# 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:** 801 ## About Databricks Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. ## Databricks Pros & Cons **What users like:** - Users praise the **ease of use and numerous features** of Databricks, enhancing their data processing and machine learning tasks. (192 reviews) - Users praise the **ease of use** of Databricks, enhancing their overall experience with its intuitive interface. (155 reviews) - Users appreciate the **seamless integrations** of Databricks, enhancing real-time processing and supporting various development languages. (141 reviews) - Users value the **seamless collaboration** Databricks offers, enhancing teamwork on data projects with real-time insights. (114 reviews) - Users value the **integrated analytical features** of Databricks, enhancing operations and providing comprehensive insights on technology. (113 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 love the **effective data management features** of Databricks, simplifying workflows and enhancing decision-making capabilities. (87 reviews) **What users dislike:** - Users note a significant **learning curve** with Databricks, particularly due to its complex permissions and compute modes. (78 reviews) - Users find Databricks to be **expensive** , especially when handling large data, limiting its accessibility for some customers. (71 reviews) - Users find the **steep learning curve** of Databricks challenging, particularly for those new to big data tools. (64 reviews) - Users find the **complexity** of Databricks challenging, especially with advanced features and initial setup requirements. (45 reviews) - Users experience a **complex setup** process initially, but support helps to 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 and causing operational challenges. (31 reviews) - Cost (29 reviews) ## Databricks Reviews ### 1. The best analytical and data governing platform **Rating:** 4.5/5.0 stars **Reviewed by:** yuvraj m. | Data engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 03, 2025 **What do you like best about Databricks?** The best I like about snaplogic is while doing data transformation of datasets in notebooks it has many languages to use like sql,pyspark and R. This enable me to use any language and effectively complete my requirements.data bricks has many features like Ai,unity catalog workflow managements which makes my ETL implementation ,and data integration easy and quick **What do you dislike about Databricks?** Under heavy usage the UI responsive for some implementations like job tracking ,Notebook versioning is a bit slugguish on web **What problems is Databricks solving and how is that benefiting you?** The problems databricks solving is effective datasets to data product creation satisfying business requirements **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks Data Intelligence Platform helpful for your data transformation needs with its support for multiple languages like SQL, PySpark, and R. ### 2. Unity Catalog streamlines efficiency, despite Compute mode limitations **Rating:** 4.0/5.0 stars **Reviewed by:** Kollen G. | Data Engineer/Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Databricks?** The Unity Catalog bundles useful data types together like Tables (delta), Models, Views, Functions and Volumes (for unstructured data). Additionally, the Workflows tab streamlines efficiency to run jobs and pipelines updating and engaging with big data. **What do you dislike about Databricks?** The worst functionality comes with the compute modes, and the restricted abilities. For example, Dedicated single-user access mode is essential to utilize ML runtimes and some Spark context access; however, Standard shared access mode is key for the latest UC functionality such as engaging with Shallow Clones properly. **What problems is Databricks solving and how is that benefiting you?** Problems with managing big data and streamlining execution time while also managing permissions and governance are all problems that are efficiently solved using Databricks Data Intelligence Platform and Unity Catalog. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find the Unity Catalog and Workflows tab helpful for bundling data types and streamlining efficiency. ### 3. Excellent Experience with Databricks: Enabling efficient data analytics and insights **Rating:** 5.0/5.0 stars **Reviewed by:** Elizabeth A. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 11, 2025 **What do you like best about Databricks?** Databricks’ platform is a powerful collaborative tool which allows teams to work together seamlessly on data projects. The integrated environment for data processing and analytics, along with its user-friendly interface, makes it easy to visualize insights and share findings in real time. **What do you dislike about Databricks?** The occasional complexity in managing multiple clusters and environments, which can lead to confusion regarding resource allocation. Additionally, the learning curve for new users can be steep, making it a challenge for organizational adoption. **What problems is Databricks solving and how is that benefiting you?** Databricks is solving the challenges of data integration and analysis by providing a unified platform that streamlines data processing and collaboration. This is enabling quicker access to insights from diverse data sources, improving productivity and decision making. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks is solving your data integration and analysis challenges, enabling quicker access to insights and improving productivity. We appreciate your input and will continue to focus on streamlining data processing and collaboration. ### 4. It was fantastic got to meet many peers **Rating:** 3.5/5.0 stars **Reviewed by:** Sai P. | Azure Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 12, 2025 **What do you like best about Databricks?** I attended to explore how Databricks unifies data engineering, analytics, and AI. The platform’s integration with BI tools and support for Delta Lake worked well. Performance and collaboration features stood out. However, the learning curve and some UI complexities could be improved for newer users transitioning from traditional platforms. **What do you dislike about Databricks?** I attended the Databricks Data Intelligence Platform session but found it rather unremarkable. The features and performance were neither outstanding nor disappointing. It felt generic, with vague improvements and minimal innovation. Overall, I am uncertain about its distinct advantages, rendering my review neither particularly informative nor actionable for prospective users. **What problems is Databricks solving and how is that benefiting you?** 1. Data Silos • Brings data from multiple sources (structured, unstructured, streaming) into a unified platform for centralized access. 2. Slow Time to Insights • Enables faster data processing with Spark, Delta Lake, and optimized workflows to accelerate decision-making. 3. Scalability Issues • Handles growing data volumes and user loads efficiently with cloud-native, distributed compute. **Official Response from Aunalisa Arellano:** > Thank you for taking the time to share your thoughts on the Data Intelligence Platform and your experience at the Data + AI Summit. We appreciate your feedback and will definitely share it it with the team and consider it when developing content for future events. ### 5. Powerful unified data platform that transformed our analytics workflow **Rating:** 5.0/5.0 stars **Reviewed by:** Abdullah A. | Technical Consultant, Chemicals, Mid-Market (51-1000 emp.) **Reviewed Date:** June 12, 2025 **What do you like best about Databricks?** What I appreciate most about Databricks is its unified approach to data engineering and data science. The platform eliminates the traditional silos between our data engineers and data scientists by providing a collaborative workspace where both teams can work on the same datasets using their preferred tools - whether that's Spark, Python, R, or SQL. The Delta Lake technology has been particularly valuable for ensuring data quality and reliability in our pipelines. The auto-scaling clusters mean we don't have to worry about infrastructure management, and the notebook interface makes it easy to document and share our work. MLflow integration for experiment tracking and model deployment has streamlined our machine learning lifecycle significantly **What do you dislike about Databricks?** The main challenges we've encountered are around the learning curve and cost management. For team members coming from traditional SQL backgrounds, the transition to Spark-based analytics requires significant upskilling. The pricing model can be complex to predict, especially with auto-scaling clusters, and costs can escalate quickly if not monitored carefully. The UI, while functional, can feel overwhelming for new users with so many features and options. We've also experienced occasional performance inconsistencies during peak usage times, and some of the more advanced features require deep technical knowledge to implement effectively. Documentation, while comprehensive, can be dense and assumes a high level of technical expertise. **What problems is Databricks solving and how is that benefiting you?** Slow Time-to-Insight: Our analytics queries that previously took hours now complete in minutes, enabling faster business decision-making. Data Infrastructure Complexity: We've eliminated the need to manage separate systems for data processing, storage, and ML, reducing operational overhead and technical debt. Cross-Team Collaboration Barriers: Data engineers and data scientists now work in the same environment, improving project velocity and reducing miscommunication. Scalability Bottlenecks: The platform automatically scales to handle peak workloads without manual intervention, supporting our growing business needs. ML Model Governance: MLflow provides proper versioning, tracking, and deployment capabilities for our machine learning initiatives, ensuring models can be reliably moved to production. These solutions have resulted in measurable business impact including reduced operational costs, faster product development cycles, and more data-driven decision making across the organisation. **Official Response from Aunalisa Arellano:** > We're pleased to hear that Databricks has helped to address your organization's challenges, resulting in faster time-to-insight, simplified data infrastructure, improved cross-team collaboration, seamless scalability, and enhanced ML model governance. We're committed to continuing to support your business needs and are glad to hear about the measurable impact on your organization. ### 6. Its a gery good and efficient product **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2025 **What do you like best about Databricks?** Databricks data intelligence platform is very unique and interesting product, it is very efficient and makes running programs so much faster and easier. Over the cost-efficient price and the uses of this platform bring so appealing is what made me choose this product. **What do you dislike about Databricks?** Someone I disliked about Databricks Data Intelligence Platform is it is a big slow at times when multiple users are using it which could be worked on. **What problems is Databricks solving and how is that benefiting you?** 1. Data Silos and Fragmentation • Problem: Data spread across multiple systems (e.g., data warehouses, data lakes, databases) creates silos and delays insights. • Databricks Solution: A unified data platform that supports both data lakes and data warehouses (aka Lakehouse Architecture), allowing for a single source of truth. 2. Slow and Complex Data Processing • Problem: Legacy tools struggle with big data, streaming, or real-time analytics. • Databricks Solution: Leverages Apache Spark for scalable and high-performance processing of batch and streaming data. **Official Response from Aunalisa Arellano:** > Thank you for sharing your experience with our platform. We're pleased to hear that our Lakehouse Architecture and Apache Spark processing have been beneficial for you. We appreciate your feedback on the performance issues and are committed to enhancing the platform's speed and efficiency. ### 7. All in one place for all data needs **Rating:** 4.5/5.0 stars **Reviewed by:** Viraj R. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Databricks?** Honestly, it’s how it turns the chaos of raw data into something beautifully orchestrated—like jazz, but with less saxophone and more Spark. I love that it’s not just a tool—it’s an entire ecosystem. It brings data engineering, analytics, and AI into one unified environment. That means I don’t have to duct tape a dozen tools together just to move a pipeline forward. Fewer silos, more flow. And the fact that it’s built on open standards like Delta Lake and Apache Spark? Chef’s kiss. The collaborative features are also huge. Being able to work seamlessly across teams in notebooks, share insights, and iterate in real time? It’s like Google Docs for data nerds, but smarter and with fewer formatting headaches. Oh, and Unity Catalog? Game-changer. It gives me visibility and governance without making me feel like I need a second job in security. So yeah—what I like most is that it makes doing complex things feel, well… less complex. It’s not just about managing data—it’s about getting real intelligence out of it, fast. And that’s exactly the kind of velocity I like. **What do you dislike about Databricks?** First off, pricing transparency can be… let’s call it “mysterious.” You think you’re just running a simple job, and then BAM—surprise costs like it’s your birthday, but the gifts are all invoices. I’d love a bit more clarity and control there, especially when you’re trying to scale responsibly. **What problems is Databricks solving and how is that benefiting you?** Certificate related parsing with great speed **Official Response from Aunalisa Arellano:** > Jazz with less sax and more Spark is what we are all about! ;) Thank you so much for taking the time to leave a thoughtful review on Databricks! We love to hear that Unity Catalog is a game-changer for your organization. Thank you for the feedback on pricing. This is something we will relay to the team. ### 8. Game changer **Rating:** 5.0/5.0 stars **Reviewed by:** Sachin V. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 25, 2025 **What do you like best about Databricks?** This lake house architecture brings the best of both data lakes and warehouses , so we don't have to deal with the unnecessary complexity. Delta lakes ensures reliability while the notebook based interface makes collaboration seamless. The platform ability to handle batch, streaming, and machine learning workloads in one place is a huge advantage. **What do you dislike about Databricks?** The pricing can get expensive, especially if workloads aren't optimized properly, also while the notebooks are great they could use better version control for collaborative work . the initial learning curve can be a bit steep for those new to spark but once you get the hang of it. It is powerful tool **What problems is Databricks solving and how is that benefiting you?** Databricks simplifies big data processing by providing a unified platform for batch and streaming workloads. It eliminates the complexity of managing infrastructure, ensuring scalability and performance without much manual effort . The collaborative notebooks make it easy to work with items and delta Lake improves data reliability. overall it saves a lot of time and effort in managing data workloads **Official Response from Aunalisa Arellano:** > We're glad to hear that you find our lakehouse architecture and Delta Lakes reliable and seamless for collaboration. Thank you for sharing your experience with us. ### 9. Effortless Data Management and Fast Analytics Set This Tool Apart **Rating:** 5.0/5.0 stars **Reviewed by:** Shyamal C. | Manager, Apparel & Fashion, Enterprise (> 1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Databricks?** Managing large amounts of data while working in coordination with other teams for systematic data uploads, updates, and troubleshooting is seamless, without concerns about limitations. Additionally, the speed at which analytics and geometric machine learning are processed truly sets it apart. **What do you dislike about Databricks?** beginners complexity in handling the tools in a test or trial phase **What problems is Databricks solving and how is that benefiting you?** It is so far has the capability of handling data in large quantity, being company's presence across several states it makes the data compilation easy for the department to systematically get the update **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks is helping your department systematically compile and update data across multiple states. Thanks for taking the time to leave a review! ### 10. Databricks is a great solution for data engineering and analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Dakota R. | Senior Technical Program Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** March 22, 2025 **What do you like best about Databricks?** I love Databricks because it consolidates data engineering, machine learning and analytics into one and the feat of using collaborative notebooks also enables real-time and seamless teamwork in working between a data engineer working on data pipelines and a data scientist running various experiments. And it handles large-scale data quite easily and running complex SQL queries within seconds with no infrastructure related issues. Also it has some built-in governance tools like unity catalog which help me in managing data lineage and controlling access. **What do you dislike about Databricks?** Databricks can be quite overwhelming for beginners especially if they do not have a good grasp of sql and spark to begin with. And the pace of their updates, although is quite good, it tends to introduce breaking changes which can be a pain to keep up with. Also the pricing can get expensive at scale especially for teams that work with really big sets of data. **What problems is Databricks solving and how is that benefiting you?** Before Databricks, we had disjointed processes, terribly slow data processing and no easy way to collaborate but now, we can integrate multiple data sources more easily and process big data in an efficient manner. Also this rapid development of machine learning models makes the infrastructure manageable for us and we save hundreds of hours with automation – not just in maintaining infrastructure but in thinking innovation first. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks has helped you integrate multiple data sources more easily, process big data efficiently, and develop machine learning models rapidly. We're committed to providing solutions that save time and enhance innovation for our users. ### 11. Databricks your swiss army knife for your Data **Rating:** 5.0/5.0 stars **Reviewed by:** Serena D. | Lead Data Architect & AI, Enterprise (> 1000 emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Databricks?** What I like best as a Data Architect is the possibility to manage your data starting from the ingestion to the serving endpoints everything is managed and monitored in the same platform creating reusable resources optimizing costs and efforts while conserving full flexibility. All of that seasoned with open source mindset. **What do you dislike about Databricks?** I think the lakeflow connector are still in embryonic stage, I think it will get better with time but at the moment is not the best on the market **What problems is Databricks solving and how is that benefiting you?** our Data Platform is Databricks centric so basically anything we solve we data is solved with the intelligence platform. Moreover, the Data Intelligence Platform allowed to perform a strong Data Democratization which wouldn't be possible with other tools **Official Response from Aunalisa Arellano:** > We're glad to hear that you appreciate the comprehensive data management and monitoring capabilities of Databricks, as well as the open source mindset. We're continuously working to improve our lakeflow connector and appreciate your feedback on this. Thank you for sharing the benefits you've experienced with our Data Intelligence Platform. ### 12. Databricks has opened a world of possibilities for me **Rating:** 5.0/5.0 stars **Reviewed by:** Isaias G. | CEO & Founder, Mid-Market (51-1000 emp.) **Reviewed Date:** March 20, 2025 **What do you like best about Databricks?** Databricks is a tool that is constantly evolving. I really appreciate the number of features they release, and the fact that they are up to date. It's an everyday platform that adapts to all use cases and is easy to integrate. It's an all-in-one solution with ETL with warehouses, Python, Spark, Scala, machine learning, and GenAI. **What do you dislike about Databricks?** Sometimes I wish they would update the documentation more, that there weren't so many changes in the API . The release notes of the changes were better explained to us and that we would have time to address the changes. Customer support is one thing that they have to improve too **What problems is Databricks solving and how is that benefiting you?** With Unity Catalog we have been able to address many issues we had with the previous integration with Glue and AWS, now everything is simpler and we can have more granularity in our security and ease in our processes. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks and the benefits it has brought to your processes. We understand your concerns about the documentation, API changes, and customer support, and we will work on addressing these areas for a better user experience. ### 13. Databricks simplify data work and scale effortlessly ! **Rating:** 4.5/5.0 stars **Reviewed by:** Miguel R. | Database operator, Mid-Market (51-1000 emp.) **Reviewed Date:** May 23, 2025 **What do you like best about Databricks?** What I really like about Databricks is how it brings every technical requirements under one space like kind one stop place for anything related to data. From cleaning and organizing to building machine learning models, it makes the whole process less messy. We could work as a team without constantly emailing or switching tools. Performance wise, it holds up even when we throw big workloads at it, and it connects well with other tools we use. Real-time data processing is smooth, and I’ve noticed we get insights much faster now. It’s also got solid controls around data access and tracking, which gives peace of mind on the security side. Overall, it's a smart, efficient platform that makes working with data feel way more natural. **What do you dislike about Databricks?** Databricks offers a good environment for data processing and analytics, but it does come with its set of challenges. One of the primary challenge is the learning curve, especially for those new to big data tools.But customer support really try their best. **What problems is Databricks solving and how is that benefiting you?** One thing I’ve noticed using Databricks is how much it cuts down on the usual complexity of big data work. Whether it's handling streaming feeds or batch jobs, it takes care of both in the same place, which saves time and confusion. We didn’t have to deal with a lot of setup or infrastructure headaches , things just scale up when needed, and performance stays solid even with heavier loads. It’s kind of like having a behind the scenes crew managing the technical weight so we can focus on the actual data insights. Makes life easier for the whole team. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks. We're glad to hear that the platform has helped streamline your data processes and provided solid performance, as well as improved real-time data processing and security controls. We're committed to continuously improving our platform to meet your needs. ### 14. Satisfying Platform For Data management & ML **Rating:** 5.0/5.0 stars **Reviewed by:** Karan V. | Data Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** June 02, 2025 **What do you like best about Databricks?** Quality of Databricks services are top notch and best also their support team always reply fast and with resolution for any techy questions. I like to use Databricks for my data analytical work. **What do you dislike about Databricks?** Easy to use infrastructure and number of integration make them very useful and reliable platform for us to manage or datasets and ML related works. **What problems is Databricks solving and how is that benefiting you?** We can perform big data analytics and ML task also on Databicks their platform have very user friendly interface that gives more reliable and healthy environment to perform our data related task. They have number of integration and pre define function that also help us to make effective insights. **Official Response from Aunalisa Arellano:** > It's great to hear that our platform is helping you perform big data analytics and ML tasks effectively. We're dedicated to providing a healthy and reliable environment for your data-related work. ### 15. Excellent integration with ML libraries and real time pipelines. **Rating:** 4.5/5.0 stars **Reviewed by:** Clarie D. | Data Science Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2025 **What do you like best about Databricks?** Predictive model for early hospital readmission risk detection was developed by our firm. We were processing sensitive health records using Databricks because security and compliance were our top priorities. Databricks support for HIPAA compliance and secure workspace management made it a trustworthy platform to host patient datasets. Using Delta Lake we handed the millions of records with the reliable performance. The integration with pandas and MLflow within notebook was also seamless. I especially appreciate the real time dashboard we build for a hospital admin staff to view live model prediction and alerts. **What do you dislike about Databricks?** During this project one of the biggest challenge we faced was setting up real time data streaming with HL7 format via Kafka into Databricks. While Databricks does support auto loaders but we had to write a fair amount of custom logic to parse and validate complex healthcare specific schemas **What problems is Databricks solving and how is that benefiting you?** We have seen improved collaboration across hospitals since each can now securely access insights and contribute feedback via shared notebooks and dashboards. Databricks has become the central nervous system for this project. **Official Response from Aunalisa Arellano:** > Thank you for sharing your experience with Databricks. We're glad to hear that our platform has helped improve collaboration across hospitals and become a central nervous system for your project. ### 16. Very reliable platform for modern data projects in company ! **Rating:** 4.5/5.0 stars **Reviewed by:** Arman C. | Senior consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Databricks?** One thing I genuinely appreciate about Databricks is its ability to understand and adapt to our organization's specific data terminology. The platform's natural language interface makes it feel like I'm conversing with a colleague rather than navigating complex queries. Additionally, the AI-driven insights have significantly accelerated our decision making processes, allowing us to act fast on data trends. Overall its a good tool with fine customer support **What do you dislike about Databricks?** While Databricks is powerful there is definitely a learning curve when you're just getting into it. Also interface can be improved for mobile. **What problems is Databricks solving and how is that benefiting you?** We used to struggle a lot with keeping our data pipelines reliable , things would break in silos, and teams had no clear visibility. Databricks really helped us unify our data processes across departments. Now our different experts from seperate departments could easily work together . It is also helped in speeding up our model training workflows for our clients. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks' ability to understand and adapt to your organization's specific data terminology valuable. Our natural language interface and AI-driven insights are designed to make data analysis more intuitive and efficient. ### 17. Centralised data management platform and excellent Ai features ! **Rating:** 4.5/5.0 stars **Reviewed by:** Anton V. | Database Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2025 **What do you like best about Databricks?** What i liked in Databricks is that it let us handle both raw and refined data in one go ,no need to bounce between tools. We are able to build pipelines, run analytics, and even go into ML models from the same environment. The collaborative environment was excellent for our data engineers and analysts can work in real time without being lost in getting on same page . Also, the way it connects with AWS and Azure made onboarding a lot smoother for our hybrid cloud setup. Honestly, the speed at which we can experiment and push insights to dashboards has helped us stay way more better than before. We are not just storing data anymore we’re using it intelligently without too much friction. **What do you dislike about Databricks?** While Databricks brings a lot to the table, a few things still feel clunky. The UI especially when dealing with larger clusters i do find some little lag sometimes other than that i find no major problem. **What problems is Databricks solving and how is that benefiting you?** Before Databricks we were switching between multiple tools to clean, store, and analyze data . Which slowed everything down and made collaboration tricky. Databricks pretty much merged all of that under one roof. One of the biggest wins has been the ability to process large datasets without worrying about performance bottlenecks. We’re now running real-time analytics that used to take hours, especially for sales and operations dashboards. Also, their unified platform means our data engineers, analysts, and ML folks can actually work together without throwing files back and forth. It’s helped us push insights to business teams faster, and decisions are now backed by fresher, cleaner data. **Official Response from Aunalisa Arellano:** > We're delighted to hear that Databricks has made such a positive impact on your data management and analytics processes. It's fantastic to know that the platform has improved your efficiency and collaboration. We appreciate your feedback about the UI and will strive to address any performance issues. ### 18. A blend of AI powered platform for data management **Rating:** 4.0/5.0 stars **Reviewed by:** Kanishq G. | Anaplan Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** September 05, 2025 **What do you like best about Databricks?** >Leverage AI features like LLM and Generative AI to manage data intelligently and generate actionable insights > Powerful data management capability like ETL , data processing to generate clean data > Easy to implement pipelines and a great customer network **What do you dislike about Databricks?** > Use can be limited to a specific use case > Limited number of connectors to integrate data to other BI tools for reporting purpose > Support network can be tedious **What problems is Databricks solving and how is that benefiting you?** > Security of data and systems using AI features > Scalable solutions for managing data as data lake and AI features can be leveraged **Official Response from Aunalisa Arellano:** > We're glad to hear that you appreciate the AI-powered features and powerful data management capabilities of Databricks Data Intelligence Platform. ### 19. Fantastic and Hassle Free Infrastructure **Rating:** 5.0/5.0 stars **Reviewed by:** Rajni S. | DBA Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 31, 2025 **What do you like best about Databricks?** I am love to working on the databricks environment because their reliable and scalable platform always provide best analysis dashboard and number of integration that help us on our big data analysis. **What do you dislike about Databricks?** Their easy to use system and hassle free implementation process make work more easy and frequent for us. They provide 24x7 customer support that manage our all requirement need. **What problems is Databricks solving and how is that benefiting you?** Working and analyzing the huge data sets and creating insights are very easy with databricks. also I appreciate their team that manage all dataset and provides number of integration that gives us a hassle free environment and value added results on our overall performance. **Official Response from Aunalisa Arellano:** > We are thrilled to hear that you are enjoying the reliable and scalable platform, as well as the ease of use and hassle-free implementation process. Our 24x7 customer support is dedicated to meeting your needs and we are glad to hear that it has been beneficial for you. ### 20. Databricks make enterprise scale ML project easier to manage. **Rating:** 4.0/5.0 stars **Reviewed by:** Olivia J. | Lead Machine Learning Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2025 **What do you like best about Databricks?** We have build a fraud detection system for a European finntech product using Databricks Data Intelligence Platform. The project required ingesting large volume of transaction data, cleaning it and training multiple machine, learning models using historical fraud patterns. Feature like tight integration with ML flow, alone helped us avoid the usual mess of managing models across Juypter notebooks and cloud storage. It’s collaborative environment allowed our ML engineers and data scientists to work together in Databricks notebooks in the same interface. Additionally, the ability to schedule retraining jobs made it easier to put a model into production with minimum effort. **What do you dislike about Databricks?** While MLflow is great, the UI for comparing runs can feel a bit outdated and lacks advanced filtering options. Managing features stores also felt slightly inefficient without more granular access control for different user roles. **What problems is Databricks solving and how is that benefiting you?** Our ML pipeline is far more stable and efficient after we implemented Databricks. We have a standardised our development workflows and now our engineers, analyst and business teams can access the same datasets and results in a single environment. This has dramatically improved our team collaboration. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks Data Intelligence Platform has helped standardize your development workflows and improve team collaboration. We aim to provide solutions that make ML pipelines more stable and efficient, and we're pleased to hear that it has benefited your team in this way. ### 21. Managing different data sources is very simple **Rating:** 5.0/5.0 stars **Reviewed by:** Din G. | Senior Analyst Finance Operations, Small-Business (50 or fewer emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Databricks?** In-memory processing offering a major advantage: it offers a wide range of layering capabilities in terms of blocks. It's excellent because of its distributed data structures. I like that ti can be configured to perform automatic backups. **What do you dislike about Databricks?** The search options for in-memory data structures are poor, and the documentation isn't as good as that of other platforms. Implementing the tool requires changes to the application. **What problems is Databricks solving and how is that benefiting you?** This will help us make financial data instantly available and help identify spatial relationships and structures. I had an excellent technical experience with the platform, it has been a valuable partner for our company over the past two years. **Official Response from Aunalisa Arellano:** > We appreciate your feedback on the advantages of Databricks Data Intelligence Platform, including its in-memory processing and distributed data structures. We understand your concerns about the search options and documentation, and we're committed to improving those aspects for a better user experience. It's great to hear that the platform has been a valuable partner for your company over the past two years, and we look forward to continuing to provide innovative solutions for your data management needs. ### 22. Highly scalable and developer friendly data solution. **Rating:** 5.0/5.0 stars **Reviewed by:** Liam F. | Cloud Solutions Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** May 09, 2025 **What do you like best about Databricks?** I used the Databricks Data Intelligence Platform to build a real-time vehicle processing pipeline for a client in the logistics sector. The project involved collecting sensor data from hundreds of delivery trucks and processing it to detect anomalies and trigger alerts in real time. What I like best was how easily Databricks integrated with Azure Event Hubs because it allows me to stream data in and start processing instantly. I also used Delta Lake for storing clean data, which became the foundation of our analytic dashboard. Additionally, the Databricks rest API allowed us to trigger jobs from our monitoring systems, which enhances the automation to a great extend. **What do you dislike about Databricks?** Although the product is powerful, the learning curve for structured streaming was quite steep for new team members. I also encountered some integration limitations while sending alerts directly to external APIa from within notebooks. But we found workaround which involves using Azure Functions outside Databricks, which added some extra complexity. **What problems is Databricks solving and how is that benefiting you?** It has a major impact on our team’s productivity. Previously, our data engineers, cloud, architecture and analytic team worked on different tools which leads to delay and communication gaps. Now, with Databricks as the central platform, we collaborate in real time and debug issues together in shared notebooks. **Official Response from Aunalisa Arellano:** > Thank you for your valuable feedback on your experience with Databricks Data Intelligence Platform. We're delighted to hear that it has facilitated the real-time processing of sensor data and streamlined integration with Azure Event Hubs. We acknowledge the learning curve for structured streaming and integration limitations, and we're dedicated to addressing these challenges to provide a smoother user experience. It's fantastic to hear that the platform has positively impacted your team's productivity by enabling real-time collaboration and issue debugging in shared notebooks. ### 23. DataBricks great tool for large-scale collaborative analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Albert A. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 27, 2025 **What do you like best about Databricks?** I really liked how easy it is to collaborate on shared notebooks, along with the native support for Spark and integration with MLflow. It allows you to work with large volumes of data without worrying about the underlying infrastructure. **What do you dislike about Databricks?** It could be said that the learning curve might be better for new users or those who have no previous experience with distributed environments. **What problems is Databricks solving and how is that benefiting you?** Its a good all-in-one solution for those working with big data and machine learning. Its collaborative environment and scalability make it and excellent tool for our daily workflow, making everything easier, especially when sharing models and pipelines across departments. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks. We're thrilled that it has been a beneficial all-in-one solution for your big data and machine learning needs. We appreciate your feedback on the learning curve, and we're committed to enhancing the user experience for all our customers. ### 24. Top-class Data Management Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Kiran M. | Data Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 21, 2025 **What do you like best about Databricks?** The single word I can say about Data bricks is they have really top class services in the field of data management. Their platform have power to handle huge data with very simple modules without any extra integrations. The services we are using from Data bricks gives freedom to handle data on every single steps. **What do you dislike about Databricks?** Whenever we need to store data and analyze the data we use Data bricks analytical views for that and their really gives best insights from the data. **What problems is Databricks solving and how is that benefiting you?** Mainly I used Data bricks only for warehousing and Data Analytics and really I have very satisfying experience with that. Their team reply quickly and solve the query om immediate basis if we have any. Overall, I recommend Data bricks with my social groups also for referring to use for data management. **Official Response from Aunalisa Arellano:** > We are thrilled to hear that you are enjoying our top-class data management services and finding our platform powerful and easy to use. Thank you for recommending Databricks to your colleagues! ### 25. Data intelligence in easy way **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel P. | CDO, Enterprise (> 1000 emp.) **Reviewed Date:** June 12, 2025 **What do you like best about Databricks?** Databricks is an excellent choice if you’re looking to unify data engineering, machine learning, and analytics on a single platform. It’s especially powerful for collaborative data science with built-in support for notebooks, scalable Spark processing, and seamless integration with tools like Delta Lake and MLflow. Highly recommended for teams working with big data or AI at scale. **What do you dislike about Databricks?** Nothing, it’s a great platform that delivers fast Solutions **What problems is Databricks solving and how is that benefiting you?** The Databricks Data Intelligence Platform solves key challenges around data silos, complex infrastructure, and slow AI development. By unifying data engineering, analytics, and machine learning on a single platform, it enables faster data access, streamlined collaboration, and scalable AI workflows. For us, this translates into quicker insights, reduced operational overhead, and the ability to move from raw data to production-ready AI much more efficiently. **Official Response from Aunalisa Arellano:** > Thank you for your positive feedback! We're glad to hear that you have not encountered any issues with the platform and that it delivers fast solutions for your needs. ### 26. System monitoring, plugin availability **Rating:** 5.0/5.0 stars **Reviewed by:** Aban S. | Senior Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** May 26, 2025 **What do you like best about Databricks?** Data access is high-speed, and it has highly qualified resources. I like the ability to manage large amounts of business data, its user interface is very useful, and data analysis is a faster process. I like the ability to host modules for so many different parts. **What do you dislike about Databricks?** They require extensive experience to configure, and the quality module could be improved with better features. They require specific administration skills, making it difficult to manage application users. **What problems is Databricks solving and how is that benefiting you?** It helps businesses run their daily operations, offering a wide range of features. It also helps our organization manage databases, providing a secure environment for data. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find our platform useful for managing large amounts of business data and that it provides high-speed data access. We appreciate your feedback about the need for extensive experience to configure and the quality of modules, and we will take that into consideration for future improvements. ### 27. Solution For Data Management **Rating:** 5.0/5.0 stars **Reviewed by:** Prachi M. | Data Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 30, 2025 **What do you like best about Databricks?** They have user friendly interface and ease to integrate option that gives very effective and user friendly experience to work on databricks to manage and analyze our company huge datasets. **What do you dislike about Databricks?** I love their customer support because whenever I need and help regarding integration their team help me to fix my issues. **What problems is Databricks solving and how is that benefiting you?** Performance and infrastructure of Databricks are top notch and hassle free, they have lots of integration that manage our work more effective and without any issues. they provides lots of predefine algo and templates that help us to create analyze the dataset to create a new insights. **Official Response from Aunalisa Arellano:** > We appreciate your kind words about our user-friendly interface and integration options. Our team is committed to providing effective customer support for any integration issues. We're thrilled that our platform's performance, infrastructure, and pre-defined algorithms have been instrumental in managing and analyzing your company's datasets. ### 28. Accelerate your development cycle with Databricks Data Intelligence Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Eimis P. | Senior Medical Analytics Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 24, 2025 **What do you like best about Databricks?** It accelerates development cycles, improves scalability, supports real-time insights, and empowers users to harness the full potential of big data and AI. It's a powerful tool for turning raw data into actionable insights quickly. **What do you dislike about Databricks?** It takes some time to learn all the available features. **What problems is Databricks solving and how is that benefiting you?** Databricks Data Intelligence Platform Addresses several challenges, such as managing large-scale data, integrating disparate data sources, enabling collaboration across teams, and speeding up analytics and AI workflows. By providing a unified environment for data engineering, machine learning, and business analytics, it simplifies complex tasks and reduces operational overhead **Official Response from Aunalisa Arellano:** > We're glad to hear that you find our platform accelerates development cycles and empowers users to harness the full potential of big data and AI. Thank you for sharing your positive experience! ### 29. Powerful business solution for Data Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Rey S. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 02, 2025 **What do you like best about Databricks?** Analyzing the huge datasets with Databricks was really very easy and simple to analyze where we can try number of templates and modules to create a perfect result from the raw data. **What do you dislike about Databricks?** Overall, all are good only their pricing is high as compared to other market product but in terms of quality and reliability, Databricks have their own marketplace. **What problems is Databricks solving and how is that benefiting you?** For Data Processing and analytics Databricks have very optimistic solution and user-friendly infrastructure. Their services always give top notch quality and reliable experience. I am satisfied with their customer support that gives quick resolution for our questions. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks Data Intelligence Platform helpful for your data transformation needs with its support for multiple languages like SQL, PySpark, and R. ### 30. Best Collaborative platform for data engineer, analyst and scientists **Rating:** 5.0/5.0 stars **Reviewed by:** prateek k. | data engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 05, 2025 **What do you like best about Databricks?** Easy to use, it provides one under umbrella platfrom where different teams collborate their work together, which is very helpful for development and data sharing. **What do you dislike about Databricks?** as of now i dont find any issues, but we can improve on unity catalog side. **What problems is Databricks solving and how is that benefiting you?** We have different pipelines in databricks, we are utlisinf it for getting spark benifts and colloborative developement and data sharing between teams. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks Data Intelligence Platform easy to use and helpful for collaborative work. We appreciate your feedback! ### 31. Databricks has improved data analytics,speeding up insights and enhancing collaboration across team. **Rating:** 5.0/5.0 stars **Reviewed by:** Brijesh G. | Data Engineer II, Enterprise (> 1000 emp.) **Reviewed Date:** March 24, 2025 **What do you like best about Databricks?** its seamless integration of data engineering, data science, and machine learning workflows in one unified platform. It enhances collaboration, accelerates data processing, and provides scalable solutions for complex analytics, all while maintaining a user-friendly interface. **What do you dislike about Databricks?** Another drawback is the limitation with RDDs and the lack of support for ML Runtime in the standard compute tier. The pricing model, which can become expensive as usage scales, especially for smaller teams or projects. **What problems is Databricks solving and how is that benefiting you?** Databricks Data Intelligence Platform is solving issues related to data silos, slow data processing, and complex workflows. By providing a unified environment for data engineering, data science, and machine learning, it accelerates data processing, enhances collaboration, and simplifies model deployment. This results in faster decision-making, improved operational efficiency, and more accurate insights at American Airlines. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks Data Intelligence Platform is helping to solve issues related to data silos and slow data processing, and that it is benefiting your team at American Airlines. We are committed to providing solutions that enhance operational efficiency and decision-making. ### 32. Amazing & Powerful Solution For DATA Analytics And Management **Rating:** 5.0/5.0 stars **Reviewed by:** Anuj D. | Data Analyst, Information Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 23, 2025 **What do you like best about Databricks?** The advanced features of Data bricks gives very effective solution for data analytics and data management. They have all features that we really need to manage the huge data. Quality of their services and easy integration make the my favorite platform for data management. **What do you dislike about Databricks?** I really apricate their support team that always be their and provide quick reply on any query regarding our tool and integration. I never felt any bad experience yet won their platform. **What problems is Databricks solving and how is that benefiting you?** The main important features that I am like in Data bricks is they are perfect for every niche and market and It can handle all types of data. They provide affordable and ease to implement on their services that manage all burden without getting delay on work. **Official Response from Aunalisa Arellano:** > We're thrilled to hear that you are enjoying the advanced features and effective solutions for data analytics and management that Databricks provides. Our goal is to make data management as seamless as possible. ### 33. Perfect Solution For Data Base Management **Rating:** 5.0/5.0 stars **Reviewed by:** Nora K. | DBA Administrative, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2025 **What do you like best about Databricks?** Managing the workflow and dataset is very easy to use and integration our office tool with databricks also solve our lots of problem that create hassle on data handling. **What do you dislike about Databricks?** Implementing databicks pre defied templates on analysing dataset is very easy job for me where I can use dozens of methods without any efforts. **What problems is Databricks solving and how is that benefiting you?** Processing the data sets and analysing on databricks is very ease job for us and also they have verities of integration that help us on data management and machine learning operations to solve any application code without getting any error. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with using Databricks for data management and analysis. We're pleased to hear that the pre-defined templates and integration options have been beneficial for you. ### 34. Future of Data Intelligence for Businesses **Rating:** 4.0/5.0 stars **Reviewed by:** Jeff R. | Data Engineer II, Small-Business (50 or fewer emp.) **Reviewed Date:** May 21, 2025 **What do you like best about Databricks?** The built in visual tools help us understand data more easily. Instead of just seeing a bunch of numbers, I can spot trends and patterns clearly, which makes it easier to make smart decisions. **What do you dislike about Databricks?** Because it’s a cloud based platform, everytime I need a stable internet connection to use it. Sometime I am working offline or in places with spotty internet. **What problems is Databricks solving and how is that benefiting you?** I am really happy with how Databricks has transformed our data processes. It’s made things faster, simpler and more efficient which allowing to focus on insights rather than struggling with infrastructure. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks has made your data processes faster, simpler, and more efficient, allowing you to focus on insights rather than struggling with infrastructure. We're committed to continuing to provide these benefits for our users. ### 35. It is the best data science tool for companies that need solid technical support **Rating:** 5.0/5.0 stars **Reviewed by:** Denise F. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 19, 2025 **What do you like best about Databricks?** I like its intuitive, flexible, and robust user interface, which allows for complex customization and can be used by users of variety experience levels. Furthermore, the platform can handle large and complex datasets. **What do you dislike about Databricks?** Databricks allows us to seamlessly integrate and adapt to our clients' needs. It saves us a lot of time and helps us control could costs and human resource investments. **What problems is Databricks solving and how is that benefiting you?** Databricks has significantly improved the quality of life for our staff. We use the workflows feature to automate recurring tasks and conduct in-depth analysis of our current performance metrics. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks Data Intelligence Platform has significantly improved the quality of life for your staff by automating recurring tasks and conducting in-depth analysis of performance metrics. We're committed to providing solutions that benefit our users in their day-to-day operations. ### 36. A effective data governing platform **Rating:** 4.5/5.0 stars **Reviewed by:** yuvaraj M. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 02, 2025 **What do you like best about Databricks?** The best about databricks is its delta warehousing which makes ETL process faster and effective.And also unity catalog feature which centralize data governance easy and also the data bricks ai assistant which makes data transformations easy and automated ,the customer support is helpful and quick. **What do you dislike about Databricks?** the only thing i dislike is it does not support RDD in pyspark codes. **What problems is Databricks solving and how is that benefiting you?** Data bricks is useful in solving workflows managing/constructing and data transformations serving business requirements. Benefiting me with daily transformations and workflows processing **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks' delta warehousing, unity catalog, and AI assistant helpful for your data governance and ETL processes. We appreciate your feedback on the customer support as well. ### 37. Data Awesomeness **Rating:** 5.0/5.0 stars **Reviewed by:** Arthur G. | Director, Data Architecture, Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Databricks?** This makes it simple and uniform to work with data. I love how it can just be the one stop shop for data warehousing, ad hoc reporting and is my gateway to AI **What do you dislike about Databricks?** Screen real estate on a web application can be limiting. There's so much content, but you can't just pull apart sections and put them in separate windows. **What problems is Databricks solving and how is that benefiting you?** Connecting the dots between various data sources to create a comprehensive view of all our data. **Official Response from Aunalisa Arellano:** > Thank you for sharing your feedback on Databricks Data Intelligence Platform! We're thrilled to hear that you find it simple and efficient for working with data, as well as a great tool for data warehousing and AI. We appreciate your input on the screen real estate limitation and will pass this along to our development team for consideration. It's great to hear that the platform is helping you connect data sources and gain a comprehensive view of your data. If you have any further suggestions or need assistance, please feel free to reach out. We're here to help! ### 38. Great advanced analytical tool that utilises Spark to fullest **Rating:** 4.5/5.0 stars **Reviewed by:** Shivakumar M. | Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** May 02, 2025 **What do you like best about Databricks?** Its ability to combine big data processing with machine learning makes it possible to do advanced analytics and data engineering efficiently in one space. Its scalable design and collaborative workspace also make it simple for teams to work together and process large datasets without slowing down the system **What do you dislike about Databricks?** One downside of the Databricks Data Intelligence Platform is the steep learning curve for new users, especially when navigating complex features like Delta Lake and managing large-scale workloads **What problems is Databricks solving and how is that benefiting you?** It provides a unified environment for analytics, machine learning, and data engineering, addressing issues like managing massive datasets, scaling machine learning models and enables team collaboration. While collaborative notebooks improve teamwork, increasing productivity and speeding the implementation of data-driven solutions, its interaction with Apache Spark and Delta Lake guarantees effective data processing, consistency, and version control. **Official Response from Aunalisa Arellano:** > Thank you for your thoughtful review highlighting how the Databricks Data Intelligence Platform enables efficient big data processing, machine learning, and team collaboration. We’re glad to hear that the platform’s scalability and unified workspace are helping you achieve advanced analytics and seamless teamwork. We understand that the learning curve, especially around features like Delta Lake and managing large-scale workloads, can be challenging for new users. We’re continuously working to improve onboarding resources and simplify the user experience to make the platform more accessible. Thank you again for your feedback. ### 39. Amazing Platform for Big Data Analysis and Data Management **Rating:** 5.0/5.0 stars **Reviewed by:** Brigitte W. | Project Manager, Mechanical or Industrial Engineering, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2025 **What do you like best about Databricks?** One of the best Data management platform, I really like their ease to use integration and predefine templates that help a lot on data analytics without and efforts. **What do you dislike about Databricks?** I really like their services and their affordability and customer support always provide hassle free services. **What problems is Databricks solving and how is that benefiting you?** Mainly we are using Databricks only for Data analytics and data warehousing and both our work completing on time without any hassle and their user friendly infrastructure gives hassle free services that make our work more ease to use and best for our data management. **Official Response from Aunalisa Arellano:** > We're thrilled to hear that you find our platform user-friendly and our pre-defined templates helpful for data analytics. We strive to provide hassle-free services and affordable solutions to our customers. ### 40. Fast & Responsive Platform For Data Warehousing and Management **Rating:** 5.0/5.0 stars **Reviewed by:** Yash P. | Data Scientist, Information Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 22, 2025 **What do you like best about Databricks?** The reliability of Data bricks always gives a value added services to store huge data with full security. Their integration and number of features provide easy implementation that manage our all data pipeline with best analytical dashboard. **What do you dislike about Databricks?** All the services we are getting from data bricks is top quality and we don't have any comment o their dislike yet. We are really appreciate their quality services in our organization. **What problems is Databricks solving and how is that benefiting you?** For managing huge data with very optimistic methods data bricks always support with very exclusive methods and predefined function that help us to manage all data management with very ease. they also give affordable pricing for our team that manage our all needs and requirement. **Official Response from Aunalisa Arellano:** > Thank you for your kind words! We are glad to hear that you have not encountered any issues with our services and appreciate the quality services provided by Databricks in your organization. ### 41. Transformation Journey with Databricks Data Intelligence Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Deepankar B. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 07, 2025 **What do you like best about Databricks?** As a data engineer who has been working with Databricks for the past two years, I can honestly say the platform has completely transformed the way we approach data engineering projects. Before Databricks, me and my team often faced challenges with managing large datasets and ensuring smooth collaboration between data engineers and data scientists. There were times when workflows felt disjointed, and troubleshooting issues across different tools consumed a lot of our time. Databricks has changed all of that. The collaborative notebooks feature, in particular, has been a game-changer. I can now work seamlessly with data scientists in real-time, troubleshooting issues and iterating on solutions much faster. For example, during a recent project, we were able to refine a machine learning model within days, thanks to the ability to easily share notebooks and quickly run experiments together. This level of collaboration used to take weeks with previous tools. The auto-scaling feature has been a lifesaver. I vividly remember struggling with performance issues when processing large datasets on our old infrastructure. Now, Databricks automatically adjusts resources based on workload, so we never have to worry about managing compute power. This has drastically cut down on processing times. For instance, a data transformation job that used to take hours now finishes in a fraction of the time, allowing us to deliver projects faster. Delta Lake has also been invaluable. Before we started using it, data consistency and quality were constant concerns, especially when dealing with large and varied data sources. Now, with Delta Lake, we can trust that our data is not only high quality but also easily accessible and queryable. One particular example was when we had to rebuild a complex dataset pipeline. Delta Lake allowed us to work with incremental data updates, making the process much more efficient and reliable. In short, Databricks has greatly reduced development time and improved the overall quality of our deliveries. It’s helped me streamline complex workflows, improve collaboration across teams, and most importantly, deliver data-driven solutions faster and with greater confidence. **What do you dislike about Databricks?** Cost Optimisation - While I appreciate the granular billing information provided, predicting costs for large projects or shared environments can still feel opaque. Many teams struggle to control runaway costs from idle clusters or suboptimal configurations. Introducing smarter autoscaling and recommendations tailored to our workloads would be invaluable. For instance, alerts for "idle clusters" or "cost hotspots" in our environment could proactively save budgets and improve efficiency. Simplified Governance and Security - Managing access at fine-grained levels can be cumbersome. For example, controlling who can view versus who can execute a notebook or job often requires workarounds. Audit logs are excellent, but making sense of them for actionable insights sometimes feels like solving a puzzle. Enhanced attribute-based access control (ABAC) and more intuitive UI-based controls for permission management would greatly streamline operations. User Experience - The collaborative notebook interface is one of Databricks' standout features, yet there are areas where it could be smoother. Collaboration is sometimes hindered when two users edit the same notebook. Version control feels basic compared to Git-based systems. Debugging within notebooks, especially for non-Python workloads, could use significant improvement. Adding inline commenting, conflict resolution tools, and robust debugging features would take the platform to the next level. A workspace-level activity feed to show what’s happening in shared projects would also be immensely helpful. Workflow Automation - Include AI-driven insights for optimizing workflows (e.g., spotting bottlenecks or inefficiencies). Enable easier integration with external workflow automation tools. **What problems is Databricks solving and how is that benefiting you?** The Databricks Data Intelligence Platform has revolutionized how I handle data challenges by providing a unified, scalable, and collaborative environment. It simplifies processing large datasets, unifies teams across workflows, and ensures robust security and governance, enabling seamless data integration and real-time insights. With tools like Delta Lake and MLflow, it has streamlined pipeline development and machine learning, significantly improving productivity and reducing time to value. By democratizing analytics for technical and non-technical users alike, Databricks fosters a truly data-driven culture. Its flexibility, performance, and end-to-end capabilities have been instrumental in driving impactful results for my organization. **Official Response from Aunalisa Arellano:** > We're delighted to hear that Databricks Data Intelligence Platform has transformed the way you approach data engineering projects. We greatly appreciate your positive feedback on the collaborative notebooks, auto-scaling, and Delta Lake features. We understand your concerns about cost optimization, governance and security, user experience, and workflow automation, and we will consider them as we work to improve our platform. Sincere thanks for taking the time to write thorough feedback about the platform—we love that you understand how Databricks fosters a data-driven culture! ### 42. Faster processing and scalability **Rating:** 5.0/5.0 stars **Reviewed by:** Yvon S. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 08, 2025 **What do you like best about Databricks?** It's a flexible solution that works well, it's designed to distribute data. It can easily scale to handle large amounts of data and offers numerous high-level features. I like the replication features. **What do you dislike about Databricks?** It could be better if there was a more optimized user interface, it can introduce relatively high latency for operations with small files. **What problems is Databricks solving and how is that benefiting you?** It helps process larger files in a shorter period of time and supports various resources manager and engines. This product is renowned for its reliability and meets the need to process large amounts of data. **Official Response from Aunalisa Arellano:** > We're happy to hear that Databricks Data Intelligence Platform helps you process larger files in a shorter period of time and supports various resource managers and engines. Your feedback about the user interface and latency is valuable, and we will use it to enhance the user experience. ### 43. Multiple features with best data management tools and Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Muskan M. | ML Engineer, Information Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 24, 2025 **What do you like best about Databricks?** The experience of data visualization with data bricks is very great and their top notch services make work more easier and smooth for machine learning. They have integration where we can easily deploy ML modules on them without any extra integration. **What do you dislike about Databricks?** All are good and very supportive, their team always be their whenever we need any help they replied very quick with resolution. i really enjoyed their multi features integration that make them our frequent tool for ML and Dep learning devloping. **What problems is Databricks solving and how is that benefiting you?** They have really broad infrastructure that supports all types of development works without any hassle. They have quick implementation and fast response that manage our all needs without any delay. **Official Response from Aunalisa Arellano:** > We're thrilled to hear that you're enjoying the data visualization experience and the seamless integration for deploying ML modules. Thank you for highlighting our top-notch services and quick support. ### 44. Extreme Services With Multiple Features and Accessbility **Rating:** 5.0/5.0 stars **Reviewed by:** Vibha T. | Data Analyst, Information Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 24, 2025 **What do you like best about Databricks?** The best part of Data bricks is they provide multiple features to us that manage all data management work at one place without any issues and also they have very effective data intelligence tools. **What do you dislike about Databricks?** Easy to use of their implementation gives best support in our work that gives next level of experience and best user experience to work on their platform. **What problems is Databricks solving and how is that benefiting you?** Analyzing the data set with Data bricks is really quick and ease and their analyzing techniques and modules provide best insights to work on the data. All experience are great and I refer them with my social and family groups to try once for any data management works. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks has been able to provide quick and insightful data analysis, benefiting your data management work. Thank you for recommending us to others! ### 45. Clear leader in the Data & AI space **Rating:** 4.5/5.0 stars **Reviewed by:** William W. | Lead Data Solution Architect, Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Databricks?** The platform is as close to a one-stop shop for Data and AI in the industry, with nothing but solid delivery and a commitment to innovation. **What do you dislike about Databricks?** Some new rollout might take time to adapt to. **What problems is Databricks solving and how is that benefiting you?** We needed a platform that provides governance, warehousing and ML for our organization. Users are able to find and leverage data easily, while we are easily able to maintain security of said data. **Official Response from Aunalisa Arellano:** > It's great to hear that our platform is helping to solve your organization's need for governance, warehousing, and ML. We're glad to provide a solution that enables easy data access for users while maintaining security. ### 46. Databricks makes Teamwork Data Super Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Ethan W. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 28, 2025 **What do you like best about Databricks?** I like Databricks because it helps everyone work together on big data projects in one place. It’s easy to share ideas, do smart computer stuff, and understand lots of information as a team. **What do you dislike about Databricks?** Sometimes, it’s hard to move our old data into Databricks. If you are not used to it, learning everything can feel tricky at first. **What problems is Databricks solving and how is that benefiting you?** Databricks brings all our data together, making teamwork easier and helping us make smart decisions faster. **Official Response from Aunalisa Arellano:** > We're glad to hear that Databricks is helping your team collaborate on big data projects and making it easier to share ideas and understand information together. ### 47. Perfect Solution For Managing Huge Data Sets **Rating:** 5.0/5.0 stars **Reviewed by:** Monika D. | Data Analyst, Graphic Design, Mid-Market (51-1000 emp.) **Reviewed Date:** March 21, 2025 **What do you like best about Databricks?** Generally I am using multiple platforms for Data management and visualization but Data bricks have really great user interface and number of integration option that optimize the usages very well and provide best implementation of data insights. **What do you dislike about Databricks?** I like the most their Analytical dashboard where I can analyze the data sets with different modules at once. They mention very optimistic templates for creating analyzing reports on quick responses. **What problems is Databricks solving and how is that benefiting you?** Their are verities of services that manage all our need of data management very well and also gives satisfactory experience to our team. They provide best support and integration for managing data with very ease and effective manners. **Official Response from Aunalisa Arellano:** > Thank you for sharing your positive experience with Databricks. We're glad to hear that you find the Analytical dashboard and templates helpful for analyzing data sets and creating reports. ### 48. A fantastic serverless data warehousing platform is Databrick data intelligence **Rating:** 4.5/5.0 stars **Reviewed by:** Piyusha V. | Us it Recruiter, Mid-Market (51-1000 emp.) **Reviewed Date:** January 09, 2025 **What do you like best about Databricks?** Databricks data intelligence is really fast and can handle large amounts of data easily, you can run complex Sql quries on huge datasets in seconds without needing to worry about managing serves or infrastructure, everthing is taken care of for you, like maintance and backups, so you don't have to think about that either. It also works smoothly with other parts of the databricks, making it easier to build software workflows and data piprlines for analyzing and managing your data. **What do you dislike about Databricks?** Databricks can be hard for beginners, if they don't know Sql. it can also get expensive and complicated for many users. **What problems is Databricks solving and how is that benefiting you?** Managing data from different places like on premises the cloud or third party services can be tricky, but with databricks, it makes combing and analyzzing all that data easy. This saves time amd reduce a lot of complexity. **Official Response from Aunalisa Arellano:** > We're glad to hear that you find Databricks Data Intelligence Platform fast and efficient for handling large datasets and running complex SQL queries. We strive to provide a seamless experience for our users, and we appreciate your feedback on the platform's performance and integration capabilities. ### 49. Powerful solution with user friendly Data analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Prashant D. | Data Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 20, 2025 **What do you like best about Databricks?** The most likelihood part about Data bricks is for me their user friendly data analytical user dashboards that gives really great user experience to visualize the data on multiple patterns without getting error. **What do you dislike about Databricks?** They have lots of integration option that implement very effective result on data governance and data analyzing. The customer support team also are very quick and responsive to revert back with resolution. **What problems is Databricks solving and how is that benefiting you?** Overall, They have Data warehouse, data analytical dashboard and data governance option at one platform. Data bricks make our work more smoother and easy to operate that gives more effective result to create insights from data. **Official Response from Aunalisa Arellano:** > It's great to hear that our platform is helping to streamline your work and create valuable insights from data. We're dedicated to providing a comprehensive solution for data warehouse, analytics, and governance. ### 50. Databricks Simplifies Data Processing and AI Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Caroline S. | Investment Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 16, 2025 **What do you like best about Databricks?** Lakehouse architecture combines the best of data lakes and warehouses, offering ease of use, seamless integration and eliminating the need for complex data pipelines. **What do you dislike about Databricks?** Databricks is powerful but can be difficult for beginners, especially those unfamiliar with big data tools or SQL. **What problems is Databricks solving and how is that benefiting you?** Big data processing has become much more efficient. We now handle large volumes of data in real time, which allows us to generate AI-driven insights faster and make smarter business decisions. **Official Response from Aunalisa Arellano:** > It's great to hear that Databricks Data Intelligence Platform has helped make big data processing more efficient for you, allowing for real-time data handling and faster generation of AI-driven insights. ## 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 - [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=5§ion=pricing&secure%5Bexpires_at%5D=2026-06-10+01%3A43%3A10+-0500&secure%5Bsession_id%5D=4a8743b5-7138-494f-85f3-592f1a4c2827&secure%5Btoken%5D=1976ddcdda780230193d26c3a126365e9ea29e0786b8fc57affcd9a1fbdc5625&format=llm_user) ## Databricks Integrations - 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[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) - [SplashBI](https://www.g2.com/products/splashbi/reviews) - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [Workday HCM](https://www.g2.com/products/workday-hcm/reviews) ## Databricks Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Management** - Reporting - Auditing **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Scalability and Performance - Generative AI Infrastructure** - AI High Availability - AI Model Training Scalability - AI Inference Speed **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Traffic Management & Performance - AI Gateways** - Token-Aware Rate Limiting - Semantic Caching - Multi-Model Routing & Fallbacks **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Security** - Access Control - Roles Management - Compliance Management **Operations** - Metrics - Infrastructure management - Collaboration **Analytics** - Analytics capabilities - Dasboard visualizations **Cost and Efficiency - Generative AI Infrastructure** - AI Cost per API Call - AI Resource Allocation Flexibility - AI Energy Efficiency **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation **Governance & Observability - AI Gateways** - Data Privacy - Cost Tracking - Centralized API Key Security **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - On-Premise - Cloud **Security** - Data Encryption - User Access Control **Maintainence** - Data Quality Management - Policy Management **Management** - Cataloging - Monitoring - Governing **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Integration and Extensibility - Generative AI Infrastructure** - AI Multi-cloud Support - AI Data Pipeline Integration - AI API Support and Flexibility **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Security and Compliance - Generative AI Infrastructure** - AI GDPR and Regulatory Compliance - AI Role-based Access Control - AI Data Encryption **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Generative AI** - AI Text Generation - AI Text Summarization **Usability and Support - Generative AI Infrastructure** - AI Documentation Quality - AI Community Activity **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Databricks Alternatives - [Cloudera Platform](https://www.g2.com/products/cloudera-platform/reviews) - 4.1/5.0 (131 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (707 reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - 4.3/5.0 (355 reviews)