Databricks Data Intelligence Platform

What do you like best about the product?

We use Databricks to process booking and service data before creating operational dashboards for our team. I imported datasets into Delta tables, used SQL queries to prepare revenue and booking metrics, and built KPI dashboards to monitor provider performance and monthly trends. Catalog Explorer made it easier to inspect schemas and validate data before reporting. Keeping data preparation, querying, and visualization in one workspace reduced manual work and helped us generate reports faster.

What do you dislike about the product?

The main challenge was the initial learning curve. Understanding the workspace layout, Catalog Explorer, SQL Warehouses, and dashboard configuration took some time when I first started using it. After a few days of working with the platform, navigation became much more intuitive, but better onboarding for new users would make the experience smoother.

What problems is the product solving and how is that benefiting you?

Databricks helps us centralize data preparation, SQL analysis, and reporting in one platform instead of switching between multiple tools. I used it to create managed Delta tables, analyze booking and revenue data with SQL, and build dashboards to track KPIs, provider performance, and monthly trends. This made reporting faster and helped us monitor operational performance more efficiently.

What do you like best about the product?

The notebook experience is one of the premium features I use very often. It saves me time, and I spend less time on operational tasks compared to actually working productively with data because the user flow is so simplified. The biggest advantage is having ML and data engineering under one roof, so I don’t have to switch between different tools. The support and onboarding are very smooth as well, and the product’s performance is better than its competitors.

What do you dislike about the product?

Nothing as of yet, since it has been a very short time so far. That said, having more product videos would be helpful, especially for users who haven’t used multiple tools before. A bigger community around the product could also be useful in the long run.

What problems is the product solving and how is that benefiting you?

As mentioned, the biggest advantage of this product is having everything in one place, which makes work simpler and more productive. Also, the easy integrations with multiple platforms make it even more usable.

What do you like best about the product?

I appreciate Databricks for its intuitive interface, which is very user-friendly and flexible, making work comfortable. I use it extensively for collaborative work; my colleagues can view, comment on, and improve analyses all in one place, which is really handy. I can also develop production models, train, test, and deploy them efficiently. It offers excellent data control by allowing me to manage who accesses which data and track changes, reducing technical issues and data inconsistency problems while improving regulatory compliance. I also found the initial setup simple, which is a big plus for us.

What do you dislike about the product?

I don't like the idea that scalability can process large amounts of data and generate resources as needed. Furthermore, it requires better governance at scale and demands a significant organizational effort. What I mean is that it requires much more effort than normal, and that's something that should be changed and optimized to avoid so much effort.

What problems is the product solving and how is that benefiting you?

I use Databricks for collaborative work with colleagues, ensuring data consistency and better control. It allows me to focus on models, improve compliance, and manage permissions easily. The user-friendly interface enhances workflow efficiency.

What do you like best about the product?

I really like that Databricks is integrated in a web browser, which makes it extremely easy to access. Anyone with access to a web browser and authentication to our data system can do self-service analytics. This is a big improvement from when we used Teradata, which was extremely slow and required downloading an application. Now, with Databricks, everything's in the web browser and that's a major plus.

What do you dislike about the product?

I believe that Databricks can be improved by maybe having a more useful path for beginners. Sometimes it could be a steep learning curve when learning Databricks, understanding what queries do, understanding what's the difference between notebooks, jobs, workspaces, etc.

What problems is the product solving and how is that benefiting you?

Databricks solves our problems by providing everything needed for data transformation, processing, analytics, SQL queries, and machine learning models, all in one place.

What do you like best about the product?

I must say that Databricks has earned a place among my favorites since I started using it. It changed the way I handle large volumes of data and is truly excellent. I use several of its features to divide tasks and run operations in parallel, allowing us to keep up with business demands. Databricks solves problems, keeps everything under control, and manages data quality, enabling us to work much more efficiently. I enjoy being able to work on projects with my colleagues in real time, sharing notebooks and conducting joint analyses. I love the speed at which large amounts of data can be processed, allowing me to obtain information more quickly and make informed decisions. The initial setup was great as well.

What do you dislike about the product?

Personally, I would like to see a more intuitive interface and some features that could benefit from greater simplicity.

What problems is the product solving and how is that benefiting you?

Databricks handles large data efficiently, enhances real-time collaboration, and simplifies managing data quality. It allows task division and parallel operations, keeping up with business demands and making informed decisions quickly.

What do you like best about the product?

I like Databricks for many reasons. Its version control system is a standout feature, especially with its ability to roll back time, which has really saved us when we needed to recover data or understand changes. I also appreciate the user interface and the collaborative experience it provides. The ability to comment, version, and link results makes troubleshooting much easier for us. Additionally, I found the initial setup process to be surprisingly easy, with everything working very well right from the start.

What do you dislike about the product?

When something goes wrong, the messages can be cryptic, it would be helpful to add a built-in user-friendly guide for common errors.

What problems is the product solving and how is that benefiting you?

I use Databricks for scaling and improving processing, optimizing tracking, ensuring model reproducibility, and promoting models. It executes distributed jobs without manual cluster management and enhances access control.

What do you like best about the product?

I appreciate the connectivity and ecosystem of Databricks because the integration is excellent, and the orchestration tool is superb. The APIs make integrating Databricks with our tools a breeze. I also value the version control and ACID transformations, which make reconciliation and forwarding far less prone to manual errors. These functions are reliable for critical transfer and version control operations, reducing human risk and facilitating auditing. Additionally, ACID ensures data integrity and recoverability, and the support and integration shorten resolution time, improving operational stability. The initial setup was easy.

What do you dislike about the product?

Improved native compatibility with small files, especially in utilities that consolidate small objects by reading them without needing to design specific processes.

What problems is the product solving and how is that benefiting you?

I use Databricks for integrating transfer systems, managing reconciliation issues, and ensuring data integrity. It reduces manual errors with version control and ACID transformations, facilitates auditing, and improves operational stability with excellent integration and support.

What do you like best about the product?

Unity catalog and asset bundle (DAB), DLT

What do you dislike about the product?

Some restriction with unity catalog, like the controls, external location vs volume

What problems is the product solving and how is that benefiting you?

Creation a good governance data layer for consumption

What do you like best about the product?

I like Databricks for its usability and AI features. Handling large data is much easier without worrying about the infrastructure and scaling. The query generator is my latest favorite feature, and transitioning to Databricks was an easy process for our team.

What do you dislike about the product?

Versioning can be difficult when you work on long notebooks. It's difficult to navigate to sections and identify the cells. The UI for the cells could be improved to show more clearly when it has run, with clear indication.

What problems is the product solving and how is that benefiting you?

Databricks handles large data effortlessly, without infrastructure concerns.

What do you like best about the product?

Unified vision of data, strong data governance

What do you dislike about the product?

Nothing, I full appreciate Databricks product

What problems is the product solving and how is that benefiting you?

Bringing all the data in One single place and è dure governance and trustability