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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 (706)

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Reviews

Databricks Reviews (706)

View 1 Video Reviews
4.6
706 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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Verified User in Computer Games
UC
Mid-Market (51-1000 emp.)
"Powerful unified platform for scalable data workflows"
What do you like best about Databricks?

Love that it integrates seamlessly across data engineering, analytics and ML teams. Collaborative workspaces are great for productivity Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Interface can be a bit sluggish with large workloads Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

It's great to hear that Databricks Data Intelligence Platform is helping to solve the problem of data silos and providing faster time to insight, improved scaling pipelines, and better collaboration across teams.

TW
Data scientist
Enterprise (> 1000 emp.)
"Great product for data lakehouse"
What do you like best about Databricks?

Open source technology with integrated data catalog to manage datalake data Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Sometimes cluster configs can be challenging to manage Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're glad to hear that you appreciate the open source technology and integrated data catalog in our platform. We understand that managing cluster configurations can be challenging at times, and we're continuously working to improve the user experience in this area. Thank you for sharing your feedback with us.

JN
Data Scientist
Mid-Market (51-1000 emp.)
"They have the most unified and simplified data ecosystem for data governance, Analytics, AI/BI"
What do you like best about Databricks?

Unity Catalog and MLOps are unmatched products. Having your data, process, and models all in unity catalog is mind blowing. Oh, also, I have never loved ML model serving more Review collected by and hosted on G2.com.

What do you dislike about Databricks?

The free edition isn’t that helpful since you have to use serveless. You can’t set up a custom environment/compute resources which limit the usefulness of databricks free edition Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're glad to hear that you find our Unity Catalog and MLOps products unmatched! We appreciate your feedback!

Verified User in Online Media
IO
Mid-Market (51-1000 emp.)
"Databricks has unlocked ML and AI for our data"
What do you like best about Databricks?

ease of model hosting / serving and our availing to always have the latest and greatest with foundation models Review collected by and hosted on G2.com.

What do you dislike about Databricks?

It is not very intuitive as a platform — lots of different permissions and compute is confusing Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

It's great to hear that having ML and AI in one place has made orchestration easier for you. We're committed to solving siloed data challenges.

VM
Senior Data and Analytics Architect
Enterprise (> 1000 emp.)
"Databricks as a product is extremely useful and learning is fun"
What do you like best about Databricks?

I like the most how portable it is and support to all different kinds of programming languages Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Workspace UI can be better and easy, navigating between different features could be better Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're thrilled that you find Databricks useful for solving data governance and security challenges. Your feedback about the Workspace UI and navigation is valuable, and we'll strive to make improvements in those areas.

LC
Senior Data Scientist
Mid-Market (51-1000 emp.)
"Robust features for enterprise level workflows"
What do you like best about Databricks?

Databricks is one of the most easy to use product for data scientists and engineers. The collaborative workspace is a stand out feature of this product which allows our team to share notebooks, visualise data together and manage produts. My team used Databricks to build a predictive model for customer churn analysis. Features like AutoML accelerated model development and integration with Azure Data Lake made it easy to pull in live data streams. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

During an implementation project, our team struggled to configure cluster settings to optimise cost and performance. We wasted time troubleshooting issues because the documentation didn't provide clear guidance on this specific case. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

It's fantastic to hear that Databricks has been a game changer for your organization, enabling scalability and efficient handling of large datasets for quick analysis and valuable insights. We're thrilled to be able to support your organization's data intelligence needs.

Verified User in Financial Services
UF
Mid-Market (51-1000 emp.)
"Databricks streamlines data pipelines and data ownership"
What do you like best about Databricks?

I love using the version controlled DBSQL authoring environment. It promotes collaboration and ownership. I build dashboard features daily and it's a real time saver. Managing databricks asset lifecycles is also very easy to integrate using DABs and git version control. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Looking forward to liquid clustering to optimize dashboards automatically ! Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

It's great to hear that Databricks Data Intelligence Platform is enabling you to write SQL over any sized table with ease. We strive to provide a powerful and user-friendly platform for data processing and analysis.

BC
Director
Mid-Market (51-1000 emp.)
"Great"
What do you like best about Databricks?

Databricks: Where your data meets its AI destiny!

Tired of data silos and complex ML workflows? Databricks' Lakehouse Platform unifies your data, analytics, & AI. Get faster insights, build smarter apps, and innovate like never before. #Databricks #Lakehouse #DataAI #MachineLearning #BigData Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Databricks: Powerful, but often kind of pricey… Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

We're thrilled to hear that our platform is helping you solve your needs securely and robustly. We understand your concern about pricing and are constantly working to provide competitive pricing while delivering exceptional value.

Verified User in Telecommunications
UT
Mid-Market (51-1000 emp.)
"End to End Data and Analytics"
What do you like best about Databricks?

I like the end-to-end functionality of Databricks when it comes to accessing data for analytics. It is an intuitive one-stop shop for data ingestion, governance, querying, and visualization. It also accomplishes all of this without any vendor lock-in, easy integration with other BI platforms, and generally lower costs than peer data platforms. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Databricks has not historically been welcoming to low-code users, but that is changing. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

It's great to hear that Databricks is helping you establish a single source of truth for your data lake, enabling both SQL queries and AI/ML model development. We appreciate your feedback and are dedicated to further enhancing our platform.

EA
Big Data Engineer
Mid-Market (51-1000 emp.)
"The go-to platform for scalable data analysis and AI."
What do you like best about Databricks?

Databricks provides excellent tools for data engineering, machine learning and business analytics. The interactive notebooks makes exploring datasets straight forward, with support for multiple languages like python, SQL and Scala. We used Databricks to create a centralised data pipeline for customer sentiment analysis. With its ability to handle streaming data, we integrated Twitter feeds, customer reviews and support tickets into single databset. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

We faced difficulties while integrating Databricks with a on-premises database due to limited support for hybrid environment. This required building a custom connector, with took additional time. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

It's great to hear that Databricks Data Intelligence Platform has been instrumental in solving your data analysis and AI needs. The recommendation engine for your e-commerce client is a fantastic example of the platform's capabilities in processing large datasets and enabling collaborative work.

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 about 2 years ago

What are the features of Databricks?

GU
Guest User
Last activity over 1 year ago

What is Lakehouse in 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