--- 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. If you want to be an effective ML learner, use Databricks **Rating:** 3.5/5.0 stars **Reviewed by:** Francesco P. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 01, 2020 **What do you like best about Azure Databricks?** Very simplified infrastructure initialization Seamless and automated optimization of job execution Simple tool to get used to **What do you dislike about Azure Databricks?** Visualization - Great area of improvement Integration with Git COST **Recommendations to others considering Azure Databricks:** Great end to end analytics solution on AWS or Azure. Databricks continues to grow based on customer feedback. Just like everyone in the industry, they are focused on Machine Learning, but they also understand a complete solution is needed. **What problems is Azure Databricks solving and how is that benefiting you?** I actually use Databricks for experiments and research for my master's program. I mostly use it to implement Python codes and testing the viability of the programs that I write. Many individuals in the Computer Information System department are using this software platform to implement programs. It is a good tool for us to learn [and] includes a community forum that is rather helpful if you are self-learning and have questions. ### 2. Cutting edge all purpose powerful data processing tool **Rating:** 4.0/5.0 stars **Reviewed by:** Sumit K. | Senior Azure Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2020 **What do you like best about Azure Databricks?** Azure Databricks ability to support multiple programming languages like pythn, SQL, Sparl and many other languages. Documentation around databricks is very useful for person starting with databricks. Morefule what makes databrics unique is the ability to upgrade and downgrade power of clusters which are used for processing. **What do you dislike about Azure Databricks?** The costing is high as compared to other tools available in market which makes it less favourable when it comes down to making a selection. **Recommendations to others considering Azure Databricks:** If you have a heavy budget and wants a flexible tool to implement BI solution, this is a must go technology which can be easily integrated with other tools. **What problems is Azure Databricks solving and how is that benefiting you?** With databricks we have have processed terabytes of sales data from various heterogenous sources in very less time and created report on top of processed data. ### 3. Azure Databricks a complete solution to your big problem **Rating:** 4.5/5.0 stars **Reviewed by:** Uttam K. | Technology Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 25, 2020 **What do you like best about Azure Databricks?** Awesome service provided by Microsoft cloud provider. You can run your jobs without bothering about the configuration. Just setup your cluster according to need and start writing your logic in notebook. Its as simple as that. And supports languages such as R, Python, Java, SQL, Scala **What do you dislike about Azure Databricks?** As far as my experience is concerned I loved it. And the Databricks team works for giving user a flawless experience. **Recommendations to others considering Azure Databricks:** It's a awesome service provided by Azure go for it and experience the Wow. **What problems is Azure Databricks solving and how is that benefiting you?** We have huge amount of data in peta bytes. And to process using Hadoop it takes time as well as it supports streaming which was one of the requirement. In our project performance was most important so we opted for Databricks. ### 4. Unified data analytics on cloud is the future **Rating:** 4.5/5.0 stars **Reviewed by:** Anudeep B. | Student Mentor, Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2020 **What do you like best about Azure Databricks?** With any language (SQL, Python or Scala) handle the data the way it is needed to be in one go. Helps to skip jumping between different tools. Interactive clusters are so innovative. **What do you dislike about Azure Databricks?** Needs some hands on to get the gist on how it works. Takes a while to understand what is what and explore this amazing stuff. **Recommendations to others considering Azure Databricks:** This is the future. This is easy to use. This saves a lot of time and effort. Reduces cost when used optimally. Performance tuning is the key. **What problems is Azure Databricks solving and how is that benefiting you?** Data analytics as a whole ### 5. Databricks for data analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** April 08, 2020 **What do you like best about Azure Databricks?** We use azure databricks fro data analytics. We perform all analytics related to retail over databricks and then build dashboard in power bi , It’s quite a good tool for analytics, and can handle a large size data. **What do you dislike about Azure Databricks?** Databricks connectivity with powerbi creates a bit issue. While importing table we face lot of issues, I hope it get resolve soon. To load a large size data it takes lot of time and efforts. **Recommendations to others considering Azure Databricks:** Tool with capability with pySpark , sql . ETL work can be done and analytics work can also be done from same tool. **What problems is Azure Databricks solving and how is that benefiting you?** Azure databricks is efficient and simple to use. It provides same functionality as we were getting from other tools with its own file system. Best part about databricks is connectivity with power bi. ### 6. From Azure HDInsight toAzure Databricks **Rating:** 3.5/5.0 stars **Reviewed by:** Dmitrii M. | Cloud Infrastructure Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 17, 2020 **What do you like best about Azure Databricks?** The documentation fully covered all needs and often was updated. In our case, we needed to migrate our downstream jobs from HDP to Databricks and that worked well. The possibility to run ETL Spark jobs temporarily instead of having the big HDP cluster for "three" parallel jobs per day in the Azure cloud is amazing. **What do you dislike about Azure Databricks?** We cannot ssh directly to node. Don't have a small machine type. There is no way to automatically create the token for the user without already token (the first one you need to create manually). BIG trouble with streaming apps. **Recommendations to others considering Azure Databricks:** Do not use that for streaming. **What problems is Azure Databricks solving and how is that benefiting you?** We've saved a lot of money with on-demand running several Spark apps against 24/7 running HDInsight. Cost-saving is good, ### 7. Azure Databricks takes away all the pain **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.) **Reviewed Date:** April 26, 2020 **What do you like best about Azure Databricks?** Azure Databricks helps you have a sync in between other services using terraform or powershell scripts. You can have your clusters ready to spin once a job is done on the other resources. Let's say, running a HDinsight job to stream and then using Databricks to analyse right after another on a same serverless architecture is great. **What do you dislike about Azure Databricks?** First of all, Databricks is bet expensive, and then time consumed in bringing clusters up kind of puts a break in the speed. **Recommendations to others considering Azure Databricks:** Anyone looking for a managed servers to execute data science jobs, architect your design well and keep the uptime costs and startup duration in mind. **What problems is Azure Databricks solving and how is that benefiting you?** Trying to get all of our data in one place and getting it ready for BI. Benefits: We were able to design a serverless architecture on cloud to do all our heavy data lifting and Databricks played a very crucial part in analysing it and making it ready. ### 8. Databricks new generation fast spark engine with unified development environment **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Enterprise (> 1000 emp.) **Reviewed Date:** November 02, 2020 **What do you like best about Azure Databricks?** The Notebook feature for development and integration with all azure services like datalake etc and fully scalable cluster with auto scale and shutdown when idle **What do you dislike about Azure Databricks?** The cost for databricks unit is more than the cost of VM running it. **What problems is Azure Databricks solving and how is that benefiting you?** Building scalable data engineer products with there transformation processing pipelines and analytical canonical models. ### 9. All-in-one solution for all big data needs **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 18, 2020 **What do you like best about Azure Databricks?** Azure Databricks is a complete package that can handle the data processing needs of every organisation - from the smallest start-ups to thw largest enterprises. With the collaborative power of notebooks, data engineers, data scientists as well as analysts can all access and work on the same data, leading to more efficient processes. It is massively scalable and being built on Spark, it can parallely process huge data volumes at lightning fast speeds, and keeps costs low at the same time. **What do you dislike about Azure Databricks?** The UI of the notebook could be improved, with better syntax highlighting and editing options to enable faster coding. **Recommendations to others considering Azure Databricks:** It will make your pipelines more efficient and easy to use. **What problems is Azure Databricks solving and how is that benefiting you?** I am using Azure Databricks at work to handle huge volumes of supply chain data for multinational FMCG companies whose needs are critical to make their deliveries smooth and reliable. Databricks Delta is a very valuable innovation that allows easy updates to frequently changing data and the integration with other Azure applications make it a breeze to use. ### 10. Benefits of Azure Dadabricks **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2020 **What do you like best about Azure Databricks?** Databricks is good for someone who wants to have everything at once place. It takes out database management(with CosmosDB) and resource management, load balancing etc(with clusters). You also have a mini version control system for your code, integrated in the notebook. You have a DBFS for dumping your files(inexpensive storage) and beautiful integration with Spark. Its perfect for running pipelines. I would highly recommend Databricks if your task involves a pipeline. **What do you dislike about Azure Databricks?** There is nothing bad about it. Azure data factory and other 3rd party tools like talend / Informatica Are still great for most ETL used cases.SQL DW is still better solution for building as DW. **Recommendations to others considering Azure Databricks:** It's good with speed security and collaboration **What problems is Azure Databricks solving and how is that benefiting you?** Benefits on Azure Data bricks is Speed, security and collaboration. Data engineers can create, clone and edit clusters of complex, unstructured data, turn them into specific jobs and deliver them to data scientists and data analysts for review. Data scientists can explore jobs for insights, or run different types of advanced analyses on the same cluster of data in one interface - all the while Databricks auto-scales with the cloud to minimise the total resources in use for optimised performance. Any derived insights can be stored in Azure SQL Data Warehouse at petabyte scale, and the elastic nature of the cloud data warehouse allows organisations to load and process any type of data at scale for enterprise reporting. ### 11. All your things in one place **Rating:** 5.0/5.0 stars **Reviewed by:** Animesh B. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 20, 2020 **What do you like best about Azure Databricks?** The way things organized in Databricks. You can get all your workspace at one place.You can clone part of your notebook into another place with one go. You have build in Python language to run on.You can change your shell quickly. You have all cluster configuration in one place. **What do you dislike about Azure Databricks?** I did not find anything to dislike about Databricks **What problems is Azure Databricks solving and how is that benefiting you?** We build a model to support out client using Databricks ### 12. Azure Databricks as a solution for Big Data **Rating:** 5.0/5.0 stars **Reviewed by:** Prabhat K. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 20, 2020 **What do you like best about Azure Databricks?** The best of databricks is handling the complexity of data(structured,unstructured,semistructure).It provides It keeps us other service managing pipelines ,monitoring it and notebooks in different language scala,python,R,java and some others. **What do you dislike about Azure Databricks?** Sometimes i have faced cluster issues like java heap memory issue,cluster failure issue. **What problems is Azure Databricks solving and how is that benefiting you?** Data bricks provides Data lake to store data,Data factory to create pipelines which can be used in transferring data and Azure data service(workspace) to perform analysis.From building model to perform analysis we can use it.Like we can use notebook and create our own clusters to perform any activities.It provides end to end data security and compliances.Apart from that clusters have auto scaling options. ### 13. Transformations Bricks. **Rating:** 5.0/5.0 stars **Reviewed by:** Uayeb C. | Advanced Analytics Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** October 31, 2019 **What do you like best about Azure Databricks?** Workbooks to test your analytics solutions is one of the most common tools, that’s why Azure has brought data bricks within its marketplace. This one works a lot with this methodology, you can create your blocks of code using python, scala, and R. they recommend use Scala because it was developed using that programming language. When you start to have issues with transformation timing it is the time to think in data bricks, this is set up in a cluster where you can easily scale-up. The folder structure is easy to understand and quickly you can store your workbooks in folders by projects. You don’t waste time setting Hadoop or Spark Azure and data bricks do this task for you. Another amazing stuff it is multiprogramming blocks, what does it mean? You can create your workbook if python but you can use scala or R at the same time. If you are having issues doing transformations with your favorite language program you can do with other one storing your data frames in HIVE: **What do you dislike about Azure Databricks?** Work collaboratively it is not easy when you plan to implement azure DevOps, this is because you need sync your workbook with a git repository and if you have many people working on the same page and linked with git you will need to resolve a lot of conflicts. **Recommendations to others considering Azure Databricks:** Use spark libraries. **What problems is Azure Databricks solving and how is that benefiting you?** Performance issued with ML using Azure ML Studio, as we don’t have a way to scale up processing power, we migrate our training and predicting ETL to data bricks, we reduce 20 minutes to 45 seconds. But watch out you must use pyspark. ### 14. Great Start for Naive Learners **Rating:** 3.5/5.0 stars **Reviewed by:** Rutesh R. | Technical Writer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2020 **What do you like best about Azure Databricks?** I loved the way the content has made available within its flow, which is quite understandable and also the context is simple to understand and one can perform the tasks easily as it has embeded notebook for practical implementation with good graphical representation. Even the have provided solution for each exercise notebook. I thank you to Marc Harell and DataBricks for such informative course **What do you dislike about Azure Databricks?** Please make the website little lighter as even with good internet connection it takes lot time to load. **What problems is Azure Databricks solving and how is that benefiting you?** Well inspite of new technology learned, i have started implementing in my personal project and looking forward for advance courses for Azure with DataBricks. ### 15. Excellent platform for ML Engineers **Rating:** 5.0/5.0 stars **Reviewed by:** Nithin G. | Technical Lead, Enterprise (> 1000 emp.) **Reviewed Date:** April 29, 2020 **What do you like best about Azure Databricks?** unlimited options to manipulate data, support for different programming languages **What do you dislike about Azure Databricks?** connectivity to other azure features like data lake storage are not as seamless as one would expect it to be **What problems is Azure Databricks solving and how is that benefiting you?** i use databricks to build all kinds of data engineering solutions to my customer. Our data warehousing pipelines use databricks as a main source for data manipulation and data processing ### 16. Azure databricks is a multifunctional bigdata platform for of your needs. **Rating:** 5.0/5.0 stars **Reviewed by:** Aman N. | Manager - Solutions & Engineering, Enterprise (> 1000 emp.) **Reviewed Date:** April 20, 2020 **What do you like best about Azure Databricks?** Seamless experience of dealing with bigdata. Multiple options to process your data. Provides granular detailing to control your jobs and check logs. **What do you dislike about Azure Databricks?** UI could be better. UI is slow which I believe would be because of many functionality at one place making it heavy. **Recommendations to others considering Azure Databricks:** One place for all your bigdata needs. **What problems is Azure Databricks solving and how is that benefiting you?** Processing bigdata within subscription and cross subscription ### 17. Azure Databricks unifies analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Deepak R. | Data Engineering / Advanced Analytics Technical Delivery Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** April 09, 2020 **What do you like best about Azure Databricks?** Azure Databricks is a unified platform via which you can ingest data from variety of sources structured / semi structured and do the ETL and data Engineering operations instantly. You can utilise the language of your choice i.e. python / sql **What do you dislike about Azure Databricks?** I certainly miss the drag and drop capabilities which we get in the ETL tools. Though this is not a reason to not to use it. **What problems is Azure Databricks solving and how is that benefiting you?** We are using Azure Databricks to ingest the data from Netezza to Azure Synapse Analytics and snowflake as wel. We are utilising the managed delta lake capabilities as well. ### 18. Great Platform for writing reusable code to provide solutions for Complex Problems and Big Data **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2020 **What do you like best about Azure Databricks?** The On demand Scalable Spark Cluster. The code reusability and shareable notebooks Connectivity with different Azure components like Blob Storage, Synapse Analytics and Power BI User Friendly Trainings provided by different teams **What do you dislike about Azure Databricks?** I do not dislike anything so far. I am having really a good time with Databricks. **What problems is Azure Databricks solving and how is that benefiting you?** I am using Databricks for compressing the source data, also performing the different Data Transformation as per the business use case and finally Data Loading to Synapse/Blob for further use. There are different use cases which we are handling using Azure Databricks. ### 19. The Fastest one for Data Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Mani M. | Security Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** April 13, 2020 **What do you like best about Azure Databricks?** It a fastest one and it support multiple languages and frameworks and it's a high performance so, i think this is the best one for analytics service **What do you dislike about Azure Databricks?** I think all the services provided by those are good. **Recommendations to others considering Azure Databricks:** Nothing at all **What problems is Azure Databricks solving and how is that benefiting you?** Supports Machine Learning so, that it's provide effective solutions. ### 20. Sometimes it's been slow if multiple users revise the same code chunk. **Rating:** 4.0/5.0 stars **Reviewed by:** YUMIN Z. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 27, 2020 **What do you like best about Azure Databricks?** We can revise the code at the same time. they have different code chunk so it's easy to communicate with members by specifying chunk number. **What do you dislike about Azure Databricks?** It's slow when multiple people revise together. It costs a lot when running times become large. **Recommendations to others considering Azure Databricks:** remember to run the package you need before running the code. and check the version of package. **What problems is Azure Databricks solving and how is that benefiting you?** machine learning problem. We revise R code in Azure Databricks. It's quite interesting but package is the main problem. ### 21. Why Azure Databrick ?? **Rating:** 5.0/5.0 stars **Reviewed by:** Anand S. | Computer Programming Content Writer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 25, 2020 **What do you like best about Azure Databricks?** It has helped us to adopt fast and mobile application of Artificial Intelligence without any need for maintenance. **What do you dislike about Azure Databricks?** Bring out some more services and maybe making it more cost-effective will benefit users in a lot of ways. **What problems is Azure Databricks solving and how is that benefiting you?** We deploy our learning models on Azure.The benefits are many.Most important of them being is that the platform is versatile and easy to use.With some form of initial training almost everyone can learn to use it. ### 22. Great support of Azure Databricks in Retail **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** April 20, 2020 **What do you like best about Azure Databricks?** We use Azure Databricks to analyze data from both the legacy system and on-cloud. Installing libraries within a notebook is a great feature of Data Bricks. **What do you dislike about Azure Databricks?** 1. Sometimes a cluster is terminated unexpectedly. 2. Unable to fetch large records(4000 or more) from Source **What problems is Azure Databricks solving and how is that benefiting you?** We use Azure Databricks to analyze data from both the legacy system and on-cloud. After fetching the data from the source system, we write a code in python for creating the expected folder structure to store the structured and semi-structured data separately after transformation of data. We log the data in Application insights and then pass it into the PowerBI report. ### 23. Great Collaborative Environment for Apache Spark **Rating:** 4.0/5.0 stars **Reviewed by:** Andrés E. | Data Engineer, E-Learning, Enterprise (> 1000 emp.) **Reviewed Date:** October 31, 2019 **What do you like best about Azure Databricks?** Azure Databricks is a very handytool when you are trying to work with big data. Databricks core architecture is based in Apache Spark and as such it supports the major languages Spark supports: R, Python, Scala & SparkSQL. The thing I like the most from Azure Databricks is how easily it integrates with other technologies such as Azure Pipelines, Azure ML Services & Azure DevOps. Also you aren´t limited to use only one language per notebook, you can easily switch from one language to other using wildcards in the same notebooks to compliment the weaknesses of one language with the strengths of other languages. Notebooks have version control built in, as well as support for Markdown and visualization. It also scales easily to meet the needs of your analytics team. **What do you dislike about Azure Databricks?** Would like better syntax recognition for the programming languages supported by Spark. Currently databricks lacks some features that major IDE's like Spyder for Python or R Studio for R have. **Recommendations to others considering Azure Databricks:** If you integrate your notebooks with a version control software such as git be careful while handling databricks notebooks. Notebooks already have a built in version control tool that could interfere with git. Make sure you check out your last commit from git the first time you clone a notebook to avoid both version control systems interfering with each other. **What problems is Azure Databricks solving and how is that benefiting you?** - Parallel Processing big amounts of data - Consolidating data processes for transformations and historical datasets - Creation of new data products - Integration with ML Services - ETL Construction ### 24. Outstanding managed Spark in the cloud **Rating:** 5.0/5.0 stars **Reviewed by:** Radoslav G. | Software Architect & Managing Partner, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** September 22, 2019 **What do you like best about Azure Databricks?** Azure Databricks is a wonderful big data processing engine enabling you to build complex processes such as ETL, data analysis, machine learning, stream operations while the data you feed into it is of a huge amount. It takes care of deploying and managing your cluster and you even have an option to enable auto-scaling to keep track on its load. You can choose between many languages such as Scala, SQL, Python, R and Java. **What do you dislike about Azure Databricks?** I would say that the UX and UI can be improved. **Recommendations to others considering Azure Databricks:** I would say that's the proper way to use spark. **What problems is Azure Databricks solving and how is that benefiting you?** We use Azure Databricks to analyze a big amount of data streaming from a legacy system. The data is being loaded into Azure Datawarehouse and then modeled in Azure Analysis Services for a handier reporting. ### 25. Very easy to use, high performance, distributed and scalable **Rating:** 4.5/5.0 stars **Reviewed by:** Wayne M. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 22, 2020 **What do you like best about Azure Databricks?** Able to process huge data very quickly. Flexible for use of different programming languages in the same notebook. **What do you dislike about Azure Databricks?** Lacks a good debugger. Sometimes it's hard to know what's going on when something goes wrong. **Recommendations to others considering Azure Databricks:** Good for huge data processing and great for machine learning **What problems is Azure Databricks solving and how is that benefiting you?** Use databrick as out ETL platform for leveraging our ETL framework for moving big data daily very quickly. ### 26. Good big data software to learn **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2020 **What do you like best about Azure Databricks?** The software is easy to implement. Spark distribution works very well in data ingestion and transformation of pipelines. It is amazing to develop data pipelines using databricks. **What do you dislike about Azure Databricks?** It takes lot of time to learn its implementation. **What problems is Azure Databricks solving and how is that benefiting you?** I am developing pipeline to clean data using datafactory and then using ETL using databricks and pyspark. And develop machine learning models using python, tableau. ### 27. Useful tool for scalable data analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2020 **What do you like best about Azure Databricks?** Easy to use, easy setup and upsizing of clusters. Good for collaboration **What do you dislike about Azure Databricks?** Uptime costs. A few other platforms only charge for runtime and not cluster uptime **Recommendations to others considering Azure Databricks:** Go for it **What problems is Azure Databricks solving and how is that benefiting you?** I am in the marketing field developing state of the art data solutions with a big team. Databricks enables collaboration with multiple people has become so much easier. ### 28. Great Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Saurabh S. | Tech Data Management Senior Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2020 **What do you like best about Azure Databricks?** It supports multiple language in same notebook. Once connected to cluster its lightening fast. **What do you dislike about Azure Databricks?** Custer takes time to start and connecting to a notebook **What problems is Azure Databricks solving and how is that benefiting you?** I am currently developing a Near real time system and it helps me achieve that by processing data in few secs. ### 29. Review on Azure Databricks **Rating:** 3.5/5.0 stars **Reviewed by:** Srinivasulu k. | Consultant - Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2020 **What do you like best about Azure Databricks?** The ease of loading and transforming data in Azure databricks, where data can be loaded from multiple sources. Also, the time taken to process is also faster. **What do you dislike about Azure Databricks?** The layout looks old and odd. A better UI with helpful tools for navigation may help it. **What problems is Azure Databricks solving and how is that benefiting you?** I have used it for learning purpose. ### 30. Azure Data Engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2020 **What do you like best about Azure Databricks?** Dynamic environment , scalable and adaptable computing power **What do you dislike about Azure Databricks?** Integration with version control tools. Working on separate git branch does not separate notebooks from other coworkers, they still can see notebook version that is worked on. **What problems is Azure Databricks solving and how is that benefiting you?** Databricks made building ETL pipelines much easier and working with ML libraries are quite convenient ### 31. Best computing engine ever used **Rating:** 4.5/5.0 stars **Reviewed by:** Akshay K. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 12, 2020 **What do you like best about Azure Databricks?** The instantaneous creation of cluster using the requirements of our need and marvelous computing power **What do you dislike about Azure Databricks?** I think it is a little overpriced to be used. **Recommendations to others considering Azure Databricks:** If you have more computation and less time, Azure databricks is what you need **What problems is Azure Databricks solving and how is that benefiting you?** Save a lot of computing time by using the spark engine ### 32. Friendly UI with highly optimized feature. **Rating:** 5.0/5.0 stars **Reviewed by:** Akansh G. | Senior Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2020 **What do you like best about Azure Databricks?** UI and optimization technique, highly scalable. **What do you dislike about Azure Databricks?** Not included every feature of the spark. **Recommendations to others considering Azure Databricks:** Good product, easy to use highly optimized and highly scalable and have a different flavor for the different use cases. **What problems is Azure Databricks solving and how is that benefiting you?** Computation memory is less as compared with other products. UI friendly. ### 33. Azure Databricks **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Management Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** April 26, 2020 **What do you like best about Azure Databricks?** Magic codes capability and user based control on notebooks **What do you dislike about Azure Databricks?** Some time faced problem with yarn and faced difficulty in auto scaling while nodes have much load. **What problems is Azure Databricks solving and how is that benefiting you?** Creating machine learning models based on business requirements. Benefit : costs with on-demand cluster creation. ### 34. Databricks rocks! **Rating:** 5.0/5.0 stars **Reviewed by:** Dhyan S. | Product & Data Strategist/Cofounder, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2020 **What do you like best about Azure Databricks?** The most important is user friendliness! **What do you dislike about Azure Databricks?** I don’t think I have experienced any issues so far to really point out anything. **Recommendations to others considering Azure Databricks:** If you are a Microsoft shop, no brainer to use this...platform! **What problems is Azure Databricks solving and how is that benefiting you?** Mainly using for research projects and recently started using for commercial applications! ### 35. User friendly UI so anyone can easily work.Good performance and easy to view log facility. **Rating:** 5.0/5.0 stars **Reviewed by:** Naveen Kumar V. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 18, 2020 **What do you like best about Azure Databricks?** Best user interface and auto scaling upto 8 vm. **What do you dislike about Azure Databricks?** High Cost effectictive for running job.Not suitable for low data processing. **What problems is Azure Databricks solving and how is that benefiting you?** Run spark program in azure data bricks it give 100% high performace when I run etl code without spark in databricks. Scalable,high performance,Reliable. ### 36. Big Data Developer **Rating:** 3.5/5.0 stars **Reviewed by:** prajesh r. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 08, 2020 **What do you like best about Azure Databricks?** Its very easy to move from any platform to this product as it supports most of the languages and has a very user friendly interactive Interface **What do you dislike about Azure Databricks?** Cost of computation is on higher side.No support for JAVA **Recommendations to others considering Azure Databricks:** +1 **What problems is Azure Databricks solving and how is that benefiting you?** Creating and developing ml services. ### 37. Easy to use, no need to go for functional programming. Even beginners can use it easily **Rating:** 4.5/5.0 stars **Reviewed by:** Dadakhalandar M. | Associate Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** April 11, 2020 **What do you like best about Azure Databricks?** Running code with different clusters and also scheduling the job is easy. **What do you dislike about Azure Databricks?** Error messages should more appropriate. Suppose when ever user is trying to execute without connecting to cluster it is not saying to connect first. **What problems is Azure Databricks solving and how is that benefiting you?** Mostly for Data transformation. ### 38. User friendly **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** July 09, 2020 **What do you like best about Azure Databricks?** Doing analytics using python. It is easy to use **What do you dislike about Azure Databricks?** Creating Clusters and costing of data bricks **Recommendations to others considering Azure Databricks:** It would be very easy if costing is a bit low **What problems is Azure Databricks solving and how is that benefiting you?** Data analytics and unstructured data ### 39. Probably the best tool made till date for scalable data analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Supratik D. | Senior ML Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 24, 2019 **What do you like best about Azure Databricks?** The ability to write Spark-Scala, Spark-SQL, PySpark, R codes interchangeably . And the wonderful Notebook feel . Much better than Dataproc/ Jupyter (from my past experiences ) **What do you dislike about Azure Databricks?** Sometimes clusters take forever to create and start **Recommendations to others considering Azure Databricks:** Go for it if you are not using already. Better than Zeppelin, Jupyter, Dataproc and the whole host of other tools out there. **What problems is Azure Databricks solving and how is that benefiting you?** Scalable AI problems and Big data modelling problems. This provides a unified platform for BD and AI @ scale. This is the need of the future for Scalable AI to be implementable at full fledge. Spark and Databricks leading the way ### 40. Databricks allows us to overcome the problem of ADLA **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Small-Business (50 or fewer emp.) **Reviewed Date:** April 09, 2020 **What do you like best about Azure Databricks?** Computation time, Easily integration with azure services, Uses of multiple languages within one notebook **What do you dislike about Azure Databricks?** Cost are very high, Sometime query behaviour is not good, sometimes we faces the authentication issue while using the mounted adls path **Recommendations to others considering Azure Databricks:** It is overall a good platform to deal with big data analytics problem in current market.Biggest thing which i like is easy to use and integrate with multiple azure services **What problems is Azure Databricks solving and how is that benefiting you?** Big data problems majorly for healthcare clients ### 41. I have been using Databricks **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Industrial Automation | Small-Business (50 or fewer emp.) **Reviewed Date:** April 13, 2020 **What do you like best about Azure Databricks?** I have been using Databricks from past 5 month and appreciate the team at back end and there contribution on Databricks. Its ML capabilities.Running of clusters to turn on and off and minimum time to its 1 mint of 5 to decrease the price cost **What do you dislike about Azure Databricks?** Running of clusters to turn on and off and minimum time to its 1 mint of 5 to decrease the price cost **What problems is Azure Databricks solving and how is that benefiting you?** Solving ETL ### 42. Good For Scripting **Rating:** 4.0/5.0 stars **Reviewed by:** Abhinay S. | Data Consultant V, Enterprise (> 1000 emp.) **Reviewed Date:** April 14, 2020 **What do you like best about Azure Databricks?** Easy scripting capabilities with integration to Python notebooks. **What do you dislike about Azure Databricks?** Lack of an IDE like feature to execute Python projects with multiple files. **Recommendations to others considering Azure Databricks:** Good for proto typing. **What problems is Azure Databricks solving and how is that benefiting you?** Big Data work using PySpark. ### 43. Best Tool for building AI/Data Science Applications **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.) **Reviewed Date:** April 27, 2020 **What do you like best about Azure Databricks?** The best part is flexibility in writing code, which ever you are familiar with (such as Python, R, Scala, SQL). Personally I liked very much the flexibility provided in setting up the cluster in seconds and add libraries, with ease. very smart and intelligent Tool. **What do you dislike about Azure Databricks?** Nothing. Almost what ever a data scientist required, is provided. **What problems is Azure Databricks solving and how is that benefiting you?** Predictive Modelling and Data analytics ### 44. Machine Learning Engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2020 **What do you like best about Azure Databricks?** The Machine Learning support and delta lake **What do you dislike about Azure Databricks?** The scheduling and monitoring of pipelines **What problems is Azure Databricks solving and how is that benefiting you?** We are using delaa lake to handle the data and recomendation engine using Machine learning , we are running wide and deep neural net works, with hovord support and databricks has done fantastic job which give us to have auto scalling , and gpu support ### 45. Azure Databricks is awesome.we can use multiple languages in it. **Rating:** 5.0/5.0 stars **Reviewed by:** Rakesh Kumar P. | Senior Developer, Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2020 **What do you like best about Azure Databricks?** Easy to write the code in multiple languages **What do you dislike about Azure Databricks?** Unable to return dataframe from notebooks **What problems is Azure Databricks solving and how is that benefiting you?** I solved the etl process . ### 46. Analyze your data with Apache Spark. **Rating:** 4.0/5.0 stars **Reviewed by:** Jamer M. | Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 07, 2019 **What do you like best about Azure Databricks?** I like Azure services, Azure databricks with AI is great for analyzing giant databases without errors. The compatibility with SQL is perfect for my personal works, I analyze everything I need. **What do you dislike about Azure Databricks?** I like all Azure systems, I have no problem with Azure Databricks. **Recommendations to others considering Azure Databricks:** I recommend this system, the interface is beautiful, Azure offers professional support at all times, it is perfect for work with large amounts of data. **What problems is Azure Databricks solving and how is that benefiting you?** Process large amounts of data on the Internet, the processes are scalable and controlled, to process with greater efficiency and speed large amounts of data without problems in the process. ### 47. It is really good and based on the cluster you can configure the things on the fly **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** April 22, 2020 **What do you like best about Azure Databricks?** Performance.We are processing full volume and by scaling it it takes lesser time. Delta lake is integrated into databricks using which DML operation can be executed **What do you dislike about Azure Databricks?** UI can be improved further.There is some failure which can be made easy to debug **Recommendations to others considering Azure Databricks:** Please consider on top of etl tool **What problems is Azure Databricks solving and how is that benefiting you?** I am building enterprise datawarehouse ### 48. Quick and easy data analysis based on Apache Spark **Rating:** 4.0/5.0 stars **Reviewed by:** Joshua K. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 22, 2019 **What do you like best about Azure Databricks?** I like the Interface, Azure always offers the best in its products. The integration with Apache Spark is perfect, AI works well to analyze large amounts of data, unlock all your data and create solutions. Compatibility with SQL, Java and Python. Azure Databricks support and documentation help a lot. **What do you dislike about Azure Databricks?** This system is perfect, everything works, it is stable and powerful, I have nothing negative. **Recommendations to others considering Azure Databricks:** This service can not be missing in your company if you handle large amounts of data, I recommend it. **What problems is Azure Databricks solving and how is that benefiting you?** The AI is scalable and is always working, for the amount of data that is always processed, there are no failures. ### 49. Best option to build enterprise DataLakes **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** May 02, 2020 **What do you like best about Azure Databricks?** Databricks is the best option to build enterprise level scalable datalakes doing high performance SLAs and it has good capability of building complex ETL solutions in Big Data Area. **What do you dislike about Azure Databricks?** Some challenges with ACID compliance features when handling large volumes of data. **What problems is Azure Databricks solving and how is that benefiting you?** Building Near Real time solutions. ### 50. Amazing data insight and analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2020 **What do you like best about Azure Databricks?** I like the collaboration abilities it provide by allowing the team sharing the workspaces, clusters and jobs using a s single interface. Also I love the dynamic notebook. **What do you dislike about Azure Databricks?** There is nothing I don’t like. Azure Databricks does the job right **What problems is Azure Databricks solving and how is that benefiting you?** Azure dataBricks helped my organization to invent new Programs and new lines of revenue ## 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=4§ion=pricing&secure%5Bexpires_at%5D=2026-07-21+16%3A01%3A53+-0500&secure%5Bsession_id%5D=ff5293d1-3b1f-405d-9235-673f5c3b36e9&secure%5Btoken%5D=4c1581eef5baa364347982885a83bce43dd7af5b89b7858a3c0f6241f64febaf&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 (846 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (708 reviews) - [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) - 4.3/5.0 (415 reviews)