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# Azure Databricks Reviews & Product Details

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Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizations can efficiently process large-scale data, perform advanced analytics, and build AI solutions, all while benefiting from the scalability and security of Azure. Key Features and Functionality: - Lakehouse Architecture: Combines the best elements of data lakes and data warehouses, enabling unified data storage and analytics. - Collaborative Notebooks: Interactive workspaces that support multiple languages, facilitating teamwork among data engineers, data scientists, and analysts. - Optimized Apache Spark Engine: Enhances performance for big data processing tasks, ensuring faster and more reliable analytics. - Delta Lake Integration: Provides ACID transactions and scalable metadata handling, improving data reliability and consistency. - Seamless Azure Integration: Offers native connectivity to Azure services like Power BI, Azure Data Lake Storage, and Azure Synapse Analytics, streamlining data workflows. - Advanced Machine Learning Support: Includes pre-configured environments for machine learning and AI development, with support for popular frameworks and libraries. Primary Value and Solutions Provided: Azure Databricks addresses the challenges of managing and analyzing vast amounts of data by offering a scalable and collaborative platform that unifies data engineering, data science, and machine learning. It simplifies complex data workflows, accelerates time-to-insight, and enables the development of AI-driven solutions. By integrating seamlessly with Azure services, it ensures secure and efficient data processing, helping organizations make data-driven decisions and innovate rapidly.

* * *

Seller
[Microsoft](https://www.g2.com/sellers/microsoft)
Discussions
[Azure Databricks Community](https://www.g2.com/products/azure-databricks/discuss)
Solution Type

All-in-One

Overview by
Avinash Kumar (Senior Software Engineer(Data Science) at Mindtree)

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## Value at a Glance

Averages based on real user reviews.

### Time to Implement

3 months

### Return on Investment

23 months

[
View More Pricing Information
](https://www.g2.com/products/azure-databricks/pricing)

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## User Insights

Average based on 239 real user reviews.

Implementation Time

3 months

Perceived Cost

$$$$$

[Log in to unlock pricing and user insights](/login)

## Azure Databricks Integrations
(5)

What do users say about integrations?

Integration information sourced from real user reviews.

[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

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 ![Akshat G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Akshat G.")
AG

Akshat G.

Programmer Analyst

Information Technology and Services

Small-Business (50 or fewer emp.)

12/3/2025

"Effortless Data Processing and Seamless Azure Integration"

4.5/5

What do you like best about Azure Databricks?

The platform manages large-scale data processing with impressive smoothness, and its interface becomes quite user-friendly after a short learning curve. Integrating it with other Azure services is straightforward, which significantly speeds up the implementation process. I appreciate the variety of features available for ETL and analytics, allowing us to use it regularly for a range of different workloads. When problems arise, the documentation and support resources are generally sufficient to help resolve issues quickly. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Sometimes, the platform can seem a little complicated for newcomers, and it may take some time for clusters to start up. Managing costs is not always straightforward, and certain features require additional configuration. While support is generally helpful, response times can occasionally be slow. Review collected by and hosted on G2.com.

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

This tool enables us to process large datasets efficiently and construct dependable ETL pipelines. By consolidating data cleaning, transformation, and analytics into a single collaborative platform, it streamlines our workflow. The integration with Azure storage and other services is a significant time-saver, and the increased processing speed has a direct positive impact on our reporting and decision-making. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Muzammil A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Muzammil A.")
MA

Muzammil A.

IT Technician, IT Infrastructure Operations

Mid-Market (51-1000 emp.)

3/30/2026

"Efficient, Scalable Data Processing Powerhouse"

4.5/5

What do you like best about Azure Databricks?

I use Azure Databricks for data processing, ETL, and analytics on large datasets. I like its scalability and easy collaboration in one unified platform. I appreciate its fast performance, seamless integration with other Azure services, and user-friendly notebooks. The initial setup was very easy, especially with the guidelines provided on the website. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Cost management, fast cluster startup times, and a more intuitive UI for beginners. Review collected by and hosted on G2.com.

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

I use Azure Databricks to efficiently process large datasets, simplify ETL workflows, and enable fast, scalable data analysis on one platform. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Verified User in Computer & Network Security](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Computer & Network Security")
UC

Verified User in Computer & Network Security

Small-Business (50 or fewer emp.)

6/18/2026

"All the Tools and Integrations Needed for Modern Data Transformation and AI"

5/5

What do you like best about Azure Databricks?

It has all the necessary tools and integrations for modern data transformation and AI Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

It’s starting to look more like provider lock-in than it was before, even with all the new features. Review collected by and hosted on G2.com.

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

A data platform for data transformation and AI. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: G2 invite

 ![Julius S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Julius S.")
JS

Julius S.

A student at the University of the People

Higher Education

Mid-Market (51-1000 emp.)

7/27/2025

"My review after using Azure Databricks"

4.5/5

What do you like best about Azure Databricks?

Azure Databricks is a great platform that offers a robust environment for querying large datasets through Apache spark. I especially appreciate how effortless it integrate with Azure storage account and notebooks making big data analytics efficient and scalable. Databricks built in version control combined with smooth GitHub integration makes collaboration and code management easy. It's one of the best setup I have worked with. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

The setup and cluster configuration is sometimes confusing and time consuming. Review collected by and hosted on G2.com.

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

One major benefits of using Azure Databricks is that it provides a platform for all data experts in a single environment where collaboration is seamless and scalable. My team (inc. data scientist, engineers and analyst) easily work together in this unified platform to ingest, process, analyze and visualize data effortlessly. Another benefit is the speed and performance to run large scale computations without worrying about infrastructure complexity Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Lakshmi B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Lakshmi B.")
LB

Lakshmi B.

Software Engineer

Enterprise (\> 1000 emp.)

9/18/2025

"“Robust cloud-based big data platform for migration and day-to-day analytics”"

5/5

What do you like best about Azure Databricks?

Azure Databricks gave us a unified platform to run our Spark workloads on top of Azure Data Lake Storage Gen2. We could migrate our on-prem Hadoop data and pipelines into the cloud with minimal re-engineering. Its managed clusters, autoscaling, notebooks, and tight integration with Azure services (ADLS, Key Vault, ADF) saved a lot of infrastructure and maintenance effort. PySpark notebooks made development and debugging much easier compared to our previous setup. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Cluster start-up times can still be slow for quick tests. Pricing is consumption-based and can become expensive if clusters are left running or poorly sized. Some enterprise features (e.g., fine-grained security, monitoring) require extra configuration. And compared to on-prem Hadoop, there’s a learning curve for workspace permissions and DevOps automation. Review collected by and hosted on G2.com.

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

It allowed us to move legacy Hadoop/HDFS workloads to the cloud without rewriting all the code. We now process large volumes of structured and unstructured data using PySpark on a scalable managed cluster, store it in ADLS Gen2, and orchestrate everything through ADF. This reduced infrastructure management overhead, improved performance, and gave teams a collaborative environment for ETL and analytics. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

DC

Drishti C.

Senior data Analyst

Mid-Market (51-1000 emp.)

10/23/2025

"Jupyter & Unity Catalog Shine, Genie AI Needs Improvement"

5/5

What do you like best about Azure Databricks?

Really like the Jupyter notebook system & Unity Catalog lineage Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Genie - Ai Assistant can have better accuracy Review collected by and hosted on G2.com.

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

The multiple coding language in notebook style implementation & crazy governance tracking via UC. I have not tried MLFlow & model serving yet but I have heard that it's great in version controlling & uptime. Review collected by and hosted on G2.com.

Show More

Current UserValidated ReviewerSource: Organic

GP

G P.

Data Engineer

Enterprise (\> 1000 emp.)

6/19/2025

"Review for Azure Databricks"

5/5

What do you like best about Azure Databricks?

The best about azure databricks is very easy to integrate to any cloud, rdbms or any other software services. It is very easy to use and to implement. The frequency of use is so high in my project. There are many number of features in azure databricks. Also it is easy to integrate with gitlab, hive, rdbms etc for any ETC processes. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

There is nothing that i dislike about Azure databricks as of 4 yr experience. Review collected by and hosted on G2.com.

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

The problem which is solved by azure Databricks is, it is having very human friendly ui to easily write the code, schedule workflow, integrate Git. Also for easy data processing, analytics and machine learning tasks. Review collected by and hosted on G2.com.

Show More

Current UserValidated ReviewerSource: Organic Review from User Profile

 ![SAI SHARAN C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "SAI SHARAN C.")
SC

SAI SHARAN C.

Market Research Consultant- Freelancer 

Mid-Market (51-1000 emp.)

12/9/2022

"Process Specialist"

5/5

What do you like best about Azure Databricks?

Easy to write programs a d executes all scripts , user friendly application Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Everything ok it was updating day by day making every user free and stress less tool Review collected by and hosted on G2.com.

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

It's solved all my issue of data and scripts Review collected by and hosted on G2.com.

Show More

1/7/2026
Validated ReviewerIncentivizedSource: Organic Review from User Profile

 ![Yash U.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Yash U.")
YU

Yash U.

data engineer

Mid-Market (51-1000 emp.)

9/16/2025

"Azure Databricks is One of the Best Analytical Software"

4/5

What do you like best about Azure Databricks?

In Azure Databricks, you can have multiple layers of Security in those tables as well as there use interface is far more better that Teradata Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

In Azure Databricks Likely the Cost is the of the factory which poeple though as it can be one of factor Review collected by and hosted on G2.com.

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

Azure Databricks is helpling the old system to mordnize them also includes the AI capabities in those Data which are we have and also the connectivity wise Azure Databricks can be connected to any software like Quilk, Tableau, or SAP etc Review collected by and hosted on G2.com.

Show More

Validated ReviewerSource: Organic

 ![Verified User in Manufacturing](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Manufacturing")
UM

Verified User in Manufacturing

Mid-Market (51-1000 emp.)

1/13/2026

"Outstanding Databricks Experience—Best Implementation Yet"

5/5

What do you like best about Azure Databricks?

This is the best implementation of Databricks I could have hoped for. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Occasionally, when I put my laptop to sleep, my Azure Databricks sessions do not reconnect quickly. Review collected by and hosted on G2.com.

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

We rely on Azure Databricks to manage all of our AI and machine learning workloads. Review collected by and hosted on G2.com.

Show More

Validated ReviewerSource: Organic

## Questions about Azure Databricks? Ask real users or explore answers from the community

Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

[
Ask about Azure Databricks
](https://www.g2.com/products/azure-databricks/discussions/new)

 ![Aman N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aman N.")
AN

Aman Nigam
•
Last activity about 6 years ago

What is the best way to databricks in ADF

1 Upvote

1

[
Join the conversation
](https://www.g2.com/discussions/26515-what-is-the-best-way-to-databricks-in-adf)

 ![Avinash K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Avinash K.")
AK

Avinash Kumar
•
Last activity over 2 years ago

When data is small how can I reconfigure cluster to automatically adjust . I don't know which day data coming will be small.

1 Upvote

1

[
Join the conversation
](https://www.g2.com/discussions/azure-databricks-when-data-is-small-how-can-i-reconfigure-cluster-to-automatically-adjust-i-don-t-know-which-day-dat)

[
View all Discussions
](https://www.g2.com/products/azure-databricks/discuss)

## Pricing Insights

Averages based on real user reviews.

### Time to Implement

3 months

### Return on Investment

23 months

### Perceived Cost

$$$$$

[
View More Pricing Information
](https://www.g2.com/products/azure-databricks/pricing)

Azure Databricks Comparisons

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4.4/5(224)

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4.3/5(90)

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##### 
##### Azure Databricks Features

Data Transformation

Real-Time Analytics

Data Querying

Connectivity

Hadoop Integration

Spark Integration

Multi-Source Analysis

Operations

Data Visualization

Data Workflow

Governed Discovery

[
View More Features
](https://www.g2.com/products/azure-databricks/features)

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[Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

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