---
title: Databricks Reviews
meta_title: 'Databricks Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 1335 reviews by the users' company size, role or industry
  to find out how Databricks works for a business like yours.
aggregate_rating:
  rating_value: 4.6
  review_count: 1335
  scale: '5'
date_modified: '2026-07-06'
parent_category:
  name: Big Data
  url: https://www.g2.com/categories/big-data
---

# 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:** 1,335
## 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 highlight the **seamless integration** of Databricks with AWS, enhancing their data management and processing capabilities. (288 reviews)
- Users love the **ease of use** of Databricks, seamlessly integrating with various services for efficient data management. (278 reviews)
- Users appreciate the **seamless integration with AWS and Azure** , enhancing collaboration and efficiency in data management. (189 reviews)
- Users value the **excellent collaboration** features of Databricks, enhancing teamwork and real-time project alignment. (150 reviews)
- Users value the **effective data management features** of Databricks, simplifying their workflows and enhancing decision-making. (150 reviews)
- Users appreciate the **easy integrations** of Databricks, seamlessly connecting with cloud infrastructure and enhancing data management. (148 reviews)
- Users value the **extensive analytical features** of Databricks, facilitating efficient operations and comprehensive data insights. (139 reviews)
- Machine Learning (136 reviews)
- ML Integration (135 reviews)
- Scalability (134 reviews)

**What users dislike:**

- Users find the **steep learning curve** of Databricks challenging, impacting onboarding and widespread organizational use. (112 reviews)
- Users find the **costs for Databricks quite high** , especially when working with large datasets, impacting overall satisfaction. (97 reviews)
- Users face a **steep learning curve** with Databricks, making initial adoption and resource management challenging. (96 reviews)
- Users express frustration over **missing features** in Databricks, limiting its effectiveness for complex deployments and custom setups. (69 reviews)
- Users often face **complexity due to a steep learning curve** and challenges with integration and documentation in Databricks. (64 reviews)
- Users face **unintuitive UI issues** that lead to random errors and complicate the experience for non-technical users. (61 reviews)
- Performance Issues (57 reviews)
- Poor UI Design (53 reviews)
- Difficult Learning (51 reviews)
- Users experience a **complex setup** process initially, but support helps to simplify the experience over time. (45 reviews)

## Databricks Reviews
  ### 1. Flexible Notebooks with Python and SQL

**Rating:** 4.0/5.0 stars

**Reviewed by:** Nargil N. | Sr Software Developer, Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

The ability to use Python and SQL in a notebook makes it very flexible.

**What do you dislike about Databricks?**

Business users may still feel some hesitation about using it directly.

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

Migrating traditional data assets to the cloud and creating a model mart.

**Official Response from Jess Darnell:**

> We're glad to hear that you find the flexibility of using Python and SQL in a notebook valuable!

  ### 2. Powerful Insights with Easy SAP and Salesforce Connectivity

**Rating:** 4.5/5.0 stars

**Reviewed by:** Paul H. | Sales Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Easy to connect with SAP and Salesforce, and extremely powerful for creating insights.

**What do you dislike about Databricks?**

We need to find an easy, straightforward way to create profiles in a large implementation.

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

Integrate data from multiple data sources and create insights.

**Official Response from Aunalisa Arellano:**

> It's great to hear that Databricks is helping you integrate data from multiple sources and create valuable insights. We're committed to continuously improving our platform to better serve your needs. Thanks so much for taking the time to leave a review!

  ### 3. Databricks Supercharged Our ETL Pipelines and Analytics Delivery

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** June 16, 2026

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

Databricks has enabled our organization to fast track the development of ETL pipelines and analytics outputs immensely.

**What do you dislike about Databricks?**

Some of the terminology is starting to get a little confusing, everything having the word lake in it. It gets hard to keep track of.

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

Our company struggles with lots of different legacy sources on different database architectures. Databricks lets us abstract that layer to access and work with that data and in much more seemless way.

**Official Response from Jess Darnell:**

> We're glad to hear that Databricks has helped fast track the development of your ETL pipelines and analytics outputs. We understand that terminology can be confusing, and we're constantly working to improve the user experience and clarity of our platform.

  ### 4. Databricks’ Easy-to-Use Unified Interface Streamlines Data and Workflows

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** June 16, 2026

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

Databricks provides a great, easy to use, unified interface in order to consolidate data storage comp compute application development, and orchestration workflows.

**What do you dislike about Databricks?**

Occasionally, they will release features a little earlier in the life cycle or acceptance testing then some other software companies might, but it does give you great exposure to new features early and often

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

Databricks is helping us solve data modernization and allow allowing us to produce cutting edge AI enabled applications

**Official Response from Janelle Glover:**

> We're glad to hear that you find our unified interface easy to use and beneficial for consolidating data and workflows.

  ### 5. Easy to Use and Understand—Everything You Need Ready to Go

**Rating:** 5.0/5.0 stars

**Reviewed by:** Rafael L. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Easy to do and understand things inside the tool, everything ready

**What do you dislike about Databricks?**

Sales force lake flow connect is the worst, let’s refactor that

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

Automatize all finance process and calculations of end of the month in one place

**Official Response from Jess Darnell:**

> We're thrilled to hear that you find Databricks easy to use and understand. We'll definitely take your feedback about the Salesforce lakeflow connect into consideration. It's fantastic to hear that Databricks is helping to automate your finance processes and end-of-month calculations.

  ### 6. Simple, Holistic Solution with a Great Ecosystem

**Rating:** 5.0/5.0 stars

**Reviewed by:** Danylo B. | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 16, 2026

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

Simple and easy to use, very holistic solution with a great ecosystem

**What do you dislike about Databricks?**

A little too technical, hard to use as a nontechnical business executive

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

Data unification- kills data silos and makes my life 10x easier .

**Official Response from Jess Darnell:**

> We're thrilled to hear that Databricks is helping to unify your data and simplify your work. We're committed to providing solutions that make your life easier and more efficient.

  ### 7. Easy Onboarding for Quick Enterprise Data Exploration and Prototyping

**Rating:** 4.0/5.0 stars

**Reviewed by:** Kiran R. | Business Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

Easy to onboard and use to quickly explore enterprise data. Great to build tools and prototype apps

**What do you dislike about Databricks?**

Some of the data controls are difficult to navigate and request access for

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

Consolidated data repository and ai integrations

**Official Response from Janelle Glover:**

> We're glad to hear that you find Databricks beneficial for exploring enterprise data and prototyping apps. Our goal is to provide a user-friendly experience for our customers.

  ### 8. Seamless Integration with Data Partners

**Rating:** 5.0/5.0 stars

**Reviewed by:** Mary Cait D. | VP of Implementation Engineering, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Seamless integration with data providers and partners

**What do you dislike about Databricks?**

I don’t have any complaints; I just feel there needs to be more internal interest.

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

It helps us share data and interact with our data in an agentic way.

**Official Response from Janelle Glover:**

> We're glad to hear that Databricks is helping you share and interact with your data. Thanks for your feedback!

  ### 9. A One-Stop Platform with Seamless Multi-Source Integration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sowmya R. | Graduate Trainee, Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

The way to integrate with multiple sources and ability to be a one stop platform.

**What do you dislike about Databricks?**

Lake base needs to be well developed and access to catalogs need to be managed within databricks

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

Manufacturing real time analysis

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you appreciate Databricks' seamless multi-source integration and its one-stop platform capabilities. Thank you for your feedback on Lakebase. We will pass this along to the product team. 

  ### 10. Impressed by the Team’s Rapid Innovation

**Rating:** 4.5/5.0 stars

**Reviewed by:** Tanmay R. | Core Committee Member, Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

The speed at which the team innovates and the quick response to feedback

**What do you dislike about Databricks?**

The cost tracking is available but it’s not easily accessible.

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

Bringing the data under one roof. Destroys the silos that were present earlier.

**Official Response from Jess Darnell:**

> We're glad to hear that you are impressed by our team's rapid innovation and quick response to feedback. We are constantly working to improve and appreciate your positive feedback.

  ### 11. Powerful Yet Incredibly Easy to Use

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nick E. | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 16, 2026

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

Ease of use, how powerful it is. It’s also extremely easy to set up

**What do you dislike about Databricks?**

Truthfully there is nothing that I dislike

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

Non-traditional ETL pipelines using LLM processing. It allows us to do insightful curation of data

**Official Response from Aunalisa Arellano:**

> Creating a powerful yet incredibly easy to use platfrom is exactly our goal. We are thrilled to hear we are meeting your expectations! Thank you so much for taking the time to leave a review! 

  ### 12. Straightforward Collaboration in Shared Notebooks and Workflows

**Rating:** 4.5/5.0 stars

**Reviewed by:** Syam K. | Program Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 22, 2026

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

Collaboration is straightforward: data engineers, analysts, and data scientists can work together in shared notebooks and workflows.

**What do you dislike about Databricks?**

Debugging can be challenging—troubleshooting distributed jobs is often more complex than working with traditional SQL systems.

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

Integration with cloud services like S3, Kafka, Glue, and Redshift is easier and more straightforward.

**Official Response from Jess Darnell:**

> It's fantastic to hear that Databricks' integration with cloud services like S3, Kafka, Glue, and Redshift is making your work easier and more straightforward. We're committed to providing seamless integration with various cloud platforms to benefit our users.

  ### 13. Streamlined Workflow with Databricks

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** June 16, 2026

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

I like how Databricks streamlines my workflow and helps me automate manual processes. It lets me get my work done on shorter timelines and move onto new projects for more value. The onboarding was relatively straightforward, making it easy to get started.

**What do you dislike about Databricks?**

Integration across external platforms

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

I use Databricks to organize and analyze data for insights. It streamlines my workflow and automates processes, helping me meet deadlines and move onto new projects faster.

**Official Response from Jess Darnell:**

> We're glad to hear that Databricks has streamlined your workflow and helped you automate manual processes. Our goal is to make it easier for our users to get their work done efficiently.

  ### 14. Fast, Reliable Lakehouse That Unifies Data Processing and SQL

**Rating:** 5.0/5.0 stars

**Reviewed by:** 4 Dhiraj B. | Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 25, 2026

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

Data processing and SQL queries are fast and reliable, and the lakehouse platform really helps unify our work.

**What do you dislike about Databricks?**

There’s a steep learning curve that demands advanced coding skills and solid Spark expertise, which can make it feel like overkill for teams that only need straightforward SQL reporting.

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

We’ve improved our data team’s productivity by removing the need for manual infrastructure management.

**Official Response from Jess Darnell:**

> It's great to hear that Databricks has improved your data team's productivity by removing the need for manual infrastructure management. We're committed to helping our customers streamline their processes.

  ### 15. True End-to-End Data + AI Platform for Enterprise Use Cases

**Rating:** 4.5/5.0 stars

**Reviewed by:** Aurobinda L. | Cloud &amp; AI Solutions Architect, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

True data + ai platform where i can have an end to end flow for an enterprise use case

**What do you dislike about Databricks?**

Limited custom domain capabilities when deploying apps and genie spaces

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

Centralizing data warehouse in the cloud

**Official Response from Jess Darnell:**

> We're glad to hear that you find Databricks to be a true end-to-end data + AI platform for enterprise use cases. We appreciate your feedback about the limited custom domain capabilities when deploying apps and genie spaces. We'll take this into consideration for future improvements.

  ### 16. Fast Spark Platform for Real-Time Data Processing

**Rating:** 4.0/5.0 stars

**Reviewed by:** Gabriel A. | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 16, 2026

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

It is a platform that runs Spark very fast for processing real-time data.

**What do you dislike about Databricks?**

The cost and the learning curve are important factors to consider when it’s implemented.

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

Users can write to the agent using ZeroSQL.

**Official Response from Jess Darnell:**

> We're glad to hear that you find Databricks to be fast for processing real-time data with Spark. We understand that cost and learning curve are important considerations, and we're constantly working to improve the user experience and make the platform more accessible.

  ### 17. A Powerful Hub for Connecting All Your Data

**Rating:** 5.0/5.0 stars

**Reviewed by:** Fernando B. | Risk Analyst | MS Excel - MS Access - VBA - SQL, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 16, 2026

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

I like how powerful it is for connecting everything related to data.

**What do you dislike about Databricks?**

Sometimes the new features lack documentation, which makes them harder to understand and use.

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

It scales data analysis for large datasets in seconds.

**Official Response from Jess Darnell:**

> It's great to hear that Databricks is helping you scale data analysis for large datasets in seconds. We're committed to providing solutions that benefit our users.

  ### 18. Databricks is good

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kyle B. | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 16, 2026

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

It’s very good and I really like it and I use it all the time

**What do you dislike about Databricks?**

Nothing it’s very good and I use it all the time

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

It is helping me get more real time data

**Official Response from Janelle Glover:**

> We're glad to hear that you are enjoying using Databricks and finding it helpful for real-time data processing!

  ### 19. Easy Data Flow from On-Prem to Databricks Tables

**Rating:** 4.5/5.0 stars

**Reviewed by:** Cassidy K. | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 16, 2026

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

How easy i can get data from on premium to and and then into databricks tables

**What do you dislike about Databricks?**

Are to manage user access without other getting in the way of my stuff

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

Getting silo data to users

**Official Response from Janelle Glover:**

> We're glad to hear that you find it easy to transfer data from on-premises to Databricks tables. This is one of the key benefits of using Databricks for data processing and analysis.

  ### 20. Vice President

**Rating:** 5.0/5.0 stars

**Reviewed by:** Aaron H. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Easy to use straight forward.  As I am learning it's capabilities it ia easy to understa

**What do you dislike about Databricks?**

I am still new.  Lots to learn and master.  My newness is the concern

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

No problems to this point

**Official Response from Jess Darnell:**

> It's great to hear that Databricks is solving your data-related problems, and we're committed to helping you maximize its benefits as you continue to use it.

  ### 21. Exciting Performance That Holds Up to Regular Use

**Rating:** 4.5/5.0 stars

**Reviewed by:** Phillipe R. | Assistant Analyst (Co-Op), Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

I’m super excited about its performance and how well it holds up with regular use.

**What do you dislike about Databricks?**

Hard to teach non technical users how to use it

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

Solving or access and governance needs, along with infrastructure management

**Official Response from Jess Darnell:**

> We're thrilled to hear that you're impressed with Databricks' performance and reliability. We understand that teaching non-technical users can be a challenge and we're continuously working on improving the user experience for all skill levels.

  ### 22. Effortless Connections That Just Work

**Rating:** 5.0/5.0 stars

**Reviewed by:** Daniel K. | Intern (MIS), Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

The easy way that things connect. It helps a lot in daily work

**What do you dislike about Databricks?**

The integration throughout the entire process is really helpful—you can almost do everything in one place.

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

Im implementing an entite data ecosystem.

**Official Response from Janelle Glover:**

> Thank you for sharing your positive experience with Databricks’ seamless integrations!

  ### 23. Great Product with Great Features

**Rating:** 4.5/5.0 stars

**Reviewed by:** Dineshwar E. | Solution Design Architect/ Software Engineering Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** June 17, 2026

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

great product and great features on genie code and app builder

**What do you dislike about Databricks?**

none right now! we have been using for 1 year now

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

we are from health care and we have lot of use cases

**Official Response from Aunalisa Arellano:**

> We're thrilled to hear that you are enjoying Databricks and its features, especially the Genie Code and app builder! Thank you for taking the time to share your thoughts! It means so much to us. 

  ### 24. Unity Catalog and Asset Bundle (DAB) Deliver Strong Value

**Rating:** 5.0/5.0 stars

**Reviewed by:** Vijay V. | Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 01, 2026

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

Unity catalog and asset bundle (DAB), DLT

**What do you dislike about Databricks?**

Some restriction with unity catalog, like the controls, external location vs volume

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

Creation a good governance data layer for consumption

**Official Response from Jess Darnell:**

> We're glad to hear that you find value in our Unity catalog and asset bundle (DAB) feature. We appreciate your feedback about the restrictions with unity catalog, and we'll take it into consideration for future improvements.

  ### 25. Genie: A True One-Stop Shop, All in One Place

**Rating:** 4.5/5.0 stars

**Reviewed by:** Rhys F. | Intern, Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

Genie, all in one place, one stop shop software

**What do you dislike about Databricks?**

Its a lot, UX and indicators could be more straightforward

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

How can I get an environment for engineers to play with data without screwing production?

**Official Response from Janelle Glover:**

> Thank you for sharing your thoughts on Databricks and Genie. We understand the importance of having a user-friendly interface and clear indicators, and we're constantly working to enhance the platform for a better user experience.

  ### 26. Senior Financial Analyst

**Rating:** 5.0/5.0 stars

**Reviewed by:** Erica F. | Senior Financial Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

The genie helps Fox my queries and notebooks. It’s reliable and fast.

**What do you dislike about Databricks?**

Sometimes navigating for new users is tricky. Finding saved notebooks was difficult originally.

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

Huge data sets and aggregations all one one place.

**Official Response from Janelle Glover:**

> We're glad to hear that you find Databricks reliable and fast, and that Genie has been helpful!

  ### 27. Agile Platform That Keeps Us Moving Fast

**Rating:** 4.5/5.0 stars

**Reviewed by:** ATUL P. | Client Partner - Large Telecom Account , Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

UC is having agile platform n value realisation

**What do you dislike about Databricks?**

Accelerators- third party accelerators sometime don’t bring

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

combining data engineering, data warehousing, AI/ML, and GenAI on a single platform rather than treating them as separate systems.

**Official Response from Jess Darnell:**

> We're glad to hear that you are enjoying the agile platform and value realization with Databricks! Thank you for your feedback on the third-party accelerators. We are constantly working to improve our offerings and will take your comments into consideration.

  ### 28. Declarative Pipelines Made Easy

**Rating:** 4.5/5.0 stars

**Reviewed by:** vamsi k. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

Declarative pipelines which made it easy to extend

**What do you dislike about Databricks?**

Managing permissions for tables is not seemless and can be improved

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

Data processing from different sources scheduled simultaneously in a job and loaded to fact tables

**Official Response from Jess Darnell:**

> Thank you for sharing what you like best about Databricks! We're glad to hear that the declarative pipelines have made it easy for you to extend. We understand your concerns about managing permissions for tables and will take this feedback into consideration for future improvements.

  ### 29. Fully Integrated Tech Stack with Innovative Solutions

**Rating:** 5.0/5.0 stars

**Reviewed by:** Khang N. | Senior Reporting Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Fully integrated tech stack and innovative technology solutions

**What do you dislike about Databricks?**

How to keep costs down when scaling at the enterprise level

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

Data democratisation and allowing users to get quick access to data. Genie has been amazing

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your positive feedback about Databricks! We're thrilled to hear that you appreciate our fully integrated tech stack and innovative solutions. 

Regarding your concern about keeping costs down when scaling at the enterprise level, we understand the importance of cost efficiency. Our team is continuously working on optimizing our pricing structure to provide the best value for our customers. 

We're glad to hear that Databricks is helping solve data democratization challenges and providing quick access to data. We appreciate your support and are here to assist with any further questions or assistance you may need. Feel free to reach out to us for more information or support. Thank you for choosing Databricks!

  ### 30. Powerful Data & AI Collaboration Infrastructure

**Rating:** 5.0/5.0 stars

**Reviewed by:** Pushya V. | Summer Intern, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 16, 2026

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

The entire infrastructure of collaboration of data and ai

**What do you dislike about Databricks?**

The lack of visualizations when the dashboards are built , need more visuals

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

The integration of data storage and visualization and answering based on insights

**Official Response from Jess Darnell:**

> We're glad to hear that you appreciate our collaboration infrastructure for data and AI. We understand the importance of visualizations and are continuously working to enhance our dashboard capabilities to provide more visuals for better insights.

  ### 31. Powerful, Easy-to-Use Databricks—Genie Code Supercharges Analysis

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** June 17, 2026

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

As a data analyst, I love using Databricks. It's powerful, easy to use, and helps me work efficiently with large datasets. Genie Code is my favorite feature—it saves time and makes analysis much faster. Highly recommended!

**What do you dislike about Databricks?**

I do find the UI a little cluttered. I prefer to use a notebook and tend have too many cells. I also struggle with catalog navigation, I would like to search within a schema.

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

Analytics

**Official Response from Aunalisa Arellano:**

> Thank you for recommending Databricks and for sharing your favorite feature, Genie Code (it is such a great tool!) We understand your concerns about the cluttered UI and catalog navigation, and we'll share this with our product team so they can take it into consideration for future updates. 

  ### 32. Great Platform, But the Experience Needs Improvement

**Rating:** 2.5/5.0 stars

**Reviewed by:** Kenza S. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 18, 2026

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

The platform and the customer service as well as how easy it is to use

**What do you dislike about Databricks?**

The migration to Databrcikd can be hard.. and that's something that should be smoother

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

Data science, data management

**Official Response from Janelle Glover:**

> We're glad to hear that you appreciate our platform and customer service. We understand that migration can be challenging, and we are continuously working to improve the process to provide a smoother experience for our users.

  ### 33. Great platform for big data and ML, with some learning curve

**Rating:** 4.5/5.0 stars

**Reviewed by:** Amit K. | Build Connx, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 08, 2025

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

What I really like about Databricks is how it brings everything—data engineering, analytics, and machine learning—into one place. It saves a lot of time when switching between workflows. The collaborative notebooks are super handy when working with a team, and the Spark integration just works without much hassle. Delta Lake is also a plus—being able to manage large datasets with versioning and ACID support is honestly a lifesaver in production scenarios.

**What do you dislike about Databricks?**

The platform can feel a bit intimidating at first, especially if you're new to big data tools. Setting up clusters and understanding the pricing model took me a while. Also, the UI sometimes lags when you're dealing with large notebooks or switching between multiple tabs. I wish the onboarding was a bit more beginner-friendly

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

Databricks helps us streamline our entire data pipeline — from ingestion to analytics to machine learning. Earlier, managing large-scale datasets and running ML models used to be fragmented across tools, but Databricks made it way smoother. It saves us a lot of dev time and reduces the friction between data engineering and data science teams. Having everything in one place also makes debugging and scaling much easier.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you're enjoying the comprehensive features of Databricks, including the seamless integration of data engineering, analytics, and machine learning. The collaborative notebooks and Delta Lake capabilities are designed to enhance productivity and efficiency.

  ### 34. Impressive, Ever-Improving Features That Deliver Real Value

**Rating:** 4.0/5.0 stars

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

**Reviewed Date:** June 16, 2026

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

Features, the capability to bring your impressive, constantly iterating and improving market share, and how they approach it is all really useful

**What do you dislike about Databricks?**

Sometimes there's too much, so there are a number of ways of doing things that are quite confusing. You try to figure out the best way or the cheapest way of doing it

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

DH Bricks is kind of key to our strategy and sits under a number of initiatives

**Official Response from Janelle Glover:**

> We're glad to hear that you find our features impressive and valuable. We're constantly working on improving our platform to provide the best experience for our users.

  ### 35. Super Easy Setup and Data Source Integration for Quick ROI

**Rating:** 5.0/5.0 stars

**Reviewed by:** Arturo S. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 11, 2026

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

Setting up and integration into data sources was super easy… allowed for quick ROI

**What do you dislike about Databricks?**

So far my interactions with the Databricks platform have been positive

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

Connecting various data sources into a single platform to then consume

**Official Response from Jess Darnell:**

> It's great to hear that Databricks is helping you connect various data sources into a single platform for consumption, providing a valuable benefit for your organization.

  ### 36. Love the Unified Platform

**Rating:** 4.0/5.0 stars

**Reviewed by:** Jay M. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Unified platform to build dashboard and understand the underlying data.

**What do you dislike about Databricks?**

Nothing yet, have liked everything so far.

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

A  single warehouse to store data and also a single platform to utilize the stored data

**Official Response from Jess Darnell:**

> It's great to hear that Databricks is solving the challenge of having a single warehouse for data storage and providing a unified platform for utilizing the stored data. We appreciate your support and look forward to continuing to meet your needs.

  ### 37. Centralized Data That Simplifies Everything

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nadja P. | Business Intelligence Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Data is centralized, and genie is very helpful

**What do you dislike about Databricks?**

Compute costs are very high. And the in line chat code assistente isn’t good

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

Helps debug the code, and I use the interface for building

**Official Response from Jess Darnell:**

> It's great to hear that Databricks is simplifying your data management and code debugging processes. We're committed to providing a seamless experience for our users.

  ### 38. A Simple and Accessible Pillar for Data Engineering

**Rating:** 5.0/5.0 stars

**Reviewed by:** Fabien C. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

I appreciate that Databricks is simple and offers ease of access. The initial setup was very easy.

**What do you dislike about Databricks?**

Nothing

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

Databricks solves complex problems. I appreciate its simplicity and ease of access.

**Official Response from Aunalisa Arellano:**

> We're glad to hear that you found Databricks simple and easy to access! Our goal is to provide a user-friendly platform for data engineering tasks. Thank you so much for taking the time to leave a review! 

  ### 39. Powerful Computing with Seamless Connectivity

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sajal M. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

I really like the computing power and how seamless it is to connect.

**What do you dislike about Databricks?**

It’s expensive, and the cluster management is a mess.

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

I use it for large-scale compute, especially when running Spark jobs.

**Official Response from Aunalisa Arellano:**

> We're thrilled that you find Databricks powerful and easy to connect with. We acknowledge your feedback about the cost and cluster management challenges, and we're actively working on enhancing these aspects for a better user experience.

  ### 40. Winning the AI Race

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jerry C. | Software Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

Databricks Winning the artificial intelligence race with array of products powered with scalability and governance

**What do you dislike about Databricks?**

Some times product are half baked provided by databricks

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

End to end data integration and data serving .

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your feedback with us! We're thrilled to hear that you appreciate Databricks’ array of products for AI and data integration. Your feedback helps us in our mission to deliver high-quality, scalable, and governance-driven products. If there are specific areas you'd like us to address or if you have any further feedback, please feel free to reach out. We're here to ensure your experience with Databricks is exceptional. Thank you for choosing Databricks for your data integration and serving needs!

  ### 41. Great UI and a Straightforward, Linear Learning Curve.

**Rating:** 4.0/5.0 stars

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

**Reviewed Date:** April 22, 2026

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

The UI is great compared to other providers. It’s easy to work with, and the learning curve feels linear and straightforward.

**What do you dislike about Databricks?**

Consumption-based costs are on the higher side, and it can be difficult for users who aren’t proficient in Python or Spark.

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

A centralised data warehouse, with notebooks running on top of it for further analysis and ML use cases.

**Official Response from Jess Darnell:**

> We're glad to hear that you find our UI great and the learning curve straightforward. We strive to make it easy for our users to work with Databricks.

  ### 42. Versatile, Available, and Well-Supported

**Rating:** 5.0/5.0 stars

**Reviewed by:** faiz s. | Intern, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 17, 2026

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

It’s variety in use and availability and support

**What do you dislike about Databricks?**

Limited ability in terms of usage and application in the community edition

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

It helps solve issues around data usage and supports clearer data definition.

**Official Response from Janelle Glover:**

> It's great to hear that Databricks is helping you solve data usage issues and support clearer data definition. We're committed to providing solutions that benefit our users.

  ### 43. Databricks: One Platform for Everything We Need

**Rating:** 5.0/5.0 stars

**Reviewed by:** José Victor M. | IT Systems Technician, Enterprise (> 1000 emp.)

**Reviewed Date:** June 17, 2026

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

I really really like the one platform for all the capabilities that we need!

**What do you dislike about Databricks?**

I do not dislike anything right now in databricks!

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

Data democratization, time to market of our data deliverables

**Official Response from Janelle Glover:**

> It's great to hear that Databricks is helping with data democratization and improving the time to market of your data deliverables. We appreciate your feedback!

  ### 44. Transforms Data Management with Exceptional Support

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** June 16, 2026

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

I appreciate how Databricks helps with data governance, query engine, storage, and AI. I like that Genie helps us democratize data to business users for faster insights generation. The initial setup was easier with the help from the Databricks folks.

**What do you dislike about Databricks?**

Costs can shoot up if we are not careful

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

Databricks helps with data governance, query engine, storage, and AI. Genie feature democratizes data to business users for quicker insights generation.

**Official Response from Janelle Glover:**

> Thank you for sharing your positive experience with Databricks. We're pleased that you find our platform helpful for managing data and using Genie to generate faster insights. We understand the importance of cost management and are committed to providing value for our customers.

  ### 45. Automation and Speed with Intuitive Interface

**Rating:** 4.5/5.0 stars

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

**Reviewed Date:** June 16, 2026

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

I like the simplicity and interface of Databricks, as well as the Unity Catalog, as they help in data governance and in building workflows. Additionally, I appreciate the platform's response speed and that the initial setup was straightforward.

**What do you dislike about Databricks?**

Dashboards are not a very visual interface.

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

I use Databricks to automate processes, improving response speed and facilitating data governance and flow construction.

**Official Response from Janelle Glover:**

> We're happy to hear that you find Databricks' interface and Unity Catalog beneficial for data governance and workflow building. We understand the importance of response speed and are glad that the initial setup was straightforward for you. Thank you for sharing your feedback on the dashboard interface, and we will take it into account as we continue to improve our platform.

  ### 46. Efficient Unified Platform for Scalable Data Processing

**Rating:** 4.5/5.0 stars

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

**Reviewed Date:** April 12, 2026

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

I like how Databricks simplifies big data processing with a unified platform for data engineering, analytics, and machine learning. Its seamless integration with Spark and scalability makes handling large datasets much more efficient.

**What do you dislike about Databricks?**

The cost can become quite high with heavy usage, especially if clusters aren’t optimized. Also, debugging and monitoring jobs can sometimes feel less intuitive compared to traditional tools.

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

Databricks solves the challenge of processing and managing large-scale data efficiently by providing a unified platform for ETL, analytics, and machine learning. It benefits me by simplifying pipeline development, improving performance with Spark, and reducing the need to manage multiple tools.

**Official Response from Jess Darnell:**

> We're glad to hear that you find Databricks efficient and scalable for big data processing. Our seamless integration with Spark is designed to simplify data engineering and analytics. We understand your concerns about the cost and usability and we continuously work on optimizing clusters and improving the user experience to provide better value for our customers.

  ### 47. Databricks works with almost everything

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jorge F. | Senior Agile Product Owner, Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

Integration with multiple sources in a seamless manner.

**What do you dislike about Databricks?**

I have no complaints yet about the product

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

Reliable, democratized access to data, supported by the right level of security and the necessary guardrails.

**Official Response from Jess Darnell:**

> We're glad to hear that you appreciate Databricks' seamless integration with multiple sources. It's great to know that you haven't encountered any complaints with our product so far.

  ### 48. Databricks Apps Make It Easy to Build Customer-Facing UIs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Suran B. | Data engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Databricks app which is now something I can build UI on for my customers.

**What do you dislike about Databricks?**

Genie AI assistant for debugging code a.

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

It solve traditional warehouse architecture and help build unifies lakehouse solution.

**Official Response from Janelle Glover:**

> It's great to hear that Databricks is helping you solve traditional warehouse architecture and build a unified Lakehouse solution. 

  ### 49. Open Frameworks and Standards at the Center of Everything

**Rating:** 5.0/5.0 stars

**Reviewed by:** Robert T. | Member Of Technical Staff Solutions Architecture, Enterprise (> 1000 emp.)

**Reviewed Date:** June 16, 2026

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

Open frameworks and open standards are at the center of everything.

**What do you dislike about Databricks?**

Documents can sometimes be hard to find, especially on Azure.

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

Putting data at the forefront of decision-making is easy with Databricks.

**Official Response from Jess Darnell:**

> Thank you for highlighting the value of open frameworks and standards in Databricks. We apologize for any difficulties you've experienced in finding documents, and we're committed to enhancing the accessibility of resources, especially on Azure. Your input is valuable to us.

  ### 50. Excellent Open-Source Support and Flexible Data Formats

**Rating:** 5.0/5.0 stars

**Reviewed by:** Zengfei S. | Architect, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2026

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

Open source support, flexible of data format

**What do you dislike about Databricks?**

Performance tuning is a challenge, hard to tune to have good performance with lot of table joins

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

Saving warehouse costing and gain the performance tuning

**Official Response from Aunalisa Arellano:**

> Thank you for sharing your feedback with us! We're thrilled to hear that you appreciate Databricks for its open source support and flexible data formats. 

We understand the challenges you've faced with performance tuning, especially with complex table joins. Our team is constantly working to enhance the platform's performance capabilities. We would love to connect with you to gather more insights on your specific use case and offer assistance in optimizing your performance tuning. Please feel free to reach out to our support team so we can work together to ensure you're getting the most out of Databricks. Thank you for choosing us to help you save on warehouse costs and improve performance!


## 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=9&section=pricing&secure%5Bexpires_at%5D=2026-07-06+16%3A36%3A07+-0500&secure%5Bsession_id%5D=7c0afc5f-6beb-4b99-b642-b14a39cb5950&secure%5Btoken%5D=83230743d1e4003335bc360df7bc1dcb7cae3ffdce0d5e5060eef996ad1801d2&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)
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/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)
  - [Apache Airflow](https://www.g2.com/products/apache-airflow/reviews)
  - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
  - [AWS Glue](https://www.g2.com/products/aws-glue/reviews)
  - [AWS Lambda](https://www.g2.com/products/aws-lambda/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 DevOps Server](https://www.g2.com/products/azure-devops-server/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)
  - [Base SAS](https://www.g2.com/products/base-sas/reviews)
  - [Claude](https://www.g2.com/products/claude-2025-12-11/reviews)
  - [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews)
  - [Crunchbase](https://www.g2.com/products/crunchbase/reviews)
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  - [Datadog](https://www.g2.com/products/datadog/reviews)
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  - [Domo](https://www.g2.com/products/domo/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)
  - [GitLab](https://www.g2.com/products/gitlab/reviews)
  - [Google Analytics](https://www.g2.com/products/google-analytics/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)
  - [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)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
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  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [PowerBI Portal](https://www.g2.com/products/powerbi-portal/reviews)
  - [Prophecy](https://www.g2.com/products/prophecy-prophecy/reviews)
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  - [Seamless (formally Seamless.AI)](https://www.g2.com/products/seamless-formally-seamless-ai/reviews)
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  - [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/apache-spark/reviews)
  - [Spark SQL](https://www.g2.com/products/spark-sql/reviews)
  - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)
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  - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews)
  - [Workday HCM](https://www.g2.com/products/workday-hcm/reviews)

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

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

**Management**
- Reporting
- Auditing

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

**System**
- Data Ingestion & Wrangling

**Data Preparation**
- Connectors
- Data Governance

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

**Model Development**
- Feature Engineering

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

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

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

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

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

**Analytics**
- Analytics capabilities
- Dasboard visualizations

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

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

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

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

**Integrations**
- Hadoop Integration
- Spark Integration

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

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

**Deployment**
- On-Premise
- Cloud

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

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

**Management**
- Cataloging
- Monitoring
- Governing

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

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

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

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

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

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

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

**Performance **
- Scalability

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

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

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

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

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

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

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

**Processing**
- Cloud Processing
- Workload Processing

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

**Security**
- Data Governance
- Data Security

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

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

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

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

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

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

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

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

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

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

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

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

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

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

## Top Databricks Alternatives
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