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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.

[

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

Verified User in Computer & Network Security

Small-Business (50 or fewer emp.)

3/27/2026

"Lakebase Delivers Flexible Postgres Power for AI, Now with Autoscaling"

4/5

What do you like best about Azure Databricks?

Lakebase and API gateways. We use Lakebase as our primary database, and it has very strong capabilities for AI workloads. It’s also easy and flexible to work with because it’s a Postgres database. I think the addition of autoscaling databases is a really good improvement; instead of having static Compute Units assigned to each database, they can now scale automatically. I also like that with autoscaling you can set both the minimum and maximum CU, which gives you more control while still keeping things flexible. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Pricing is still not very clear, things are still measured in Compute units which is really hard to get down for pricing Review collected by and hosted on G2.com.

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

We needed a platform that could cover our ML and data capabilities end to end. We use Lakebase as our primary data system, and it’s been easy to port work into notebook capabilities since Databricks is very strong with Spark. Their AI gateway also helps ensure we can run AI workloads on our data, which was important for us as well. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: Organic

 ![Praveen K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Praveen K.")
PK

Praveen K.

Data Engineer

Mid-Market (51-1000 emp.)

6/1/2026

"Powerful platform for Data Engineering."

4/5

What do you like best about Azure Databricks?

Easy big data processing and scalability. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

"Costs can increase with heavy usage." De Review collected by and hosted on G2.com.

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

Azure Databricks simplifies big data processing, ETL, and analytics, helping me build scalable data pipelines faster and improve productivity. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: 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.

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Validated ReviewerSource: Organic

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

Verified User in Consumer Goods

Enterprise (\> 1000 emp.)

10/21/2024

"Unified Lakehouse"

4/5

What do you like best about Azure Databricks?

Unified data eco system capability for DE and ML Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Steep learning curve, still evolving on basics Review collected by and hosted on G2.com.

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

Gives you unified lakehouse capability to break down silos in data teams. Being able to create E2E solution in one solution rather than using many solution from seperate companies Review collected by and hosted on G2.com.

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5/6/2025
Validated ReviewerSource: Organic

 ![Marcy H.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Marcy H.")
MH

Marcy H.

Freelance Social Media Specialist

Small-Business (50 or fewer emp.)

12/7/2023

"The best program for data management that exists."

4/5

What do you like best about Azure Databricks?

Azure Databricks is awesome. Its ability to simplify data analysis is unparalleled. I love the intuitive interface and real-time collaboration it offers, facilitating agile decision making.

In short, Azure Databricks has transformed the way we approach data analysis. Its versatility, power and the way it accelerates decision making make it the undisputed choice for our team. We are excited for the future and the innovations that will continue to improve our experience with this platform. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Although Azure Databricks is incredibly powerful, sometimes the learning curve can be steep. It would be great to have more training resources built in to make it easier to onboard new users. Review collected by and hosted on G2.com.

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

At our company, Azure Databricks has been the key to solving complex data analysis problems. We have improved operational efficiency and optimized resources, resulting in significant savings. The benefits are palpable: greater agility, faster insights and more informed decisions. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

NS

Nida S.

System Engineer

Enterprise (\> 1000 emp.)

1/23/2024

"Azure Data Bricks : an excellent symphony between Apache Spark and Cloud technology"

4/5

What do you like best about Azure Databricks?

Harness the power of a top analytics system (Apache Spark) with the ease and flexibility of a cloud platform (Azure) and seamless integration with Power BI to transform the massive amounts of data into visualization .One click deployment adds to its advantages. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

User needs to be aware of the billing and monitor the usage pattern well to avoid incurring high cost .UI could do with few more enhancements.Also more in depth learning material w and an active support community would be very advantageous for new users. Review collected by and hosted on G2.com.

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

I use it to integrate, transform and process the Big Data before using it as source in my Power BI dashboard to generate visualization for business users Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Naresh N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Naresh N.")
NN

Naresh N.

Associate - Capital Markets

Mid-Market (51-1000 emp.)

10/8/2023

"Unified Data platform - Databricks"

4/5

What do you like best about Azure Databricks?

The most impressive thing which I liked about the Azure Databricks is that It helps to simply our Data science and Data engineering workloads. As we use Azure as our cloud provider including Databricks from the same vendor allows us to do all billing without any hazel. The optimised notebook in Databricks help us to write efficient pyspak code which can handle big data processing like a charm. Also it get easily integrated with Azure DataFactory to build some pipeline for automation purpose. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

1. We use Azure Databricks to build som code in notebook which can process and transform complex data problems, but when it comes to automate, the Databricks native workflow and job scheduler doesn't give that much features when comparing to other platforms like Azure DataFactory.

2. When we use SQL environment for data warehousing purpose, since it use Photon engine the upfront cost of having it is much higher than other platforms like snowflake. Review collected by and hosted on G2.com.

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

We used Azure Databricks to handle big data analytics problems. We developed code using notebook which contains complete data integration and data transform steps.

Using the product along with Azure give use more flexibility in terms on management and billing as all the resources are under same billing account. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Verified User in Information Technology and Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Information Technology and Services")
UI

Verified User in Information Technology and Services

Small-Business (50 or fewer emp.)

12/17/2023

"Best tool for big data handling"

4/5

What do you like best about Azure Databricks?

I am a data engineer and Databricks integration into azure has made my work a lot easier i can directly spin up spark clusters on cloud and work on big data .The interface is easy to use just like a python notebook and its packed with so many features. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

well for me there hasn't been any issues while using but using azure databricks can cost money. You need to be careful about how much you use to avoid high bills.azure databricks works closely with microsoft azure. If you prefer using different cloud services his might not be the best for you. Review collected by and hosted on G2.com.

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

As a data engineer i work on big data ,so azure databricks allows me to just spin up a cluster and write spark code in jupyter notebook like setup and all my data is already accesible ia azure storage services. Review collected by and hosted on G2.com.

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Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconValidated ReviewerIncentivizedSource: G2 invite

 ![Mitul S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mitul S.")
MS

Mitul S.

Technical Lead

Enterprise (\> 1000 emp.)

9/12/2023

"Good solution for data management with pain of indexing data"

4/5

What do you like best about Azure Databricks?

One of the best datalake solutions in the market with efficient data storage and retrieval capabilities. Also introduction of various layers like bronze, silve and Gold allows you to segregate your logical data retrieval Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

One of the major drawbacks is integration with third party tools if someone wants to connect to azure Databricks with HL7 spy or Caristix. Also UI needs some modifications in terms of how much data one can allow to be populated from cache Review collected by and hosted on G2.com.

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

Serves as datalakehouse solution for storing raw data as well as transformed and translated data that can be used as database for observability tools and periodic data health check Review collected by and hosted on G2.com.

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9/25/2023
Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Parag P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Parag P.")
PP

Parag P.

Lead Data Scientist

Enterprise (\> 1000 emp.)

10/21/2023

"Azure Databricks in Production"

3.5/5

What do you like best about Azure Databricks?

Azure databricks is easy to use and support all the features like data engineering tools support like spark and mlops tools like mlflow.

Easy to scale in production with minimal efforts Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Few components are tightly coupled those are not flexible to change Review collected by and hosted on G2.com.

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

We have huge amount of data which is difficult to manage in traditional machine learning framework. Azure databricks provides support of spark using that we can easily manage our data pipeline also it does support mlops with native support of mlflow using this we are able to manage entire machine learning cycle. 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)

 ![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)

 ![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)

[
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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Azure Data Lake Analytics

4.2/5(37)

[
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IBM Cloud Pak for Data

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)

##### Categories on G2

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

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