# Databricks Reviews
**Vendor:** Databricks Inc.  
**Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution)  
**Average Rating:** 4.6/5.0  
**Total Reviews:** 761
## About Databricks
Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.



## Databricks Pros & Cons
**What users like:**

- Users appreciate the **advanced AI features and robust data security** of Databricks, enhancing their machine learning capabilities. (287 reviews)
- Users find **Databricks easy to use** , especially for model hosting and serving with seamless integrations and real-time data management. (277 reviews)
- Users value the **seamless integrations** of Databricks with various tools, enhancing data handling and collaboration significantly. (189 reviews)
- Users value the **excellent collaboration** features of Databricks, enabling real-time teamwork among data engineers and analysts. (150 reviews)
- Users love the **effective data management features** of Databricks, simplifying complex tasks with powerful tools and integrations. (149 reviews)
- Users appreciate the **easy integrations** of Databricks, seamlessly connecting with cloud infrastructure and enhancing data management. (148 reviews)
- Analytics (137 reviews)
- Machine Learning (136 reviews)
- ML Integration (135 reviews)
- Scalability (132 reviews)

**What users dislike:**

- Users experience a **steep learning curve** with Databricks, complicating adoption and understanding due to its complexity. (112 reviews)
- Users find Databricks to be **expensive** , particularly when handling large datasets and uncertain pricing structures. (97 reviews)
- Users face a **steep learning curve** with Databricks, making initial adoption challenging for teams. (96 reviews)
- Users struggle with the **missing features** of Databricks, limiting customization and complicating the development process. (68 reviews)
- Users find the **complexity** of Databricks challenging, particularly due to the steep learning curve and integration limitations. (64 reviews)
- Users face **unintuitive UI issues** that lead to random errors and complicate the experience for non-technical users. (61 reviews)
- Performance Issues (56 reviews)
- Poor UI Design (53 reviews)
- Difficult Learning (51 reviews)
- Complex Setup (45 reviews)

## Databricks Reviews
  ### 1. Most suitable is you have majoring data work

**Rating:** 5.0/5.0 stars

**Reviewed by:** Juhi B. | Marketing user, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Reports, efficiency, less work from our team

**What do you dislike about Databricks?**

Training takes longer than usual because of its in-depth points

**What problems is Databricks solving and how is that benefiting you?**

Organize our data

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your feedback. We understand that the in-depth training may be time-consuming, but we believe it's essential for maximizing the platform's capabilities.

  ### 2. Databricks Summit

**Rating:** 5.0/5.0 stars

**Reviewed by:** Venkat C. | Director of Software Engineering, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Flexibility, scalability, extensible for the databricks

**What do you dislike about Databricks?**

Security aspects can be more flexible for financial firms

**What problems is Databricks solving and how is that benefiting you?**

Determining ratings for the company

**Official Response from Aunalisa Arellano:**

> Thank you for sharing what you like about Databricks Data Intelligence Platform! We're glad to hear that you find it flexible, scalable, and extensible.

  ### 3. Best tool ever

**Rating:** 5.0/5.0 stars

**Reviewed by:** diego z. | Fuel efficiency coordinaror, Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Flexible and user friendly, business user empowered

**What do you dislike about Databricks?**

Reluctance from IT to fully empower business users

**What problems is Databricks solving and how is that benefiting you?**

Unification of financial metrics

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find the Databricks Data Intelligence Platform flexible and user-friendly. We might be a little biased, but we also think it is the best tool ever. Thanks so much for taking the time to share your thoughts.

  ### 4. Excellent for building data pipeline

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Oil & Energy | Enterprise (> 1000 emp.)

**Reviewed Date:** June 11, 2025

**What do you like best about Databricks?**

The performance of the data pipeline is astronomical and it really enhanced the productivity of promoting projects to product environment

**What do you dislike about Databricks?**

The learning curve is steep, some of the features are difficult to implement due to company policies

**What problems is Databricks solving and how is that benefiting you?**

We have a lot of legacy data set in different format, we need to migrate them to delta format.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you're finding Databricks Data Intelligence Platform excellent for building data pipelines and that it has enhanced your productivity. We understand that the learning curve can be steep, and we're continuously working to improve our platform's usability. If you have specific feature implementation challenges due to company policies, please reach out to our support team for assistance.

  ### 5. Bricks is gr8

**Rating:** 3.5/5.0 stars

**Reviewed by:** Srini A. | Solutions, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Alls good. Key note and everything gggggg

**What do you dislike about Databricks?**

Food is not so great would have been nbwtter

**What problems is Databricks solving and how is that benefiting you?**

Data consolidation

**Official Response from Aunalisa Arellano:**

> We are thrilled you were able to join us at the Data + AI Summit this year! Thanks for the feedback on the food. We will definitely share this with our events team. Thanks for taking the time to share your thoughts, and we hope to see you at another event soon. 

  ### 6. Databricks is a great platform

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Easy to use notebooks. You can use combinations of SQL and Python or other languages of your choosing.

**What do you dislike about Databricks?**

I wish it was easier to learn how to make the most of every feature.

**What problems is Databricks solving and how is that benefiting you?**

New place for code and processes that used to live in SAS. Ability to program in Python outside of Jupyter notebooks.

**Official Response from Aunalisa Arellano:**

> Thank you for your positive feedback about the ease of use and versatility of our platform. We understand that learning to make the most of every feature can be a challenge, and we're constantly working to improve our resources and documentation to help with that.

  ### 7. it was Great!

**Rating:** 5.0/5.0 stars

**Reviewed by:** umar k. | Data Eng, Computer Software, Enterprise (> 1000 emp.)

**Reviewed Date:** September 10, 2024

**What do you like best about Databricks?**

he Databricks Data Intelligence Platform is highly regarded for several reasons:

Unified Data Management: It combines the best features of data lakes and data warehouses into a single platform, known as the Lakehouse. This allows for seamless management of both structured and unstructured data.

Scalability and Performance: The platform is designed to handle large-scale data processing and analytics, making it suitable for enterprises of all sizes. It offers robust scalability and high performance2.
Open Source Integration: Databricks embraces open-source technologies like Apache Spark, Delta Lake, and

**What do you dislike about Databricks?**

Cost: Some users find the pricing to be on the higher side, especially for smaller organizations or individual users.

Complexity: Despite its powerful features, the platform can be complex to set up and manage, particularly for those who are new to data engineering and analytics.

**What problems is Databricks solving and how is that benefiting you?**

Data Silos: By unifying data lakes and data warehouses into a single Lakehouse architecture, Databricks eliminates data silos. This ensures that all data, whether structured or unstructured, is accessible from one platform.

Scalability Issues: The platform is designed to handle large-scale data processing, making it suitable for enterprises of all sizes.

**Official Response from Janelle Glover:**

> Thank you for your feedback! We're pleased to hear that our platform is helping eliminate data silos and address scalability issues for your organization. We understand that cost and complexity can be concerns for some users, and we are constantly working to improve our pricing and user experience.

  ### 8. Data and AI for everyone

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.)

**Reviewed Date:** May 20, 2025

**What do you like best about Databricks?**

Easy to use, but still technical enough.

**What do you dislike about Databricks?**

Still not the market leader, not public.

**What problems is Databricks solving and how is that benefiting you?**

Sharing data, ETL, Extracting value from it via dashboards for managers.

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks Data Intelligence Platform is helping you with sharing data, ETL, and extracting value through dashboards. We aim to provide solutions that bring tangible benefits to our users.

  ### 9. Empowering Data-Driven Success with Databricks' Unified Platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nikhita S. | Business Analyst (Now pursuing a Masters in Business Analytics), Small-Business (50 or fewer emp.)

**Reviewed Date:** September 06, 2024

**What do you like best about Databricks?**

What I like best about Databricks is how it brings everything into one place—it makes working with big data and running machine learning tasks easy and fast. Plus, it allows teams to collaborate smoothly, saving time and effort.

**What do you dislike about Databricks?**

What I dislike about Databricks is that it can be a bit overwhelming for beginners, and the cost can add up quickly if you're not careful with how you use resources.

**What problems is Databricks solving and how is that benefiting you?**

Databricks helps solve the problem of handling large amounts of data by making it easy to analyze, process, and share insights quickly. It's benefiting me by saving time and allowing my team to collaborate more effectively on data projects, all in one platform.

**Official Response from Janelle Glover:**

> Thank you for sharing your feedback. We're pleased that Databricks' platform has made it easier for your team to collaborate and save time on data projects. We understand the importance of cost management and offer tools to help users optimize resource usage.

  ### 10. Great platform to try, train and infer your AI models!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Ease to use platform
Provides foundational and popular AI models
Allows experimenting, training and inferring

**What do you dislike about Databricks?**

Documentation could be better. It's not intuitive to find the data intelligence platform section.

**What problems is Databricks solving and how is that benefiting you?**

It allows for training, fine-tuning and inferring AI models which is helping us a lot to try the AI models.

**Official Response from Aunalisa Arellano:**

> It's great to hear that our platform is helping you with training, fine-tuning, and inferring AI models. We're committed to continuously improving to meet your needs.

  ### 11. Data analyst's go to platform !

**Rating:** 4.5/5.0 stars

**Reviewed by:** Joey W. | Assosiate Database Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 09, 2024

**What do you like best about Databricks?**

Databricks has been amazing to work on. It provides real time data collection and management through big data ML , so resourceful i would say. It combines different data from large scale data processes and make it more usable which is execellent for medium as well big enterprises.And most amazing part i like its integration with Delta lake and spark.

**What do you dislike about Databricks?**

It is an advance platform although it needs some improvement in ui for beginners and cost can get pretty high for working on large data.

**What problems is Databricks solving and how is that benefiting you?**

Databricks is very helpful in sorting out and analysis of large datasets in real time which is big thing. Scalability options are very very versatile and ai works swiftly for analysis and decision making as well. So it makes us quite productive and saves lots of time.

**Official Response from Janelle Glover:**

> We're glad to hear that you find Databricks Data Intelligence Platform so resourceful and beneficial for your data analysis needs. We appreciate your feedback on the UI and cost, and we'll take this into consideration at we continue to improve our platform.

  ### 12. Best user

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

The distributed processing power is so quite good for all of data process in enterprise company

**What do you dislike about Databricks?**

It's quite hard to learn people who is not familiar with tech deeply

**What problems is Databricks solving and how is that benefiting you?**

There are ton's of data in enterprise company, databricks help us to process it by very easy way

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find the distributed processing power of the Databricks Data Intelligence Platform good for enterprise data processing.

  ### 13. Databricks Data Intelligence Platform: ETL, Scalability, and Job Scheduling

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ashish G. | Assistant Business Intelligence Developer , Mid-Market (51-1000 emp.)

**Reviewed Date:** January 07, 2025

**What do you like best about Databricks?**

ETL Pipeline automates batch and real-time data integration and quality data integration. Parallel data processing using multithreading. Scale up and scale down for optimising the cost

**What do you dislike about Databricks?**

Some SQL functions are not supported like declare, stored procedure, transaction rollback

**What problems is Databricks solving and how is that benefiting you?**

Fast ETL process, support of genie, Handling growing datasets

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you are enjoying the ETL automation, scalability, and job scheduling features of Databricks Data Intelligence Platform.

  ### 14. Improvement on performance and foundation for our AI journey

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Speed and performance, our daily sync jobs are running much faster compared to previous systems

**What do you dislike about Databricks?**

Support for legacy apps on on prem, needs more work to bring it to Databricks

**What problems is Databricks solving and how is that benefiting you?**

Solving the problem of long running jobs and performance, working towards bringing near realtime

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you are experiencing improved speed and performance with our platform. We understand the importance of supporting legacy apps and are continuously working to enhance compatibility with on-prem systems.

  ### 15. Perfect solution for Data Insights

**Rating:** 5.0/5.0 stars

**Reviewed by:** Neha S. | Data Analyst, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 09, 2025

**What do you like best about Databricks?**

The reliability and user interface of Databricks gives next level of experience to working on it. Their infrastructure gives multiple features and ease to integrate option where we directly connected them with our cloud system.

**What do you dislike about Databricks?**

Their pipeline and data governance tool make work more ease and effective that gives high quality insights to our operational team.

**What problems is Databricks solving and how is that benefiting you?**

Their , ML infrastructure and new updated features provides a quality of services with reliable experience. I really refer Databricks with my social and personal group.

**Official Response from Aunalisa Arellano:**

> We're delighted to hear that you are enjoying the reliability and user interface of Databricks, as well as the ease of integration with your cloud system. It's great to know that our pipeline and data governance tools are making your work more effective and providing high-quality insights to your operational team. Thank you for recommending Databricks to your friends and colleagues!

  ### 16. Very intuitive

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Construction | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

It is intuitive and has all the features needed to build

**What do you dislike about Databricks?**

Do have a Steep Learning Curve Especially for teams new to Spark, Delta Lake, or the unified lakehouse concept.

**What problems is Databricks solving and how is that benefiting you?**

I don’t need to configure a lot of things and everything is there

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform intuitive and feature-rich. We understand that there may be a learning curve for teams new to Spark, Delta Lake, or the unified lakehouse concept, and we are continuously working to improve our onboarding and training resources to make the platform more accessible.

  ### 17. Robust while nimble

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

The platform is easy to ingest data into and they always take customer feedback well.

**What do you dislike about Databricks?**

Optimization of costs has been tough in the past, but it's getting better.

**What problems is Databricks solving and how is that benefiting you?**

Aggregation of data to make better decisions and connections we hadn't seen before.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your feedback. We understand the importance of cost optimization and are committed to making it easier for our customers. We're pleased to hear that our platform helps you aggregate data for better decision-making.

  ### 18. Pretty good

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

I have only been test driving it and it has been fun for experimentation with different ideas.

**What do you dislike about Databricks?**

None yet. I’ll probably find some as I dig in more.

**What problems is Databricks solving and how is that benefiting you?**

For now just experimentation. Have to see where there is value over time

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you're enjoying experimenting with our platform! If you encounter any issues or have any feedback as you continue to explore, please don't hesitate to reach out to our support team.

  ### 19. Databricks for Data AI

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

The unity catalog and the capability to run models on open formats is incredible.

**What do you dislike about Databricks?**

Migrations to databricks can be very complex and the tools are not advanced yet.

**What problems is Databricks solving and how is that benefiting you?**

It’s allowing us to transform our data strategy into a modern Lakehouse architecture.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find the unity catalog and model running capabilities incredible. We understand that migrations can be complex, and we're continuously working to improve our tools to make the process smoother for our users.

  ### 20. Best Online data management platform for AIML

**Rating:** 5.0/5.0 stars

**Reviewed by:** Eleonore  D. | Analyst, Events Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 18, 2024

**What do you like best about Databricks?**

With datbricks we can manage our all data without any hassle and also they have number of certification courses that provide full guides and new technologies knowledges in affordable and cheap price. Their ease to use interface make them reliable and ease to implementation.

**What do you dislike about Databricks?**

With Databricks we get a support inour carrer with their AIMLlearning platform and also they have best tools and integration where we can manage all the data very easily and use them frquently on daily basis.

**What problems is Databricks solving and how is that benefiting you?**

Overall with Databricks we can workonmultiple techonolgies related Big data or data science. They have option for ETL and data warehouses and also they have MLOps Platform where we learn new technologies. Their user dashboards and interface make them more reliable and ease to use for us.

**Official Response from Janelle Glover:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform. We're glad to hear that our platform has been beneficial for managing multiple technologies related to big data and data science, as well as providing user-friendly dashboards and interfaces.

  ### 21. Best platform for data engineers !

**Rating:** 4.5/5.0 stars

**Reviewed by:** Chase L. | Data scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 15, 2024

**What do you like best about Databricks?**

It has been great platform for our company . It works on real time data collection tech and ai . Its monitoring feature works excellently for data analysis and data distribution. Its scalability can be increased with large data volumes very smoothly. Its ability to improve frequency and pipeline has really good thing.

**What do you dislike about Databricks?**

I find that it will need some learning curve at the beginning other than that its great tool.

**What problems is Databricks solving and how is that benefiting you?**

Databricks has been great tool for data processing Big data and ML . It is very helpful in complex data workflows management in team. It also supports ai based insights that are way faster and accurate than manual . It sorts our issue of collboration between teams of data.

**Official Response from Janelle Glover:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform. We're glad to hear that it has been helpful for data processing, managing complex data workflows, and providing AI-based insights for your team.

  ### 22. Great event!

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

The way it helps my team work together and solve issues without wasting time on a lot of infrastructure work

**What do you dislike about Databricks?**

Missing some visibility and a better orchestration tool

**What problems is Databricks solving and how is that benefiting you?**

Helps us work with spark easily and govern our data lake

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that our platform is helping your team work together and solve issues efficiently. Your feedback about the need for better visibility and orchestration tools is duly noted, and we'll consider it for future updates. It's great to know that our platform is enabling you to work with Spark easily and govern your data lake effectively. Thank you for sharing your experience!

  ### 23. Databricks compute user

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

We have been using Databricks compute for our observability product. It’s super efficient and helps scale seamlessly with data

**What do you dislike about Databricks?**

Starting cost is high and makes the entry cost for our solution a little bigh

**What problems is Databricks solving and how is that benefiting you?**

Helps generate quality metrics

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks Data Intelligence Platform is helping you generate quality metrics for your solution. Thanks for taking the time to share your thoughts! 

  ### 24. Amazing Data Intelligence Platform

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

It’s a super collaborative tool where all member of the data team can easily work together

**What do you dislike about Databricks?**

Learning curve is quite steep and there’s a lot going on

**What problems is Databricks solving and how is that benefiting you?**

Having a collaborative tool for building out ML workflows and scalability

**Official Response from Aunalisa Arellano:**

> Thank you for your feedback! We're thrilled that Databricks Data Intelligence Platform is helping your data team collaborate effectively. We recognize the complexity of the platform and are committed to enhancing user experience through ongoing improvements and support.

  ### 25. It has been really easy and intuitive to navigate and start developing in a databricks environment

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 11, 2025

**What do you like best about Databricks?**

It’s UX and that is user intuitive so there’s no really ª difficulty

**What do you dislike about Databricks?**

That it is only for a cloud solution and that I cannot have it on premise

**What problems is Databricks solving and how is that benefiting you?**

The difficulty in putting machine learning models in production

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks easy and intuitive to navigate! Our user-friendly interface is designed to make development seamless.

  ### 26. Databricks makes it easy to leverage their platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Ease of use and feature set to perform analytics on a large dataset.

**What do you dislike about Databricks?**

Easy to rack up a big bill. Need to put additional measures for cost checks.

**What problems is Databricks solving and how is that benefiting you?**

Making it easier to get analytical work done fast.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform easy to use and that it has a great feature set for analytics on large datasets.

  ### 27. The Tool for data analysis is Phenomenal

**Rating:** 4.0/5.0 stars

**Reviewed by:** Renata S. | Analista de Dados, Enterprise (> 1000 emp.)

**Reviewed Date:** February 21, 2025

**What do you like best about Databricks?**

It offers interactive notebooks where different users can collaborate on data projects in real time.

**What do you dislike about Databricks?**

The disadvantage is that depending on the cluster, it takes a long time to pull the database.

**What problems is Databricks solving and how is that benefiting you?**

Help to process large volumes of data, understand and optimize problems, because through analysis we can make more assertive decisions.

**Official Response from Aunalisa Arellano:**

> Thank you for highlighting the benefits of our interactive notebooks for real-time data collaboration. We apologize for any inconvenience caused by slow data retrieval and are committed to enhancing performance. It's great to hear how Databricks helps you process large volumes of data and optimize decision-making.

  ### 28. The best Data-intelligence platform

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sanjay R. | Software Tester, Enterprise (> 1000 emp.)

**Reviewed Date:** December 29, 2024

**What do you like best about Databricks?**

We used this platform last year , the data analysis of unified data , and with the use of artificial intelligence , it has very high security and it is scalable for data teams.the performanace of this platform is best feature

**What do you dislike about Databricks?**

Some time minor bugs and error shown , price is little bit expensive , but it is worth

**What problems is Databricks solving and how is that benefiting you?**

Before using this platform it is very hard to data processing and all and after using this time and manpower saved.

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that our platform has helped you save time and resources with data processing. Your feedback on the performance and security features is valuable to us. We apologize for any inconvenience caused by minor bugs and errors, and we are actively working to address these issues. We understand the consideration of pricing and aim to deliver a competitive offering in line with the value provided. Thank you for choosing the Databricks Data Intelligence Platform!

  ### 29. Great platform

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Having everything in one place makes it much easier to do your work efficiently and deliver results to business teams

**What do you dislike about Databricks?**

Data science team has said difficult to release to production

**What problems is Databricks solving and how is that benefiting you?**

Developing AI models. Faster to experiment

**Official Response from Aunalisa Arellano:**

> It's great to hear that our platform is helping you develop AI models faster and enabling quicker experimentation.

  ### 30. Best data platform tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Manufacturing | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 11, 2025

**What do you like best about Databricks?**

Unified catalog and compute. Flexible tools to tail several use cases.

**What do you dislike about Databricks?**

Learn curve is high and more tailored for data engineers and not business users.

**What problems is Databricks solving and how is that benefiting you?**

It unified the data cataloging and computing in a central platform.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your feedback. We understand that the learning curve can be a challenge, and we are constantly working to improve the platform's accessibility for all users.

  ### 31. Great insights with minimal setup

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Setup is seamless, connects into all our data sources and shows insight

**What do you dislike about Databricks?**

this is not the product but like with any new platform getting approvals

**What problems is Databricks solving and how is that benefiting you?**

Delivering insights to analysts with minimal setup and central authorization

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you found the setup seamless and the platform insightful. Thank you for taking the time to share your thoughts! 

  ### 32. One platform to do end to end data analytics on data intelligence platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Love the simplicity of the platform. Always innovative and transparent with cost. One platform with end to end data processing

**What do you dislike about Databricks?**

Nothing I can think of. Everything i like about it

**What problems is Databricks solving and how is that benefiting you?**

Used by all the analysts

**Official Response from Aunalisa Arellano:**

> Thank you for the positive feedback! We're glad to hear that you're satisfied with the end-to-end data processing capabilities of our platform.

  ### 33. Ease to use for data management

**Rating:** 5.0/5.0 stars

**Reviewed by:** Lexie  C. | Data Engineer , Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 09, 2025

**What do you like best about Databricks?**

I have very great experience with Databricks and I love to work on their platform. Their supptive nature make data visualization easy provide hassle free services.

**What do you dislike about Databricks?**

The integration of vanta provide ease implementation and also gives best ML algorithm to work on big data analytics.

**What problems is Databricks solving and how is that benefiting you?**

Overall, my experience with databricks data management system is really great and I am satisfied with their features and pricing that fullfill our all business needs and requirements.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive experience with Databricks. We're pleased to hear that you find our platform supportive and that it provides hassle-free services for data visualization.

  ### 34. Good Vision, BI needs improvement

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Data Processing is easier and all we need is in one place

**What do you dislike about Databricks?**

BI can do better so that we don’t need to take all the data to another platform and govern differently

**What problems is Databricks solving and how is that benefiting you?**

Data Digitization

**Official Response from Aunalisa Arellano:**

> We appreciate your feedback on the BI capabilities of our platform. We are constantly working to improve and enhance our BI features to provide a seamless experience for our users.

  ### 35. Very pleasant and it meets our business need

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.)

**Reviewed Date:** June 11, 2025

**What do you like best about Databricks?**

It meets our business need and very cost effective

**What do you dislike about Databricks?**

None that I can describe but it will mature with time like any other software

**What problems is Databricks solving and how is that benefiting you?**

It is going to help us to provide business insights

**Official Response from Aunalisa Arellano:**

> We're glad to hear that Databricks Data Intelligence Platform is meeting your business needs and is cost-effective for you. Thank you for sharing your positive experience!

  ### 36. The best platform for data democratization

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

One stop shop for data intelligence and AI

**What do you dislike about Databricks?**

Would like to see more threshold options for cost with server less

**What problems is Databricks solving and how is that benefiting you?**

Getting all of our data in one platform to modernize our data architecture

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform to be a one-stop shop for data intelligence and AI. We appreciate your feedback on the cost threshold options and will take this into consideration for future improvements.

  ### 37. Feature Parity for Govcloud

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Aviation & Aerospace | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

The easy of use for big data, and the potential to use AI

**What do you dislike about Databricks?**

Gov cloud does not have feature Parity with other access levels.

**What problems is Databricks solving and how is that benefiting you?**

Solving making dashboards, queries and reports on big data

**Official Response from Aunalisa Arellano:**

> We appreciate your feedback on the feature parity for GovCloud. We are constantly working to improve and expand our offerings, and your input is valuable in this process.

  ### 38. Good holistic platform starting big data all the way to latest AI

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** May 19, 2025

**What do you like best about Databricks?**

A platform that host wide varieties that can be used for for both Data Lake and Warehouse purpose

**What do you dislike about Databricks?**

Complexity in making things works, especially cluster management

**What problems is Databricks solving and how is that benefiting you?**

Started with the replacement of Hadoop & now many of Analytics practice offloaded to Databricks & Data Lake

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find our platform to be a holistic solution for big data and AI. We appreciate your feedback about the wide variety of tools available for Data Lake and Warehouse purposes.

  ### 39. Databricks data platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Unity catalog has been a game changer. The lineage is so useful

**What do you dislike about Databricks?**

Time to setup when using private ip. This requires better documentation and scripts

**What problems is Databricks solving and how is that benefiting you?**

A unified data platform for the company

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that you find Unity catalog and the lineage feature to be beneficial. We apologize for the challenges you've experienced with the setup process using private IP and will work on enhancing our documentation and scripts to address this. It's great to know that Databricks Data Intelligence Platform is serving as a unified data platform for your company.

  ### 40. Easy To Use

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Enables developers with a wide range of expertise to use the latest and best functionality

**What do you dislike about Databricks?**

Navigation could be more streamlined and

**What problems is Databricks solving and how is that benefiting you?**

Moving from on prem to a new data lake and warehouse

**Official Response from Aunalisa Arellano:**

> Thank you for your review! We're pleased to hear that Databricks Data Intelligence Platform is providing the latest and best functionality for developers. We understand your feedback on the navigation and will use it to enhance the platform for a more streamlined experience.

  ### 41. Intelligence platform honest review

**Rating:** 5.0/5.0 stars

**Reviewed by:** Aarti V. | Software Developer, Enterprise (> 1000 emp.)

**Reviewed Date:** January 08, 2025

**What do you like best about Databricks?**

Everything at one place for development. Additionally, DABS will alleviate our CICD requirements.

**What do you dislike about Databricks?**

Dashboard monitoring feature is half baked, it need too much improvement

**What problems is Databricks solving and how is that benefiting you?**

For our proprietary solution ensuring data privacy and compliance is critical as well as challengeing so there databricks platform came into picture. It has plenty of features like data governance, role based access control and compliance with standards. These features are very helpful to achieve our goal

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your feedback! We're glad to hear that you find Databricks Data Intelligence Platform helpful for development and CICD requirements. We appreciate your input on the dashboard monitoring feature and will take it into consideration for future improvements.

  ### 42. All in one database management tool with Ai !

**Rating:** 4.5/5.0 stars

**Reviewed by:** Rachel W. | Database engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 03, 2024

**What do you like best about Databricks?**

I find it very reliable and futuristic for its price . There are lots of function that is very important for our company like Data transformation tool and data analyst usage with queries makes it even more useful.I also use lakeflow which is quite easy to implement with low codes and customer support helped us with important guides to implement in initial setup.

**What do you dislike about Databricks?**

It is powerful tool although its Machiene learning and Ai capabilities can be made more smootherand better.

**What problems is Databricks solving and how is that benefiting you?**

Databricks managed all big data in our company and generates good results when our analyst team compare it with when we were not using it. I never faced downside or major clutter while working on this platform .

**Official Response from Janelle Glover:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform. We're pleased to hear that it has been reliable and useful for your company. We understand your feedback on the machine learning and AI capabilities, and we are continuously working to enhance and smoothen these features for a better user experience.

  ### 43. The Best Data Engineering Tool uses Delta Lake

**Rating:** 4.0/5.0 stars

**Reviewed by:** John S. | Software Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** January 02, 2025

**What do you like best about Databricks?**

This tool is very efficient because it using Delta lake. This supports ETL Pipelines and Machine Learning workflows which Guide to extract and transform data into Various forms. And i like the interactive notebooks supporting python language .
AutoML and Delta Lake is best features.

**What do you dislike about Databricks?**

This tool in begining there is complexity for using now it became simople.

**What problems is Databricks solving and how is that benefiting you?**

the problems solved this tool , hectic data analysis and processing many type of datas

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform efficient and supportive of ETL Pipelines and Machine Learning workflows. The interactive notebooks and AutoML features are indeed valuable. We appreciate your feedback on the initial complexity and are continuously working to improve user experience.

  ### 44. Data availability

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

It allows my team to get the data they need when they need it

**What do you dislike about Databricks?**

Can be expensive if not managed properly

**What problems is Databricks solving and how is that benefiting you?**

We create models to analyze healthcare information for our customer

**Official Response from Aunalisa Arellano:**

> We're glad to hear that Databricks Data Intelligence Platform is helping your team access the data they need in a timely manner. Thanks for taking the time to share your thoughts! 

  ### 45. Databricks

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Databricks?**

Good experience in Data Analytics Industry. Products are relevant and cutting edge

**What do you dislike about Databricks?**

Some integration issues and transparency in cost

**What problems is Databricks solving and how is that benefiting you?**

Good experience in Data Analytics Industry. Products are relevant and cutting edge

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive experience with Databricks Data Intelligence Platform! We're glad to hear that you find our products relevant and cutting edge.

  ### 46. Faculte using the platform

**Rating:** 4.5/5.0 stars

**Reviewed by:** Arthur C. | Data engineer Jr, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 09, 2025

**What do you like best about Databricks?**

The practice and how simple is to use the platform.

**What do you dislike about Databricks?**

About the platform, I didn't dislike nothing.

**What problems is Databricks solving and how is that benefiting you?**

Using the DIP my work time was optimized and the solutions came more faster.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you find Databricks Data Intelligence Platform easy to use and that it has optimized your work time. Thank you for sharing your positive experience!

  ### 47. The best Bigdata Processing Tool

**Rating:** 4.0/5.0 stars

**Reviewed by:** Jessica S. | Software Consultant, Enterprise (> 1000 emp.)

**Reviewed Date:** December 31, 2024

**What do you like best about Databricks?**

I have used this tool for past two years , the attractive feature were faster data processing and data warehousing. i can easily intergrate it with power bi so it become easy to implement it

**What do you dislike about Databricks?**

I dont like the interface of this tool , and also latency issues

**What problems is Databricks solving and how is that benefiting you?**

My main problem was  processing data from   clients and upload the processed data to cloud by using this , this task became very easy

**Official Response from Aunalisa Arellano:**

> We appreciate your review of Databricks Data Intelligence Platform. It's great to hear that you have found the tool beneficial for faster data processing and data warehousing, as well as for integrating with Power BI. We apologize for any inconvenience caused by the interface and latency issues. Your feedback is valuable to us, and we are actively working to enhance the user interface and optimize performance. Thank you for bringing these concerns to our attention.

  ### 48. Manager, Data Engineering

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 10, 2025

**What do you like best about Databricks?**

It’s tool built for engineers by engineers

**What do you dislike about Databricks?**

Could use a more polished ui for end users to consume the products built on it.

**What problems is Databricks solving and how is that benefiting you?**

Helping centralize our data, processes and governance.

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your feedback on the Databricks Data Intelligence Platform. We're glad you appreciate the platform's focus on engineers. We understand your concern about the UI and are continuously working to enhance it. Your input helps us improve. We're thrilled that the platform is helping centralize your data, processes, and governance. Please feel free to reach out if you have any specific suggestions or further feedback. We value your insights and look forward to serving you better.

  ### 49. Revolutionizing Data analytics and AI integration

**Rating:** 4.0/5.0 stars

**Reviewed by:** Arsath  H. | Software Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** December 31, 2024

**What do you like best about Databricks?**

MLflow , and coloborative notebooks are the main feature of this tool and anothere features i like about his is Data Lake Storage layer nd Auto ml model traing helps for efficient processing.

**What do you dislike about Databricks?**

I dont like the SQlanalytics feature , gives error most of time , better improving this .

**What problems is Databricks solving and how is that benefiting you?**

We using this tool for Data Warehousing and Dataprocessing in a bulk , by using this tool we can improve time efficently

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you are enjoying the MLflow, collaborative notebooks, Data Lake Storage, and AutoML model training features of our platform. We appreciate your feedback on the SQL analytics feature and will work to improve its performance.

  ### 50. Big Data processing using Databricks

**Rating:** 4.0/5.0 stars

**Reviewed by:** Akash K. | Software Consultant, Enterprise (> 1000 emp.)

**Reviewed Date:** December 31, 2024

**What do you like best about Databricks?**

the best feature in this tool is end to end machine learning life cycle ,and api for data processing. This tool also have Delta sharing and cross-functional collaboration by this big data can be processed efficiently.

**What do you dislike about Databricks?**

We cant process specific use cases in data processing and also this tool is not affordable

**What problems is Databricks solving and how is that benefiting you?**

We used this product because of data reliablility and security, this tool has high security and high speed data processing

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks has provided you with high security and high-speed data processing. We understand your feedback about specific use cases and affordability, and we'll strive to address these areas to further improve the platform.


## Databricks Discussions
  - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
  - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes
  - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments
  - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments

- [View Databricks pricing details and edition comparison](https://www.g2.com/products/databricks/reviews?page=8&qs=pros-and-cons&section=pricing&secure%5Bexpires_at%5D=2026-05-13+09%3A35%3A03+-0500&secure%5Bsession_id%5D=becb3774-740f-48f2-9fff-a3f3cf581e21&secure%5Btoken%5D=6e0ed5980922e946f012bc4b15482703c9a03af18a0dbfdcc2b6674e3eec0f2e&format=llm_user)
## Databricks Integrations
  - [Agentforce 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews)
  - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews)
  - [Alation](https://www.g2.com/products/alation/reviews)
  - [Amazon EC2](https://www.g2.com/products/amazon-ec2/reviews)
  - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
  - [Anaplan](https://www.g2.com/products/anaplan/reviews)
  - [Anomalo](https://www.g2.com/products/anomalo/reviews)
  - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
  - [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews)
  - [Atlan](https://www.g2.com/products/atlan/reviews)
  - [AWS CloudFormation](https://www.g2.com/products/aws-aws-cloudformation/reviews)
  - [AWS Glue](https://www.g2.com/products/aws-glue/reviews)
  - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews)
  - [Azure Blob Storage](https://www.g2.com/products/azure-blob-storage/reviews)
  - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews)
  - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews)
  - [Azure Data Lake Store](https://www.g2.com/products/azure-data-lake-store/reviews)
  - [Azure Functions](https://www.g2.com/products/azure-functions/reviews)
  - [Azure Logic Apps](https://www.g2.com/products/azure-logic-apps/reviews)
  - [Azure OpenAI Service](https://www.g2.com/products/azure-openai-service/reviews)
  - [Azure Pipelines](https://www.g2.com/products/azure-pipelines/reviews)
  - [Azure Portal](https://www.g2.com/products/azure-portal/reviews)
  - [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews)
  - [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews)
  - [Confluent](https://www.g2.com/products/confluent/reviews)
  - [Customer.io](https://www.g2.com/products/customer-io/reviews)
  - [Dash](https://www.g2.com/products/dash-for-brands-ltd-dash/reviews)
  - [data.world](https://www.g2.com/products/data-world/reviews)
  - [DAT iQ](https://www.g2.com/products/dat-iq/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [DigitalOcean](https://www.g2.com/products/digitalocean/reviews)
  - [Fivetran](https://www.g2.com/products/fivetran/reviews)
  - [GEN TDS](https://www.g2.com/products/gen-tds/reviews)
  - [Git](https://www.g2.com/products/git/reviews)
  - [GitHub](https://www.g2.com/products/github/reviews)
  - [Google Analytics](https://www.g2.com/products/google-analytics/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Google Cloud Console](https://www.g2.com/products/google-cloud-console/reviews)
  - [Google Cloud Run](https://www.g2.com/products/google-cloud-run/reviews)
  - [HubSpot Marketing Hub](https://www.g2.com/products/hubspot-marketing-hub/reviews)
  - [Immuta](https://www.g2.com/products/immuta/reviews)
  - [Informatica Data Quality](https://www.g2.com/products/informatica-informatica-data-quality/reviews)
  - [JD Edwards World](https://www.g2.com/products/jd-edwards-world/reviews)
  - [Microsoft Copilot Studio](https://www.g2.com/products/microsoft-microsoft-copilot-studio/reviews)
  - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews)
  - [Microsoft Power Apps](https://www.g2.com/products/microsoft-power-apps/reviews)
  - [Microsoft Power Automate](https://www.g2.com/products/microsoft-power-automate/reviews)
  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)
  - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews)
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [ObjectWay SpA](https://www.g2.com/products/objectway-spa/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [Pega Platform](https://www.g2.com/products/pega-platform/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [PowerBI Portal](https://www.g2.com/products/powerbi-portal/reviews)
  - [Qualtrics Customer Experience](https://www.g2.com/products/qualtrics-customer-experience/reviews)
  - [React Native](https://www.g2.com/products/react-native/reviews)
  - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews)
  - [SAP Ariba](https://www.g2.com/products/sap-ariba/reviews)
  - [SAP ECC](https://www.g2.com/products/sap-ecc/reviews)
  - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
  - [Seamless (formally Seamless.AI)](https://www.g2.com/products/seamless-formally-seamless-ai/reviews)
  - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews)
  - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews)
  - [Sisense](https://www.g2.com/products/sisense/reviews)
  - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Spark](https://www.g2.com/products/openclassrooms-spark/reviews)
  - [Spark](https://www.g2.com/products/apache-spark/reviews)
  - [Spark SQL](https://www.g2.com/products/spark-sql/reviews)
  - [SplashBI](https://www.g2.com/products/splashbi/reviews)
  - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)
  - [Tableau](https://www.g2.com/products/tableau/reviews)
  - [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews)
  - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews)
  - [Workday HCM](https://www.g2.com/products/workday-hcm/reviews)
  - [Zendesk Sunshine](https://www.g2.com/products/zendesk-sunshine/reviews)

## Databricks Features
**Reports**
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards

**Administration**
- Data Modelling
- Recommendations
- Workflow Management
- Dashboards and Visualizations

**Management**
- Reporting
- Auditing

**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**System**
- Data Ingestion & Wrangling

**Data Preparation**
- Connectors
- Data Governance

**Data Management**
- Data Integration
- Data Compression
- Data Quality
- Built-In Data Analytics
- In-Database Machine Learning
- Data Lake Analytics

**Management**
- Data dictionary
- Data Replication
- Query Language
- Data Modeling
- Performance Analysis

**Management**
- Business Glossary
- Data Discovery
- Data Profililng
- Reporting and Visualization
- Data Lineage

**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**Data Management**
- Data Integration
- Metadata
- Self-service
- Automated workflows

**Scalability and Performance - Generative AI Infrastructure**
- AI High Availability
- AI Model Training Scalability
- AI Inference Speed

**Customization - AI Agent Builders**
- Natural Language Configuration
- Tone Customization
- Security Guardrails

**Agentic AI - DataOps Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

**Traffic Management & Performance - AI Gateways**
- Token-Aware Rate Limiting
- Semantic Caching
- Multi-Model Routing & Fallbacks

**Model Development**
- Language Support
- Drag and Drop
- Pre-Built Algorithms
- Model Training

**Database**
- Real-Time Data Collection
- Data Distribution
- Data Lake

**Data Transformation**
- Real-Time Analytics
- Data Querying

**Compliance**
- Sensitive Data Compliance
- Training and Guidelines
- Policy Enforcement
- Compliance Monitoring

**Functionality**
- Extraction
- Transformation
- Loading
- Automation
- Scalability

**Management**
- Cataloging
- Monitoring
- Governing
- Model Registry

**Model Development**
- Feature Engineering

**Data Modeling and Blending**
- Data Querying
- Data Filtering
- Data Blending

**Integration**
- AI/ ML Integration
- BI Tool Integration
- Data lake Integration

**Maintenance**
- Data Migration
- Backup and Recovery
- Multi-User Environment

**Security**
- Access Control
- Roles Management
- Compliance Management

**Operations**
- Metrics
- Infrastructure management
- Collaboration

**Analytics**
- Analytics capabilities
- Dasboard visualizations

**Cost and Efficiency - Generative AI Infrastructure**
- AI Cost per API Call
- AI Resource Allocation Flexibility
- AI Energy Efficiency

**Functionality - AI Agent Builders**
- Omni-channel Support
- Agent Branding
- Proactive Response Capabilities
- Seamless Human Escalation

**Governance & Observability - AI Gateways**
- Data Privacy
- Cost Tracking
- Centralized API Key Security

**Machine/Deep Learning Services**
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks

**Integrations**
- Hadoop Integration
- Spark Integration

**Data Quality**
- Data Preparation
- Data Distribution
- Data Unification

**Machine/Deep Learning Services**
- Natural Language Understanding
- Deep Learning

**Deployment**
- On-Premise
- Cloud

**Security**
- Data Encryption
- User Access Control

**Maintainence**
- Data Quality Management
- Policy Management

**Management**
- Cataloging
- Monitoring
- Governing

**Monitoring and Management**
- Data Observability
- Testing capabilities

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Integration and Extensibility - Generative AI Infrastructure**
- AI Multi-cloud Support
- AI Data Pipeline Integration
- AI API Support and Flexibility

**Data and Analytics - AI Agent Builders**
- Analytics & Reporting
- Contextual Awareness
- Data Privacy Compliance

**Deployment**
- Managed Service
- Application
- Scalability

**Platform**
- Machine Scaling
- Data Preparation
- Spark Integration

**Connectivity**
- Hadoop Integration
- Spark Integration
- Multi-Source Analysis
- Data Lake

**Performance **
- Scalability

**Cloud Deployment**
- Hybrid cloud support
- Cloud migration capabilities

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Security and Compliance - Generative AI Infrastructure**
- AI GDPR and Regulatory Compliance
- AI Role-based Access Control
- AI Data Encryption

**Integration - AI Agent Builders**
- Workflow Automation
- API Usage
- Platform Interoperability
- CRM Data Integration

**Agentic AI - Analytics Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Self Service **
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling

**Processing**
- Cloud Processing
- Workload Processing

**Operations**
- Data Visualization
- Data Workflow
- Governed Discovery
- Embedded Analytics
- Notebooks

**Security**
- Data Governance
- Data Security

**Generative AI**
- AI Text Generation
- AI Text Summarization
- AI Text-to-Image

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Usability and Support - Generative AI Infrastructure**
- AI Documentation Quality
- AI Community Activity

**Agentic AI - Data Governance**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Decision Making

**Deployment & Integration - Analytics Platforms**
- No-code Dashboard Builder
- Report Scheduling and Automation
- Embedded Analytics and White-labeling
- Data Source Connectivity

**Advanced Analytics**
- Predictive Analytics
- Data Visualization
- Big Data Services

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Data Science and Machine Learning Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Performance & Scalability - Analytics Platforms**
- Large data handling and Query Speed
- Concurrent User Support

**Advanced Analytics & Modeling - Analytics Platforms**
- Data Modeling and Governance
- Notebook and Script Integration
- Built-in Predictive and Statistical Models

**Agentic AI Capabilities - Analytics Platforms**
- Auto-generated Insights and Narratives
- Natural Language Queries
- Proactive KPI Monitoring and Alerts
- AI Agents for Analytical Follow-ups

**Personalized Intelligence - Analytics Platforms**
- Behavioral Learning for Contextual Query Refinement
- Role-based Insight Personalization
- Conversational and Prompt-based Analytics

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

## Top Databricks Alternatives
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