--- title: Azure Databricks Reviews meta_title: 'Azure Databricks Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 238 reviews by the users' company size, role or industry to find out how Azure Databricks works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 238 scale: '5' date_modified: '2026-07-17' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Azure Databricks Reviews **Vendor:** Microsoft **Category:** [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics) **Average Rating:** 4.5/5.0 **Total Reviews:** 238 ## About Azure Databricks Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizations can efficiently process large-scale data, perform advanced analytics, and build AI solutions, all while benefiting from the scalability and security of Azure. Key Features and Functionality: - Lakehouse Architecture: Combines the best elements of data lakes and data warehouses, enabling unified data storage and analytics. - Collaborative Notebooks: Interactive workspaces that support multiple languages, facilitating teamwork among data engineers, data scientists, and analysts. - Optimized Apache Spark Engine: Enhances performance for big data processing tasks, ensuring faster and more reliable analytics. - Delta Lake Integration: Provides ACID transactions and scalable metadata handling, improving data reliability and consistency. - Seamless Azure Integration: Offers native connectivity to Azure services like Power BI, Azure Data Lake Storage, and Azure Synapse Analytics, streamlining data workflows. - Advanced Machine Learning Support: Includes pre-configured environments for machine learning and AI development, with support for popular frameworks and libraries. Primary Value and Solutions Provided: Azure Databricks addresses the challenges of managing and analyzing vast amounts of data by offering a scalable and collaborative platform that unifies data engineering, data science, and machine learning. It simplifies complex data workflows, accelerates time-to-insight, and enables the development of AI-driven solutions. By integrating seamlessly with Azure services, it ensures secure and efficient data processing, helping organizations make data-driven decisions and innovate rapidly. ## Azure Databricks Pros & Cons **What users like:** - Users find Azure Databricks to be **very easy to use and implement** , enhancing their development experience significantly. (9 reviews) - Users value the **rich feature set** of Azure Databricks, highlighting its excellent integration and support for multiple languages. (8 reviews) - Users value the **seamless integrations** of Azure Databricks with Azure services, enhancing efficiency and simplifying workflows. (6 reviews) - Users benefit from the **impressive speed** of Azure Databricks for large-scale data processing and implementation. (5 reviews) - Users value the **efficiency of analytics** in Azure Databricks, enabling streamlined data processing and insights generation. (4 reviews) - Scaling (4 reviews) - Users appreciate the **intuitive user interface** of Azure Databricks, which enhances collaboration for both technical and non-technical users. (3 reviews) - Powerful (3 reviews) - Productivity Improvement (3 reviews) - Serverless Architecture (3 reviews) **What users dislike:** - Users find Azure Databricks' **complexity** challenging, particularly during initial setup and cluster management. (3 reviews) - Users find the **difficult setup** of Azure Databricks challenging, making initial configuration a complex process. (3 reviews) - Users experience a **steep learning curve** with Azure Databricks, finding it challenging while adapting to its complexity. (3 reviews) - Users experience **slow performance** with Azure Databricks, particularly during cluster startup and parallel processing tasks. (3 reviews) - Users often find **unclear pricing** for Azure Databricks, as costs can escalate quickly without proper monitoring. (3 reviews) - Users face challenges with **workflow issues** , particularly in monitoring and managing multiple pipeline executions effectively. (3 reviews) - Users find the **complex usability** of Azure Databricks challenging, especially for beginners navigating its extensive features. (2 reviews) - Cost Management (2 reviews) - Users find Azure Databricks **very costly** , especially when clusters are poorly managed or left running unnecessarily. (2 reviews) - Poor Customer Support (2 reviews) ## Azure Databricks Reviews ### 1. Cloud based spark for big data analytics and AI **Rating:** 4.5/5.0 stars **Reviewed by:** Gaurang S. | Assistant Manager DevOps, Enterprise (> 1000 emp.) **Reviewed Date:** October 11, 2023 **What do you like best about Azure Databricks?** -Spinning up cloud based Spark environmet in minutes , autoscale capabilities in case of high performance required. -Multi language support like python, Scala , R , Java , SQL - Best tool for AI based systems and data science requirements. -large scale data processing for both batch & streaming workloads. **What do you dislike about Azure Databricks?** There are no downsides of Azure databricks as it's having many benefits like large scale data processing for both batch & streaming workloads. End to end data analytics. So featurewise there are no drawback at all **What problems is Azure Databricks solving and how is that benefiting you?** large scale data processing for both batch & streaming workloads. -Easy integration with Azure devops pipelines , GitHub - Collaboration using shared workspace - Improved Capex ### 2. Azure Databricks in Production **Rating:** 3.5/5.0 stars **Reviewed by:** Parag P. | Lead Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** October 21, 2023 **What do you like best about Azure Databricks?** Azure databricks is easy to use and support all the features like data engineering tools support like spark and mlops tools like mlflow. Easy to scale in production with minimal efforts **What do you dislike about Azure Databricks?** Few components are tightly coupled those are not flexible to change **What problems is Azure Databricks solving and how is that benefiting you?** We have huge amount of data which is difficult to manage in traditional machine learning framework. Azure databricks provides support of spark using that we can easily manage our data pipeline also it does support mlops with native support of mlflow using this we are able to manage entire machine learning cycle. ### 3. Ignite the spark in you **Rating:** 5.0/5.0 stars **Reviewed by:** Avinash K. | Resident Solutions Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2020 **What do you like best about Azure Databricks?** Readily available infrastructure with realtime help and ample examples to develop logic. Easy infrastructure creation and maintenance. Configurable to almost all data sources. **What do you dislike about Azure Databricks?** Less choice on configuration of clusters **Recommendations to others considering Azure Databricks:** If you want to leave behind the day to day pain of managing infrastructure and just focus on development and coding then databricks is the best option **What problems is Azure Databricks solving and how is that benefiting you?** I have used databricks to extract and transform social networking data in real time and process it. The notebooks simply the operation. Full support of python. Running parallel jobs and integration with webhooks. ### 4. Useful tool for your data analytics need **Rating:** 4.5/5.0 stars **Reviewed by:** Aditya M. | Associate Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 18, 2023 **What do you like best about Azure Databricks?** The entire data lifecycle can be managed within databricks. It supports the latest version of Apache spark and can integrate with open source libraries. **What do you dislike about Azure Databricks?** There isn't anything that I particularly dislike about azure databricks as of now. It meets my requirements. **What problems is Azure Databricks solving and how is that benefiting you?** Working and managing data. Creating an overall flow for ETL activities. ### 5. User-friendly platform for ML& data engineering **Rating:** 4.5/5.0 stars **Reviewed by:** Aditya V. | Data Scientist II, Enterprise (> 1000 emp.) **Reviewed Date:** June 15, 2023 **What do you like best about Azure Databricks?** One doesn't have to spend time setting up environments or writing DAGs or taking care of version control all the time. Just log-in to your system and get started. Interface is similar to Jupyter notebooks, and leverages pyspark to handle and train big data models. One can choose storage & memory nodes basis the requirements for resource efficient training. **What do you dislike about Azure Databricks?** Azure Databricks AutoML is still nascent and supports very few machine learning use-cases limited to regression and binary classification. One still has to take care of other ML pre-requirements like outlier detection, feature scaling etc. Thus, not making it ideal when running against time for building a POC. Cost is another factor as there is no flat charge, one has to select the compute and storage nodes accordingly to minimize charges **What problems is Azure Databricks solving and how is that benefiting you?** One-stop platform for data engineering, ML modeling, experiment tracking, and quickly pushing to production. One doesn't have to care about multiple platforms/requirements as it conveniently packs them all. ### 6. Easy Querying and repo management **Rating:** 5.0/5.0 stars **Reviewed by:** Drishti C. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** October 31, 2023 **What do you like best about Azure Databricks?** Easy sync with ADF. Flexiblity to use Spark, Sql **What do you dislike about Azure Databricks?** The side bar for repo workspace, takes the entire page and makes it difficult to get to the previous notebook **What problems is Azure Databricks solving and how is that benefiting you?** Easy quering and data modelling. Easy integration of clusters with git and hence devops ### 7. Center workspace for all **Rating:** 2.5/5.0 stars **Reviewed by:** karthik k. | Data analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** November 27, 2023 **What do you like best about Azure Databricks?** The learning process for Azure Databrick is straightforward and they offer a plethora of certifications. Their community is extensive. It does its job effectively. We heavily rely on it. **What do you dislike about Azure Databricks?** Despite having many features and guides, the Azure Databricks team does not offer any guidance for deploying new features or upgrading versions. **What problems is Azure Databricks solving and how is that benefiting you?** Google Cloud provides good services, however Azure Databricks integrates with other Microsoft products more easily. ### 8. A powerful platform with room for improvement **Rating:** 4.5/5.0 stars **Reviewed by:** Pranshu G. | Software Developer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** September 05, 2023 **What do you like best about Azure Databricks?** Azure Databricks is a powerful platform that can greatly enhance an organization’s data analytics and machine learning capabilities. Its seamless integration with Azure, scalability, and collaboration tools are notable strengths. **What do you dislike about Azure Databricks?** However, the complexity of its pricing, the learning curve, and areas for improvement in documentation and support are factors to consider.Also, Azure Databricks lacks robust native data visualization capabilities compared to dedicated BI tools **What problems is Azure Databricks solving and how is that benefiting you?** It helps in creating data analytics solution by making customised pyspark-sql ETL pipelines . Also, project being hosted on the Azure cloud platform, Azure Databricks seamlessly integrates with other Azure services, simplifying data movement and ensuring data security. ### 9. Great tool for analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Anchal A. | Senior Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** December 15, 2023 **What do you like best about Azure Databricks?** It is a great tool for analytics with great user interface and huge data capabilities **What do you dislike about Azure Databricks?** Nothing that I can think of as a disadvantage of the tool **What problems is Azure Databricks solving and how is that benefiting you?** It helps to enhance collaboration within the organisation and built robust solutions for data analytics. ### 10. Azure Databricks **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Civil Engineering | Enterprise (> 1000 emp.) **Reviewed Date:** December 12, 2023 **What do you like best about Azure Databricks?** It is the best tool to use for analysing data using SQL, python and has got a number of features. **What do you dislike about Azure Databricks?** No such shortcoming faced so far. Good cloud tool for data analytics. **What problems is Azure Databricks solving and how is that benefiting you?** It has been a great tool to work on for solving data analytics problems. You can work on SQL or Python at the same and thus as efficient the process can be. It has made the process of deriving insights more fast and optimized. ### 11. Best Service for Data engineers **Rating:** 4.5/5.0 stars **Reviewed by:** Swetha Y. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 14, 2023 **What do you like best about Azure Databricks?** Azure Databricks is having similar interface like Jupiter notebooks and we have a features to support all the languages , Pyspark which is used to handle and train big data models.It allows efficient and scalable data processing. **What do you dislike about Azure Databricks?** If we have large amount of data to be queried in database it has to improve its performance and cpu utilisation is also needs to be improved. we need to restart the cluster manually if we are processing the big data. **What problems is Azure Databricks solving and how is that benefiting you?** We mostly use databricks for data preparation and we minized using the Azure datafactory for scheduling the jobs.Apache spark is key feature in databricks which makes life easy to query with Pyspark. ### 12. Learning from the best. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Capital Markets | Small-Business (50 or fewer emp.) **Reviewed Date:** December 14, 2023 **What do you like best about Azure Databricks?** The platform is easy move around and relevant learning sessions are available at the top. **What do you dislike about Azure Databricks?** There is always a scope of improvement nothing to dislike. **What problems is Azure Databricks solving and how is that benefiting you?** Helping me analysing the data chunks and visualies it. ### 13. Good solution, simple to use **Rating:** 4.5/5.0 stars **Reviewed by:** Kevin C. | Financial analyst II , Mid-Market (51-1000 emp.) **Reviewed Date:** December 20, 2023 **What do you like best about Azure Databricks?** It's integration combining the best of both worlds. **What do you dislike about Azure Databricks?** The possibility of it not getting support for a long time due to the independent development of databricks. **What problems is Azure Databricks solving and how is that benefiting you?** Data structuring for proper analysis ### 14. Azure databricks review **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.) **Reviewed Date:** December 12, 2023 **What do you like best about Azure Databricks?** User friendly interface, portable for all languages. **What do you dislike about Azure Databricks?** Nothing as such. It has User friendly interface, portable for all languages **What problems is Azure Databricks solving and how is that benefiting you?** I am able to load data from containers and use the data in my code ### 15. Data Analyst **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammad Asim K. | Datascience Research Assistant, Mid-Market (51-1000 emp.) **Reviewed Date:** December 26, 2023 **What do you like best about Azure Databricks?** It is one of the most helpful tool while digging down and maintaining the database. **What do you dislike about Azure Databricks?** Just it's lackness in storage handling and it stuck. **What problems is Azure Databricks solving and how is that benefiting you?** Financial data modelling. ### 16. It's an amazing cloud-based platform for managing our ETL process. **Rating:** 4.5/5.0 stars **Reviewed by:** Sakharam R. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 25, 2023 **What do you like best about Azure Databricks?** It supports high volumes of data while writing queries on tables. Supports SQL, Python, Scala, and Machine Learning. **What do you dislike about Azure Databricks?** Sometimes, we encounter runtime exceptions that require manual configuration of a few things, such as the job stage. **What problems is Azure Databricks solving and how is that benefiting you?** Design an efficient, optimized, and compatible ETL process using SQL and Python to handle large datasets, including delta runs for historical data loading. ### 17. Worked on pyspark as Data Engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Prateek B. | Senior Business Intelligence Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 03, 2023 **What do you like best about Azure Databricks?** Best thing is we can trasform whatever yhe source data format is and volumes of big data. The processes of data in massive parallel processing with distribution with multi node cluster which makes it very fast and efficient. **What do you dislike about Azure Databricks?** It's storeage mounting of container when we need to add new column and all then its very tricky **What problems is Azure Databricks solving and how is that benefiting you?** Pay as you go model and data formation is very easy ### 18. Databricks has made data storing and data manipulation very easy **Rating:** 5.0/5.0 stars **Reviewed by:** Sumit P. | Enterprise (> 1000 emp.) **Reviewed Date:** December 21, 2023 **What do you like best about Azure Databricks?** It's very easy to use, we can use python, sql for data manipulation **What do you dislike about Azure Databricks?** Backend support/Community is weak, as per the requirements **What problems is Azure Databricks solving and how is that benefiting you?** Data warehousing and data manipulation ### 19. Azure Databrics Review **Rating:** 3.5/5.0 stars **Reviewed by:** Avinash K. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** November 09, 2023 **What do you like best about Azure Databricks?** Azure Data brics is very handy and flexible to most of the data types **What do you dislike about Azure Databricks?** As of now, I didnt face any kind of problem **What problems is Azure Databricks solving and how is that benefiting you?** I had used it for Data extraction and used it for analysis. It solves data problems in regard to data pipelines ### 20. Easy, Reliable & Trustworthy Data Transfer Companion **Rating:** 5.0/5.0 stars **Reviewed by:** Ayush S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 23, 2023 **What do you like best about Azure Databricks?** 1. Easy to implement complex transformation logic through drag-and-drop gems. 2. Great tool for people with little to no knowledge of SQL. 3. Easy to integrate with source and target data sources. **What do you dislike about Azure Databricks?** 1. Lots of learning is required to use Microsoft Azure ecosystem fully. 2. Really lengthy and complex transformations require data validation at each step of the transformation. **What problems is Azure Databricks solving and how is that benefiting you?** Azure Databricks is an online big data and analytics platform that primarily solves the problem of data processing and scalability of workloads using Azure's infrastructure. People with little to no experience (technical knowledge of the flow of data required) can easily use Azure Databricks and transform their big data as per needs ### 21. Superb Product **Rating:** 5.0/5.0 stars **Reviewed by:** Ishant T. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 30, 2023 **What do you like best about Azure Databricks?** Optimised Clusters Seamless connectivity with other Azure applications Easy-to-use Notebooks and SQL workspace Unity Catalogue to maintain the hierarchy Connectivity with GIT Overall my experience is very good with Azure Databricks. **What do you dislike about Azure Databricks?** Clusters are a bit costly when it comes to Real-Time Data Processing It isn't easy to maintain folder structure in our codebase, and because of this, we can't use the OOPS concept and design pattern in our code. So we need to use the GIT Repos instead. **What problems is Azure Databricks solving and how is that benefiting you?** We use Azure Databricks to create ETL/ELT pipelines and for Real-Time Data Processing using Kafka. And we use Azure Databricks to train ML models as per our business requirements. ### 22. Using it for last 2 years. It is a Powerful, scalable, and user-friendly platform for analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Udit G. | Enterprise (> 1000 emp.) **Reviewed Date:** April 01, 2023 **What do you like best about Azure Databricks?** Azure Databricks is designed to scale up or down quickly, enabling our system to handle large-scale data processing requirements It supports multiple languages, including Python, R, Scala, and SQL, making it easy for our data scientists and developers to collaborate on a project Since we use Azure very extensively, it can seamlessly integrate with other Azure services, such as Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics Also, the essential things which we liked about this tool is the OOB integration with Unravel Data which offers visibility, intelligence, and automation for big data workloads **What do you dislike about Azure Databricks?** I really love this tool considering it can integrate seamlessly with most our azure products ; the only con I can think of is that it is not well-suited for unstructured data processing and analytics **What problems is Azure Databricks solving and how is that benefiting you?** Azure Databricks is well-suited for data observability. Its comprehensive monitoring capabilities provide visibility into every aspect of a data workload, including job performance metrics, resource utilization, and data access patterns. This information can be used to identify bottlenecks and optimize performance, resulting in faster and more efficient processing of big data workloads. Another thing we liked about this tool's built-in machine-learning capabilities because it enables our data scientists to build and deploy machine-learning models quickly. This can help our business leverage its data to make better decisions and improve outcomes. It offers a range of cost optimization features, including auto-scaling and auto-termination, helping our businesses optimize their cloud spend and reduce costs ### 23. Easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** Shini S. | Junior IT Operations & QA Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 04, 2023 **What do you like best about Azure Databricks?** Azure Databricks is a fast, easy to use. **What do you dislike about Azure Databricks?** Product is very nice, but add a more features. **What problems is Azure Databricks solving and how is that benefiting you?** It is very easy to use and generate dashboards and visualization. ### 24. Azure Databricks is well integrated with most of the Microsoft products **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.) **Reviewed Date:** October 30, 2021 **What do you like best about Azure Databricks?** Azure Databricks Notepad support most of cloud development programming languages **What do you dislike about Azure Databricks?** Azure Databricks local desktop workspace is not available. This will be useful for developers to get trained up without incurring any cost from cloud services **Recommendations to others considering Azure Databricks:** Easy to use, online help and support documents are available and easy to explore. Quick information available in notebook cell **What problems is Azure Databricks solving and how is that benefiting you?** Coding SQL, Python Script, Spark and PySpark for Data Transformation, Data Engineering and Data Load ### 25. Azure Databricks **Rating:** 5.0/5.0 stars **Reviewed by:** Likitha B. | Senior Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 14, 2023 **What do you like best about Azure Databricks?** -Multiple services ranging from data cleansing to AI. -Ease of creating azure active directories for managing multiple workspaces. -Integrating Azure services with Databricks. **What do you dislike about Azure Databricks?** -The subscription pricing for some services like conversational chatbots need to be reduced. -Require a basic version of azure databricks option in community edition of databricks. **What problems is Azure Databricks solving and how is that benefiting you?** Data integration Multiple File formats Natural Language Processing Ease of model training to registering speed memory optimization ### 26. AZURE DATABRICKS GREAT TOOL **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 12, 2023 **What do you like best about Azure Databricks?** Azure Databricks brings latest version of Apache spark and allows seamless integration with source libraries and we can spin up the resource easily and azure manages this resource and it is easy to scale on demand and no need to worry about infra and load **What do you dislike about Azure Databricks?** There is nothing bad about the tool but while spinning up the azure Data bricks it consumes more time compared to other resources, may be this time should be reduced. **What problems is Azure Databricks solving and how is that benefiting you?** It incorporates ML, streaming analytics, structured and unstructured big data handling and speed,Parallel processing these makes them more reliable and good to use. ### 27. It was good, was taking time to learn things **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** November 08, 2023 **What do you like best about Azure Databricks?** Integration with the azure resources and SQL notebook support **What do you dislike about Azure Databricks?** Certain Integration is missing such as using ADF for triggering jobs **What problems is Azure Databricks solving and how is that benefiting you?** Keeping the data secured without duplications. And readily available ### 28. Best big data analytics service **Rating:** 4.5/5.0 stars **Reviewed by:** himanshu k. | Associate IT Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** October 03, 2023 **What do you like best about Azure Databricks?** Fast, easynto use for data science and data engineering work. Provides complete end to end data warehousing solution **What do you dislike about Azure Databricks?** Setup complexity Relatively small community **What problems is Azure Databricks solving and how is that benefiting you?** Worked on financial data every quarter to process, transform and create machine learning models. Provided inputs to business stakeholders based on processed data ### 29. Tech Lead **Rating:** 3.5/5.0 stars **Reviewed by:** Kaymen J. | Tech Lead, Enterprise (> 1000 emp.) **Reviewed Date:** January 05, 2023 **What do you like best about Azure Databricks?** It could compute concurrently. And it can process very big bulk file. And integrated nicely with Azure data storage **What do you dislike about Azure Databricks?** 1. No history view of memory/CPU usage running a batch job. If could provide the history view of memory/CPU easier for PET testing in data bricks 2. When SAS key to Azure data storage updated, has to unmount and remount the drive in data bricks. Otherwise data storage can't access the storage **What problems is Azure Databricks solving and how is that benefiting you?** I used to have a pure JAVA batch job processing big bulk file. I have to split big trunk file into multiple smaller files and upload to Azure storage. And process the smaller file one after another. After migrating the pure JAVA batch job to Azure data bricks, Azure data bricks can process big bulk file without splitting. This save effort and time for the development ### 30. Good service, but improvement of the portal's UI/UX necessary **Rating:** 4.0/5.0 stars **Reviewed by:** Sudipta M. | Senior System Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** February 24, 2023 **What do you like best about Azure Databricks?** The best thing for my use case is integration. My client has hired internal admins for a lot of policy settings and for security reasons my team cannot be given access to the more sensitive parts. So they have integrated it with tools like control-m and postman to run jobs and monitor pipelines. **What do you dislike about Azure Databricks?** The UX needs improvement. For example, sometimes a pipeline in progress already displayed in front is not present in search results. And while monitoring or error-checking a pipeline, the table for the pipeline details extends beyond the screen and we have to use sloppy horizontal scrolling to view items. For a running pipeline, it is near impossible to see both the running tasks and the ADF pipeline diagram at the same time when using a relatively smaller screen (15.6' and smaller) because of how they are placed overlappingly. **What problems is Azure Databricks solving and how is that benefiting you?** Details of the problem statement are confidential. Speaking of the technical aspect, it plays a role in ingesting data into ADLS gen2 and replicating some data into Azure Synapse. ### 31. Databricks influence on business **Rating:** 4.5/5.0 stars **Reviewed by:** Harshit D. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 25, 2023 **What do you like best about Azure Databricks?** Analytics Data validation Bigdata insights **What do you dislike about Azure Databricks?** I haven't disliked anything but seems like we can better UI performance. **What problems is Azure Databricks solving and how is that benefiting you?** Performance is what I have faced alot. ### 32. Powerful Data Analytics Made Simple , Unified Platform for Big Data Processing **Rating:** 5.0/5.0 stars **Reviewed by:** Akshay V. | Developer I - Software Engineering, Enterprise (> 1000 emp.) **Reviewed Date:** February 06, 2023 **What do you like best about Azure Databricks?** Scalable and efficient data processing: Azure Databricks allows for efficient and scalable data processing, making it ideal for organizations with large amounts of data. Support for multiple languages: The platform supports multiple programming languages, including Python, Scala, SQL, and R, making it a flexible solution for different types of data analytics.Advanced machine learning capabilities: Azure Databricks provides advanced machine learning capabilities, including built-in algorithms, libraries, and APIs, allowing organizations to easily build and deploy machine learning models. **What do you dislike about Azure Databricks?** Steep learning curve: While the platform offers an intuitive interface, some users have reported that the advanced features and functions of Azure Databricks can have a steep learning curve.Limited customization options: Some users have reported that there are limited customization options for the platform, which can make it difficult to fully integrate with existing systems and workflows.Limited support for legacy systems: Some users have reported that the platform may not support older or legacy systems, making it difficult to integrate with existing systems and workflows. **What problems is Azure Databricks solving and how is that benefiting you?** Data analytics, The platform offers advanced analytics capabilities, including built-in algorithms, libraries, and APIs, allowing organizations to easily process and analyze their data.Thes Api is being used by the development team for business requirements ### 33. Data bricks make life easy **Rating:** 3.5/5.0 stars **Reviewed by:** Navneet Kumar J. | Operations Executive - Trainee, Enterprise (> 1000 emp.) **Reviewed Date:** February 02, 2023 **What do you like best about Azure Databricks?** They are virtually identical. It’s the same product on different clouds. On Azure, Databricks is a first-party service that you engage with Microsoft to consume. On AWS you consume it from Databricks directly. **What do you dislike about Azure Databricks?** Two things that could be improved upon : 1. Database querying: The database querying can be faster. The load time for some operations even with smaller scale data can be more faster. This is despite us optimizing our queries. 2. Nascent platform : DataBricks Lakehouse as a platform is still nascent and there are lots of opportunities. For example - once the platform has all cloud platforms in one domain, it could be easier, if we could also query from all these databases with a single SQL language. There are also more growth opportunities like bringing in data visualization, business intelligence and this could help the platform grow and become even more useful. **What problems is Azure Databricks solving and how is that benefiting you?** By bringing all the cloud platforms under one databricks data lake, we have been able to have easier cross functional data access. All the data which had been siloed has been unlocked and this has helped drive some value projects. 2. Data Governance schema support : The simplified schema makes it very easier for data governance. This has eased the burden for administration related efforts. For example - by bringing all platforms under one , we only need to have data governance for one platform and not all. ### 34. Solves many coding problems **Rating:** 5.0/5.0 stars **Reviewed by:** Bharadwaj N. | Business Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** February 07, 2023 **What do you like best about Azure Databricks?** The interface is the best thing about it. Different cells can be run separately unlike any local ide. Very comfortable. **What do you dislike about Azure Databricks?** Not much. Every thing is designed properly. **What problems is Azure Databricks solving and how is that benefiting you?** Bringing everything to cloud. The data, code and libraries. Would be hectic to do it on local. ### 35. For connecting data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** December 12, 2023 **What do you like best about Azure Databricks?** To process data from different sources to single platform for making informative notes **What do you dislike about Azure Databricks?** Requires basic training of databricks for using it **What problems is Azure Databricks solving and how is that benefiting you?** Helpful for making data transformation to large scale by ETL Methods ### 36. Azure Databrick **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** October 05, 2023 **What do you like best about Azure Databricks?** Compatible for sql and its robust speed. **What do you dislike about Azure Databricks?** Nothing to dislike the product is extremely good. **What problems is Azure Databricks solving and how is that benefiting you?** Big data analysis and etl transformation. ### 37. Azure Dataricks **Rating:** 4.0/5.0 stars **Reviewed by:** Majoju R. | Lead Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** July 15, 2022 **What do you like best about Azure Databricks?** Cloud-based integration tool having AI capabilities **What do you dislike about Azure Databricks?** I don't see any major issues or concerns with the Azure Databricks **What problems is Azure Databricks solving and how is that benefiting you?** Large scale of the data can be processed easly ### 38. One of the best cloud platforms to work on **Rating:** 5.0/5.0 stars **Reviewed by:** Aman R. | Decision Analytics Associate, Enterprise (> 1000 emp.) **Reviewed Date:** February 09, 2023 **What do you like best about Azure Databricks?** It is user friendly and the UI is so simple. Also the flexibility to move from one language to another in consecutive cells comes very handy. Notebooks to SQL Warehouse, all is good. **What do you dislike about Azure Databricks?** One major issue which I feel while using Databricks is the cluster restart while dealing with Big Data. The driver stops unexpectedly and this can be an area of improvement. **What problems is Azure Databricks solving and how is that benefiting you?** My day to day work revolves around SQL and PySpark where I use Databricks for Data wrangling, data visualisation and finally to draw insights for business intelligence. ### 39. Next level Integrated Jupyter Notebook **Rating:** 5.0/5.0 stars **Reviewed by:** Bharath S. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 02, 2023 **What do you like best about Azure Databricks?** Jupyter Notebook with multiple language support within the same notebook An integrated environment with DBFS and tables and clusters. External integrations/connections are smooth enough, like connecting to AWS bucket or Azure Lake. Markdown within the notebooks. **What do you dislike about Azure Databricks?** It can allow customizable color themes. Copy-pasting cells/outputs from one notebook to another. Hints for best practices can be provided. Error reporting can be much better. **What problems is Azure Databricks solving and how is that benefiting you?** Competitor Analysis using Real World Data. Building a Data Pipeline, Data Warehouse, standardizing across data sources. Working with multiple languages to achieve results quickly. ### 40. One of the best **Rating:** 4.0/5.0 stars **Reviewed by:** Nidhi M. | Senior Solutions Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 02, 2023 **What do you like best about Azure Databricks?** Azure Databricks is easily the best platform available today in the market for building and sharing big data solutions. Interactive notebooks with numerous features, including N number of data connectors, are the best features. **What do you dislike about Azure Databricks?** I have used Azure data bricks for cleaning, sharing, and ETL data and never faced any issues. Sometimes, the error in the code could be a little ambiguous. That can be improved! **What problems is Azure Databricks solving and how is that benefiting you?** We use Azure Databricks to perform ETL tasks on data that is being stored in ADLS and use the refined data to build Power BI reports. The reports are then used by the end customer to make business decisions. Very happy with the Azure Data bricks. ### 41. Best analytics Tool **Rating:** 4.5/5.0 stars **Reviewed by:** SK ASIF A. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 02, 2023 **What do you like best about Azure Databricks?** - It's working well with programming Languages like python,R,SQL - Databricks clusters are easy to setup and configuration. - It can handles large amount of Data since it is Microsoft Azure cloud native. - It has an active directory support **What do you dislike about Azure Databricks?** - All good but it is not supporting the version management tools like Git and other. - If we could add this it will be better for Deva. - The price is little high **What problems is Azure Databricks solving and how is that benefiting you?** In terms to handle the massive amount of data for Analysis. It solve the ETL operations and Apache pyspark models that can be implemented all in one .It helped me lot to solve various problems with HDinsighta Kafka. ### 42. Azure Databircks is a one-stop shop for everything related to data **Rating:** 5.0/5.0 stars **Reviewed by:** Punit S. | Cloud Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 04, 2023 **What do you like best about Azure Databricks?** Azure Databircks exceeds every other tool in the market in terms of user-friendliness. It has amazing data processing capabilities and the ease of integration is awesome! **What do you dislike about Azure Databricks?** The UI/UX can be improved further. It is very easy to use. However, at times, there are issues with the UI. Scrolling is difficult for users having a small display. **What problems is Azure Databricks solving and how is that benefiting you?** Data ingestion has become way faster for my clients. New users are able to benefit from the intuitive UI. All clients have experience with different technology stacks. However, the support available for most languages is very helpful. ### 43. Azure Databricks **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 11, 2023 **What do you like best about Azure Databricks?** Azure just seems to work well, for me its not as pretty as GCP or have as many features as AWS, but its just in the middle of both and seems to just work well enough. **What do you dislike about Azure Databricks?** Not a lot, I think the pricing can get very interesting fairly quickly. We previously used Databricks on AWS and I can say for sure the cost handles are not as good as the ones on AWS. **What problems is Azure Databricks solving and how is that benefiting you?** We needed a data warehouse to take in data from our systems which we used Fivetran as a connector, but we needed a destination and we used Azure Databricks to do so. ### 44. Excellent value excellent **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Mid-Market (51-1000 emp.) **Reviewed Date:** October 02, 2023 **What do you like best about Azure Databricks?** Excellent ROI, with qualitatively defined metrics **What do you dislike about Azure Databricks?** Lengthy implementation with some risks on the customer **What problems is Azure Databricks solving and how is that benefiting you?** Data mining to extract value ### 45. Best tool for data analytics and breakthrough insights **Rating:** 3.5/5.0 stars **Reviewed by:** Mukul V. | Senior Technical Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** February 07, 2023 **What do you like best about Azure Databricks?** The best analytics platform helps integrate and develop the different application processes. This tool helps/supports multiple data sources, which gives a strong connection for breakthrough insights. This solution is excellent for the Bigdata pipeline. **What do you dislike about Azure Databricks?** Some points under this tag observe the performance and data flow slowness. The user interface is not friendly and gives more information that is not required, like suggestions and all. **What problems is Azure Databricks solving and how is that benefiting you?** Innovation was the primary reason. Managed Apache spark was the key attraction. The UX and ability to customize was bonus. The business has accepted this tool to organize reporting and analyze on-going organizations decisions. ### 46. Awesome Data On Cloud **Rating:** 5.0/5.0 stars **Reviewed by:** Bhushan S. | Cloud Data Engineering Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** June 01, 2023 **What do you like best about Azure Databricks?** storage and compute decouple, running on spark architecture this is making data bricks **What do you dislike about Azure Databricks?** cost is one factor, I think proper cost guide should be mentioned **What problems is Azure Databricks solving and how is that benefiting you?** computation fast so we are getting metrics reports in a quick time ### 47. Azure Databricks for Medallion Architecture **Rating:** 4.5/5.0 stars **Reviewed by:** Harsha M. | Senior Data Architect - BI, Enterprise (> 1000 emp.) **Reviewed Date:** June 05, 2023 **What do you like best about Azure Databricks?** Compatible with Sql, pypspark and scala and has the architecture for processing big data with scalability and performance **What do you dislike about Azure Databricks?** High availability of cluster spiking the cost **What problems is Azure Databricks solving and how is that benefiting you?** Retail Ops ### 48. Easiest & efficient way for big data analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Martand S. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** February 07, 2023 **What do you like best about Azure Databricks?** The smooth & secure integration with Azure services like data lake, IAM, streams makes it one of the most useful services provided by azure. Not to mention, delta lake is amazing. **What do you dislike about Azure Databricks?** Everything is almost good with this service except there can be more things to do visualization part. But it provides a smooth integration with power bi & tableau. **What problems is Azure Databricks solving and how is that benefiting you?** I am using azure databricks primarily for data transformation & maintaining data warehousing. Our use case includes data source like delta lake & kafka streaming. ### 49. Azure Databricks review **Rating:** 4.0/5.0 stars **Reviewed by:** Maheshkumar S T. | Azure Technical Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** February 06, 2023 **What do you like best about Azure Databricks?** Integrates easily with the whole Microsoft stack. Suitable for small jobs too. Documentation and support are available. An extensive list of data sources. Higher productivity and collaboration. **What do you dislike about Azure Databricks?** It does not integrate with Git or any other versioning tool. It currently only supports HDInsight and not Azure Batch or AZTK. Hard to manage notebook workspace **What problems is Azure Databricks solving and how is that benefiting you?** The main problem which Azure Databricks is solving is in cleaning and enrichment of data coming from various sources, which becomes a source for the reports and dashboard. ### 50. My experience with Azure Databricks has been exciting for self-learning. **Rating:** 4.5/5.0 stars **Reviewed by:** Rakesh S. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 15, 2023 **What do you like best about Azure Databricks?** compatibility with Azure ecosystem and native security and compliance within the environment **What do you dislike about Azure Databricks?** The need to have an AWS account on Azure to be able to use Databricks. CI/CD needs additional support, and Spark clusters go up and down **What problems is Azure Databricks solving and how is that benefiting you?** Cluster management and upscaling is the most common issue I face. So this difficulty is removed with Azure Databricks and helps in configuring and managing clusters. As my data sources need to scale, Databrick manages the Autoscaling itself. ## Azure Databricks Discussions - [When data is small how can I reconfigure cluster to automatically adjust . I don't know which day data coming will be small.](https://www.g2.com/discussions/azure-databricks-when-data-is-small-how-can-i-reconfigure-cluster-to-automatically-adjust-i-don-t-know-which-day-dat) - 1 comment, 1 upvote - [What is the best way to databricks in ADF](https://www.g2.com/discussions/26515-what-is-the-best-way-to-databricks-in-adf) - 1 comment, 1 upvote - [What is Azure Databricks used for?](https://www.g2.com/discussions/azure-databricks-what-is-azure-databricks-used-for) - 2 comments - [Is Azure Databricks PaaS or SAAS?](https://www.g2.com/discussions/is-azure-databricks-paas-or-saas) - 2 comments - [Does Microsoft own Databricks?](https://www.g2.com/discussions/does-microsoft-own-databricks) - 2 comments - [View Azure Databricks pricing details and edition comparison](https://www.g2.com/products/azure-databricks/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-17+22%3A31%3A46+-0500&secure%5Bsession_id%5D=96c1b20b-d6d7-4740-a431-2e1b4c074a20&secure%5Btoken%5D=fee5f5d9d8018de00da1a8c6f024708b7afe0cd56a66c360c48ed4fd5a0c3b35&format=llm_user) ## Azure Databricks Integrations - [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - [Azure Data Lake Store](https://www.g2.com/products/azure-data-lake-store/reviews) - [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) ## Azure Databricks Features **Data Transformation** - Real-Time Analytics - Data Querying **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **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 Azure Databricks Alternatives - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (845 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (706 reviews) - [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) - 4.3/5.0 (415 reviews)