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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)

## Top-Rated Alternatives

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[
View All Alternatives
](https://www.g2.com/products/azure-databricks/competitors/alternatives)

## 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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](https://www.g2.com/products/azure-data-lake-store/reviews)[

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

Microsoft Power BI

](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)[

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

Snowflake

](https://www.g2.com/products/snowflake/reviews)

Show More

 ![Pang L.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pang L.")
PL

Pang L.

Machine Learning Engineer

Small-Business (50 or fewer emp.)

7/19/2024

"A great collaboration platform"

5/5

What do you like best about Azure Databricks?

It is a single platform covering data engineering and machine learning. People in different roles, such as data scientists, machine learning engineers, and data engineers, can conveniently work together on it. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

There is one issue I really hope they can fix. The widgets panel settings of notebooks default to "Run Accessed Commands," which I find really inconvenient. I strongly suggest they change it to "Do Nothing." Review collected by and hosted on G2.com.

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

Machine learning R&D; data pipeline. I use Databricks every day. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic Review from User Profile

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

Arpit K.

Associate Data Engineer

Mid-Market (51-1000 emp.)

6/28/2024

"Best product for data driven activities"

5/5

What do you like best about Azure Databricks?

The best part about Databricks is we can use many languages like sql , python , scala in same platform for our work , secondly UI is best . Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

As such nothing I only feel one drawback is thst they are not having there own storage Review collected by and hosted on G2.com.

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

We were using many platforms like PBI , SQL , IDLE but we got all on same platform after using this product. Review collected by and hosted on G2.com.

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7/24/2024
Current UserValidated ReviewerSource: Thank You page

 ![Brandon P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Brandon P.")
BP

Brandon P.

Manager, Data Engineering

Mid-Market (51-1000 emp.)

11/18/2024

"Amazing"

5/5

What do you like best about Azure Databricks?

It's designed for engineers! Makes accessing cloud cluster so convenient! Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

It's hard to understand full cost at times. Review collected by and hosted on G2.com.

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

It is our heart of our data platform at the organization. From reporting to advanced analytics Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Verified User in Health, Wellness and Fitness](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Health, Wellness and Fitness")
UH

Verified User in Health, Wellness and Fitness

Small-Business (50 or fewer emp.)

12/13/2023

"DataBricks for Data Engineers and ML Jobs"

4.5/5

What do you like best about Azure Databricks?

Easy To use, no need to worry about the cluster configurations.

its widenly used azures for Data transformation and ETL jobs

its useful for Dataengineers and Datascience Projects.

new and enhanced technology are implementing like Unified analytics, autoloader and Machine Learning Service Integaration.

we can use for realtime data streaming using apache kafka and structured streaming.

cost wise less compared to other tools like snowflake. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Its more dependent on the microsoft azure cloud provider

Its more cost when we are trying to move the large dataset in and around of the azure cloud

Supporing team are less action taking, whenever we raise the tickets for any issues on databricks they will ask us to escalate so it will reach to higher team then they will take the action on the issues, so it will be very less moving on support Team.

Other tools are more optimised and more User friendly. Review collected by and hosted on G2.com.

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

We developed the Pipelines for Moving and transforming the data between blob to snowflake

we applied complex transformation on the data and also data available in delta tables.

connectivity to snowlflake and loading to the datawarehouse. Review collected by and hosted on G2.com.

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1/2/2024
Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![prasadgoud a.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "prasadgoud a.")
PA

prasadgoud a.

System Engineer

Enterprise (\> 1000 emp.)

8/28/2024

"Is Azure Databricks best?"

5/5

What do you like best about Azure Databricks?

This is the one and only data lake house platform covers everything a DataEngineer needs. Unity catalog feature is best as it helps us maintain Medalian architecture. Maintaining notebooks is easy. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

Only thing is its very costly, so need to constantly monitor resource usage. Review collected by and hosted on G2.com.

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

Helps in developing day to day ETL processes and makes it easy to run notebooks and jobs Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Krati B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Krati B.")
KB

Krati B.

Consultant Data Engineer

Enterprise (\> 1000 emp.)

11/16/2023

"Azure Databricks: A great tool"

5/5

What do you like best about Azure Databricks?

Azure databricks is a great amalgamation of azure cloud services and databricks. Its quite easy to setup and I can do everything in my azure cloud platform only. The best thing about it is we need not manage the cluster, its properly automated. Its great how I can use Azure VMs along with databricks Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

So far I have not found anything to dislike. Azure Databricks is definately a plus to both Databricks and Azure users Review collected by and hosted on G2.com.

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

Being a data engineer, I have faced lot of challenges with data transformation. Azure Databricks has definately come to the rescue as it has ample libraries and such cool features as time-travel and versioning, it helps a lot and mostly saves me from any wrong commits in my code. It also helps me handle different kinds of files quite efficiently and let me deliver clean files to the client Review collected by and hosted on G2.com.

Show More

Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Priyanshu A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Priyanshu A.")
PA

Priyanshu A.

Data Analyst intern

Mid-Market (51-1000 emp.)

2/23/2024

"One of the best powerful engine to store and process large datasets"

5/5

What do you like best about Azure Databricks?

There are many things which I like best about Azure Databrick i.e., it is one of the best engine in the cloud to store and process large datasets. I have easily integrated this with Azure data lake storage and Azure SQL database. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

I don not see any issue or concerns about Azure Databricks except costing which I thought is a little bit high in comparison with its competitors. Review collected by and hosted on G2.com.

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

Handling large volumes of data efficiently is a very big challenge in big data processing. Azure Databricks helps in storing and processing this large dataset within no time.

I have easily integrated with Azure Storage, Azure SQL Database and Azure Machine Learning. With the help of Azure Machine Learning, I have done predictive modelling in quite less time. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Aziz Rahman H.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aziz Rahman H.")
AH

Aziz Rahman H.

Freelance Translator

Small-Business (50 or fewer emp.)

1/3/2024

"I have a robust background in utilizing Azure Databricks for big data and analytics projects."

5/5

What do you like best about Azure Databricks?

As a machine learning model developed by OpenAI, I don't have personal experiences or preferences. However, I can provide information based on common user feedback.

Many users appreciate several aspects of Azure Databricks, including:

Collaborative Environment: Azure Databricks provides a collaborative workspace where data scientists, engineers, and analysts can work together seamlessly, fostering collaboration and knowledge sharing. Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

While Azure Databricks is a widely used platform with numerous advantages, there are some considerations and potential drawbacks that users may encounter:

Cost: Using Azure Databricks can be expensive, especially for large-scale and resource-intensive workloads. Users should carefully monitor their usage to avoid unexpected costs.

Learning Curve: For users new to big data processing and Apache Spark, there might be a learning curve associated with mastering the intricacies of Databricks and Spark-based workflows. Review collected by and hosted on G2.com.

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

Azure Databricks solves various challenges related to big data processing, analytics, and machine learning. The benefits derived from using Azure Databricks depend on the specific use case and the goals of the organization or individual. Here are some common problems that Azure Databricks addresses and the associated benefits:

Scalable Data Processing:

Problem: Processing large volumes of data efficiently can be challenging.

Benefit: Azure Databricks, built on Apache Spark, offers scalable and distributed data processing capabilities, allowing users to handle big data workloads with ease. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

 ![Dinesh S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dinesh S.")
DS

Dinesh S.

Software Engineer

Computer Software

Enterprise (\> 1000 emp.)

9/22/2023

"Databricks review"

4.5/5

What do you like best about Azure Databricks?

It can be used as a working session for writing SQL,python queries by mapping the database in the databricks.the output of the queries can be downloaded in Excel and in other formats such as CSV ,is the best features which helps for analysing the data.python commands can also be executed using %py by simply changing the language from SQL to python.Therw are additional features like uploading the wheel file generated in a dbfs path which is easier to use in order to get the latest code in github Review collected by and hosted on G2.com.

What do you dislike about Azure Databricks?

While copy pasting the commands from one cell to another ,the header of the command is not copied.we have to manually redo again .Another backlogging issue is we need to start the cluster manually after a certain period and it takes larger time to get active.we cannot able to drag the command in between the commands. Review collected by and hosted on G2.com.

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

We can use both python and SQL at a time which helps in integrating multiple codes at a time.creating separate notebooks for each tasks helps in developing the codes ,writing the SQL test cases , performing unit test cases.also cloning the notebooks helps in reexecuting the same set of queries when a new data comes into the database table. Review collected by and hosted on G2.com.

Show More

9/26/2023
Current UserValidated ReviewerSource: Organic Review from User Profile

 ![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.

Show More

Validated ReviewerIncentivizedSource: G2 invite

## 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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Dataiku

4.4/5(224)

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 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_f176b4154a751d10150daa67a57b7dc5/azure-data-lake-analytics.jpg "Product Avatar Image")

Azure Data Lake Analytics

4.2/5(37)

[
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 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_5015a6ccbbe12278ba4392c1c0d806be/ibm-cloud-pak-for-data.png "Product Avatar Image")

IBM Cloud Pak for Data

4.3/5(90)

[
Compare Now
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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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