Databricks Reviews & Product Details

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.

Product Website

Seller

Databricks Inc.

Discussions

Databricks Community

Languages Supported

German, English, French, Italian, Japanese, Korean, Portuguese

Overview by

Colette Chavalia

Value at a Glance

Averages based on real user reviews.

Time to Implement

4 months

View More Pricing Information

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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Verified User in Financial Services

Enterprise (> 1000 emp.)

4/17/2024

"My databricks experience in my work"

4/5

What do you like best about Databricks?

Databricks is useful for his scabilty, control large volumetry of data and also small volume. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Maybe the point of attention is to improve the dashboard part. Review collected by and hosted on G2.com.

Response from Janelle Glover of Databricks

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We're glad to hear that you find Databricks useful for managing both large and small volumes of data. Thank you for your feedback on the dashboard. Our team is always working on improving our platform and we'll take your input into consideration.

Qasim H.

Enterprise (> 1000 emp.)

8/13/2023

"Data + AI should be unified"

4.5/5

What do you like best about Databricks?

Before exploring Databricks I had worked on many tools & their integration to make Data flow simpler but Databricks is doing wonders in this space by unifying Data + AI at one platform & also giving smooth UI to Intereatc & get your job done in a simplified manner Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Although my experience is really good but what I have observed is that data bricks is doing wonders with Azure most of the time, I think they introduce Databricks as PAAS with other platforms like AWS especially. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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We're glad to hear that you are enjoying Databricks. We strive to make data flow simpler and are happy to hear that it's benefiting you. Thanks for taking the time to leave a review!

Verified User in Consulting

Mid-Market (51-1000 emp.)

8/1/2023

"One of the best cloud data warehousing solution"

5/5

What do you like best about Databricks?

Databricks Lakehouse Platform impressively unifies data lakes and data warehouses, empowering seamless data access and analysis. Its Apache Spark-powered engine ensures lightning-fast processing, while advanced analytics and machine learning capabilities drive data-driven insights. With robust security, auto-scaling, and managed services, Databricks simplifies data management and boosts collaboration among data teams. An extensive range of integrations further enhances its versatility, making it a game-changer for data-driven organizations. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Learning curve - for users unfamiliar with Apache Spark there may be a learning curve to fully utilize platform capabilities.

Complexity - managing and optimizing large-scale data workflows can be comples, requiring skilled data engineers and administrators,

Sometimes new features are not fully tested, which may cause some problems in the future - but honestly it's not a big disadvantage. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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Thank you for sharing your feedback on the complexity of managing large-scale data workflows and the need for skilled data engineers. We are committed to enhancing our platform's usability and providing comprehensive support for our users.

Verified User in Program Development

Small-Business (50 or fewer emp.)

10/16/2023

"A Robust Solution for Big Data Management and Analytics"

4/5

What do you like best about Databricks?

I really appreciate how Databricks Lakehouse Platform merges the strengths of data lakes and data warehouses, creating a unified space for handling data tasks. It’s like having the best of both worlds which simplifies data management and analytics significantly. The collaborative notebooks are a cherry on top, fostering teamwork and making iterative development smooth among our data teams. Plus, the high-speed analytics capabilities ensure that data queries and sharing are a breeze, which is crucial for our day-to-day decision-making processes. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

The initial hill to climb in terms of learning can be a bit steep, especially if you're new to big data platforms. It felt like a slow start, but once past that hurdle, things started to click. The cost factor can be a bit of a pinch, especially for smaller setups or projects on a tight budget. While there's a decent amount of guidance out there, the documentation can sometimes leave you wanting more, especially when you hit complex or unique challenges that require a deeper dive to navigate through. Review collected by and hosted on G2.com.

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

Databricks Lakehouse Platform is tackling the headache of juggling between data lakes and data warehouses. It's kind of bundled the two into one neat package, making data management and analytics way less complicated. This fusion is cutting down on the tech pile-up in our projects big time, making it simpler to switch between data engineering and data science chores. When it comes to number crunching, the platform's speedy analytics is making queries quick and data sharing reliable, which is big for our decision-making. The collaborative notebooks are a cool feature too, they're encouraging teamwork and making back-and-forth on development ideas smoother among our data teams. There’s a bit to chew on initially learning-wise and the pricing can sting a little, but the payback in simpler data operations and better teamwork is solid. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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We're delighted to hear that Databricks Lakehouse Platform has streamlined your data management and analytics processes. We recognize the initial learning curve and cost challenges, and we're dedicated to improving our resources to facilitate a more seamless onboarding experience and provide greater value to our users.

Axel R.

Mid-Market (51-1000 emp.)

5/9/2023

"Best all-in-one Data Platform environment"

5/5

What do you like best about Databricks?

By providing a fully-managed, highly performant and customizable Spark environment along with regular top-tier productivity features, Databricks is undeniably the most complete Data Platform in the market. My favorites features would be :

* Unity Catalog that provides colum-level lineage and a centralized access right management service

* Delta Live Table that provides easy to implement Data Quality control and monitoring

* Extensive CLIs that gives freedom in chosing your CI/CD platform

* Clusters policies that allows a better cost control Review collected by and hosted on G2.com.

What do you dislike about Databricks?

The offline development can be improved. The recently release of a VsCode Extension and also Spark connect are steps towards this but still needs more features to be satisfying. Review collected by and hosted on G2.com.

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

Databricks helps us develop and deploy Data Products and train Machine Learning models more successfully in production, in very short amount of time, a secured environment and with controlled costs management.

Its compatibility with infrastructure-as-code tools such as Terraform also allows us to easily reproduce our standards accross multiple instances.

The integration with Azure Active Directory also eases the adoption and Access Control of resources and data assets. Review collected by and hosted on G2.com.

Response from Nick Venturella of Databricks

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Axel, thank you for this wonderful review. So glad to read that we're living up to this: "Databricks is undeniably the most complete Data Platform in the market."

Raghwendra S.

SDE 4

Enterprise (> 1000 emp.)

10/30/2023

"Unified Platform for Data Engineering, Data Science , Generative AI and Data Governance"

5/5

What do you like best about Databricks?

Ease of use for setting up data pipelines Review collected by and hosted on G2.com.

What do you dislike about Databricks?

the customer support is little less useful for more complex issues.

Many times patches are applied on workspaces which lead to failues Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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It's great to hear that Databricks Data Intelligence Platform is providing a unified platform for data engineering, data science, and ops, and that it's helping you stay at the forefront of cutting-edge technology.

Jacobus H.

Mid-Market (51-1000 emp.)

8/2/2023

"Most advanced data platform"

4.5/5

What do you like best about Databricks?

Databricks has been developing an excellent product with new features being added constantly. ETL/ELT, dbt integration, integration with external sources, and many more features make it a product that is versatile and highly effective. Managment of permissions is also extremely easy. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

Some automated recommendations on optimizing jobs are lacking, so you could end up spending quite a lot of money without the best performance. The platform is also not for small scale use-cases. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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It's great to hear that Databricks is serving as a fundamental building block for your data infrastructure. We appreciate your insights and will continue to work on making our platform even more beneficial for your use case.

Himanshu P.

Enterprise (> 1000 emp.)

4/11/2023

"Awesome Data Lake Experience Using Databricks"

4.5/5

What do you like best about Databricks?

1. Delta Lake is itself the best thing which Databricks Provide

2. Machine Learning Platform integration

3. Best UI tool

4. Works seamlessly over AWS Platform Review collected by and hosted on G2.com.

What do you dislike about Databricks?

1. Need to improve more when it comes to data ingestion tools integration Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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Thank you for sharing your positive experience with Databricks. We appreciate your feedback on the machine learning platform integration and the user interface.

Shivam M.

Associate

Small-Business (50 or fewer emp.)

1/18/2024

"Data mining"

5/5

What do you like best about Databricks?

It is the best way to manage all the data at a single place. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

I guess nothing is for disliking about it Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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It's great to hear that Databricks Data Intelligence Platform is meeting your data processing needs effectively. We appreciate your feedback.

Ayush S.

Mid-Market (51-1000 emp.)

6/21/2023

"Beast When It Comes To Data On Cloud"

5/5

What do you like best about Databricks?

1. ACID compliance on Data Lake which saves not only cost for storage but makes queries faster.

2. Customizable as per budget (by use of correct cluster sizing and other ways)

3. Init Scripts is really a boon if used correctly. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

1. Clusters often take up a lot of time to start up.

2. Many bugs were encountered personally on the new Unity Catalogue feature.

3. Missing Information Schema on Hive_Metastore. Review collected by and hosted on G2.com.

Response from Aunalisa Arellano of Databricks

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Thank you for sharing how Databricks Data Intelligence Platform is helping you with storing and processing big data, as well as providing role-based access management for data governance. Thanks for taking the time to leave a review!