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Databricks Reviews & Product Details

Value at a Glance

Averages based on real user reviews.

Time to Implement

4 months

Databricks Media

Databricks Demo - Automated ETL processing
Once ingested, raw data needs transforming so that it’s ready for analytics and AI. Databricks provides powerful ETL capabilities for data engineers, data scientists and analysts with Delta Live Tables (DLT).
Databricks Demo - Reliable workflow orchestration
Databricks Workflows is the fully managed orchestration service for all your data, analytics and AI that is native to your Lakehouse Platform. Orchestrate diverse workloads for the full lifecycle including Delta Live Tables and Jobs for SQL, Spark, notebooks, dbt, ML models and more.
Databricks Demo - End-to-end observability and monitoring
The Lakehouse Platform gives you visibility across the entire data and AI lifecycle so data engineers and operations teams can see the health of their production workflows in real time, manage data quality and understand historical trends. In Databricks Workflows you can access dataflow graphs an...
Databricks Demo - Security and governance at scale
Delta Lake reduces risk by enabling fine-grained access controls for data governance, functionality typically not possible with data lakes.
Databricks Demo - Automated and trusted data engineering
Simplify data engineering with Delta Live Tables – an easy way to build and manage data pipelines for fresh, high-quality data on Delta Lake.
Databricks Demo - Eliminate resource management with serverless compute
Databricks SQL serverless removes the need to manage, configure or scale cloud infrastructure on the Lakehouse, freeing up your data team for what they do best.
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Databricks Reviews (707)

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Reviews

Databricks Reviews (707)

View 1 Video Reviews
4.6
707 reviews

Review Summary

Generated using AI from real user reviews
Users consistently praise the unified platform that integrates data engineering, analytics, and machine learning, making collaboration seamless across teams. The intuitive UI and strong governance features, such as Unity Catalog, enhance productivity and data management. However, some users note that the platform can be expensive and may have a steep learning curve for newcomers.

Pros & Cons

Generated from real user reviews
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PD
Principal Engineer
Enterprise (> 1000 emp.)
"Powerful open-minded data platform"
What do you like best about Databricks?

Awesome tools and open mindedness, and fast innovation Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Ux still has some room for improvement to be easier to learn Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're glad to hear that you appreciate our powerful tools and commitment to innovation. We understand the importance of user experience and are continuously working to improve it for easier learning. Thank you for your feedback!

Ajay Kumar P.
AP
Associate Manager
Small-Business (50 or fewer emp.)
"Databricks - Making life easy with Intelligence"
What do you like best about Databricks?

Databricks help data engineeringa analytics people to create and manage the data pipelines very fast with using latest available feature like - lakeflow and DLT, helps business people to build thier dashboard in databricks with help of Genie Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Databricks have almost all the features which are required to perform Data Engineeringa ,ML and Analytics but can be improved by adding new buildin function in SQL Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're glad to hear that Databricks is helping you create and manage data pipelines quickly with features like lakeflow and DLT, as well as assisting in building dashboards with Genie.

Scott G.
SG
Data Imagineer
Enterprise (> 1000 emp.)
"SQL is back"
What do you like best about Databricks?

Optimized SQL execution on SQL Data Warehouse compute Review collected by and hosted on G2.com.

What do you dislike about Databricks?

The platform is evolving quickly and frequent product name changes are confusing Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

It's great to hear that our platform is solving ease of use and development problems for you, especially with ETL developer tools and SQL data processing.

SM
Machine Learning Engineer
Mid-Market (51-1000 emp.)
"Boosting efficiency with the unified data and AI ecosystem"
What do you like best about Databricks?

Databricks scalability features allowed us to process millions of rows of customer data efficiently. We use utilized Databricks to build a customer segmentation model for an e-commerce platform. Here we identified targeted groups by analyzing purchase history, browsing behavior and other related data. The huge amount of data can be visualized using in-built visualization tool in Databricks, which was incredibly helpful in exploring patterns and presenting insights. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

I personally reached out to support when debugging data pipeline issues. But the issue got resolved in no time, preventing delays in the project. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're glad to hear that Databricks scalability features and in-built visualization tool have been helpful for processing and analyzing large amounts of customer data. Thanks for taking the time to share your thoughts!

EW
Reporting Analyst
Mid-Market (51-1000 emp.)
"A versatile data intelligence platform."
What do you like best about Databricks?

I liked the MLflow integration with Databricks, as it was a crucial part of churn prediction model for our subscription based service that our team developed. The model analysed customer behaviour data to identify potential risks and suggest strategies against that. Also, the job scheduling feature of DataBricks has automated our data preprocessing tasks, which saved us significant amount of time and efforts. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

We had trouble while setting up real time data ingestion pipelines. But the issue was resolved within a day because of the quick and detailed guidance by DataBricks customer support team. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're thrilled to hear that you found the MLflow integration and job scheduling features valuable for your churn prediction model and data preprocessing tasks. We're committed to providing tools that help our customers succeed in their data intelligence efforts.

SS
Senior Consultant
Mid-Market (51-1000 emp.)
"Easy to use, easy to access support system, unified lakehouse architecture and timely new features."
What do you like best about Databricks?

Flexibility of using languages like Python, Pyspark and SQL. New file arriving feature. variety of options to connect with almost all kind of source. Very simple implementation of unity catalog which was hard to manage initially. Volumn that works seamless with python/pandas code. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Databricks diagnose error suggestion. Failed to provide queries for like mail attachment extraction, AES 256 encrypt code etc. Very good for support in python, pyspark and SQL code but not in rare usecase like mentioned above. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're glad to hear that you find our support system easy to access and that you appreciate the flexibility of using languages like Python, Pyspark, and SQL. We will continue to work on improving our error diagnosis and expanding support for rare use cases.

TA
Data Engineer
Enterprise (> 1000 emp.)
"Great platform across the org"
What do you like best about Databricks?

Feature set and governance across multiple business units Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Cost. It can be hard to track your prices Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

Thank you for your feedback! We're glad to hear that you appreciate the feature set and governance capabilities of our platform. We understand that cost tracking can be challenging, and we are continuously working to improve our pricing transparency for our customers.

AS
Data Engineer
Small-Business (50 or fewer emp.)
"Data Engineer"
What do you like best about Databricks?

The training the overall usability of it. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

The trainings can be more lab oriented for people. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're glad to hear that you find our platform's training and usability to be valuable. We appreciate your feedback about the training format and will take it into consideration for future improvements.

DF
Senior Data Scientist
Mid-Market (51-1000 emp.)
"Performance of Databricks in Ml - Review !"
What do you like best about Databricks?

I find that Databricks is totally fit for our requirement and budget in even middle level company like us , it uses Python which is easy to work with and databricks provides live datastream into input channels . I find lakehouse features best and also apache spark provides distributed processing for massive amount of data. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

It suits our company requirements but it needs a bit of patience at beginning with getting used to the processes since it integrates ml , ai and data processing. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're glad to hear that Databricks is fitting well with your requirements and budget. The use of Python and the live datastream into input channels are indeed great features. We appreciate your feedback on the lakehouse features and the distributed processing capabilities of Apache Spark.

GM
Data Scientist
Small-Business (50 or fewer emp.)
""A Game Changer For DDO""
What do you like best about Databricks?

Databrick is very user friendly, and i find it to be very benificial. The feature i like the most is MLflow as it allows us to keep record of machine learning models. It also processes data very quickly and reduces workload, which is very helpful. Additionally it is cost efficient, and multiple team can collaborate easily.Its Spark support, ML pipelines and DL make it an even more powerful tool for DDO.I find it to be a perfect platform. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

There is nothing in it that is worth disliking. But in my opinion, for beginners, understanding its interface and features can be difficult at first, but otherwise, it is a fantastic platform, and its features are very powerful Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

Thank you for sharing your positive experience with Databricks Data Intelligence Platform! We're glad to hear that you find it cost-efficient and powerful for collaboration. We understand that the interface may be challenging for beginners, and we're continuously working to improve the user experience. We appreciate your support!

Questions about 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.

GU
Guest User
Last activity over 1 year ago

What is Lakehouse in Databricks?

GU
Guest User
Last activity about 2 years ago

What are the features of Databricks?

Pricing Insights

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

14 months

Average Discount

14%

Perceived Cost

$$$$$

How much does Databricks cost?

Data powered by BetterCloud.

Estimated Price

$$k - $$k

Per Year

Based on data from 29 purchases.

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Databricks Features
Real-Time Data Collection
Data Distribution
Data Lake
Spark Integration
Machine Scaling
Data Preparation
Spark Integration
Cloud Processing
Workload Processing
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Databricks