks ](https://www.g2.com/products/databricks/discussions/new) GU Guest User • Last activity almost 2 years ago What is Lakehouse in Databricks? 2 Upvotes 4 [ Join the conversation ](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) GU Guest User • Last activity 27 days ago What are the features of Databricks? 2 Upvotes 4 [ Join the conversation ](https://www.g2.com/discussions/what-are-the-features-of-databricks) [ View all Discussions ](https://www.g2.com/products/databricks/discuss) ## Pricing Insights Averages based on real user reviews. ### Time to Implement 4 months ### Return on Investment 12 months ### Average Discount 14% ### Perceived Cost $$$$$ [ View More Pricing Information ](https://www.g2.com/products/databricks/pricing) ## How much does Databricks cost? Data powered by [BetterCloud](https://www.bettercloud.com). Estimated Price ### $$k - $$k Per Year Based on data from 29 purchases. 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