Databricks Data Intelligence Platform

What do you like best about the product?

I like that Databricks lets me consolidate all our information in a lakehouse architecture in a clean and efficient way. I can create models and automated alerts for discrepancies in taxes, duties paid, or expired permits, which enables us to maintain a proactive approach to compliance. It replaces massive Excel files and manual processes with automated data models that cross-reference customs declarations with internal accounting records. The initial setup was easy.

What do you dislike about the product?

I would like Databricks to have more no-code templates or preconfigured native dashboards for business and regulatory compliance users.

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

I use Databricks to replace massive Excel files and manual processes with automated data models that cross-reference customs declarations against internal accounting records.

What do you like best about the product?

I use Databricks to run ingestion, transformation, and reconciliation pipelines for several clients’ data on one platform, and to prepare feature tables for fraud detection. The setup was smoother than I expected: my workspaces, cluster policies, and Unity Catalog were ready within the first sprint. Genie Code drafts and debugs my PySpark, so I can spend more time on edge cases than boilerplate, and it often reads a job’s stack trace faster than I do. It also helped me pinpoint a provider file-format mismatch, so I could add an expectation and get reconciliation reports to the client’s finance team on time. Separate workspaces keep client projects apart, cluster policies help prevent oversized clusters on client budgets, and Unity Catalog gives me one place to manage table permissions and trace lineage when a source change breaks something downstream. Databricks helps me fix schema changes and failed jobs quickly so clients receive reliable data without delays.

What do you dislike about the product?

My main reservation is the pipelines dashboard. Since I deliver for several clients, their pipelines end up in one flat list and blur together. Assigning permissions pipeline by pipeline is tedious and, with client data involved, leaves too much room for error. Folders with inherited access, tags for client and environment, filters, and a summary of failed or delayed runs would make it easier to check one client’s pipeline health at a glance.

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

Databricks lets me run ingestion, transformation, and reconciliation pipelines for several clients’ data on one platform. Genie Code speeds up my PySpark development and debugging, so schema changes and failed jobs get fixed quickly and clients receive reliable data without delays.

What do you like best about the product?

I appreciated the security and the ability to trace the origin of each figure. It’s easy to identify the data source and make sure only authorized individuals can access confidential information. I also valued the color-coding, as well as the fact that it lets me combine data-cleaning code, SQL queries, and explanatory notes all in one place.

What do you dislike about the product?

I didn’t like having to require SQL or Python skills from finance professionals without adequate support. This created considerable resistance during the first few months.

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

Databricks addresses the slowness and fragmentation in financial analysis by replacing cumbersome spreadsheets and siloed systems with a high-speed platform that can process transactions in minutes and help automate month-end closes.

What do you like best about the product?

It is a unity data engineering, Analytics and machine learning platform. It helps in processing large scale data.

What do you dislike about the product?

Cost grow quickly
Cluster configurations, permissions and governance is becoming challenging in large organizations.

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

Slow processing of large datasets
Separate tools for data engineering, Analytics, AI and reporting.

What do you like best about the product?

I like Databricks' Unity Catalog, AI features, and governance features, which include data lineage, ABAC policies, AI agents, Genie, Genie code, and AI functions. These features simplify our work and are easy to configure and manage. I also switched to Databricks' workflows because of cost reduction and ease of maintenance and scaling. Plus, the initial setup was super easy. I'm really likely to recommend Databricks, and I gave it a 10 out of 10 on the recommendation scale.

What do you dislike about the product?

Databricks could use improvement in the frontend dashboard features to better align with other BI tools. Also, the UI for jobs, workflows, and pipelines is cumbersome, not very helpful, and difficult to navigate.

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

Databricks solves infrastructure scaling and performance bottlenecks with traditional data warehouses. It simplifies configuration and management, making it easy to maintain and scale, while reducing costs. These features significantly enhance my workflow.

What do you like best about the product?

I like Databricks for their ability to innovate quickly and deliver products to the market at a fast pace. The way they have developed products like Genie and agent bricks and continuously matured them is quite impressive. I appreciate how they integrate with other tools, especially in AI and BI dashboards. Building dashboards directly in Databricks instead of using external partners is helpful. The integration ecosystem with Unity catalog, which centralizes governance, is also impressive. Additionally, the support from Databricks during setup was smooth and the dedicated support team continues to be very helpful, especially in expanding our AI capabilities.

What do you dislike about the product?

Too many products to address similar problems at times creates confusion

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

Databricks helps us be AI-ready by providing a curated data platform and surfacing data in natural language, which improves accessibility and usability for end-users.

What do you like best about the product?

I really enjoyed the development experience. The real-time collaboration features and the integration with repositories make teamwork feel incredibly seamless, which is great.

What do you dislike about the product?

Migration works well alongside the proprietary platform, but Unity Catalog also strongly ties me to their business model.

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

Without a doubt, this is a powerful tool for modern data engineering. I was able to solve issues by turning slow pipelines into more robust, reliable processes, and so far everything has been running smoothly.

What do you like best about the product?

The things I loved the most in Databricks is the lakebase. It allows me to use the database like Postgres, which is a less burden to maintain a self-hosted Postgres.

What do you dislike about the product?

the price structure of the service they provide

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

It is solving me to maintain a huge data and its processing which help me to manage the data loads

What do you like best about the product?

I like the integration of machine learning with an optimized workflow in Databricks. The team collaboration capabilities are excellent, and the real-time collaboration feature is incredibly valuable, especially for teams working remotely. The initial setup was simple and efficient.

What do you dislike about the product?

The documentation and support for Databricks could be better. Sometimes, it's hard to find answers or examples on specific functionalities.

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

Databricks integrates and unifies data from diverse platforms, simplifying connectivity, and provides robust data transformation, machine learning integration, and excellent team collaboration, especially in remote environments.

What do you like best about the product?

I like the interface and the schema of Databricks. The exposed APIs and robust export mechanisms make it really convenient to synchronize with cloud storage, which is a big plus for me. The initial setup was simple as well, and I find this combination of features very appealing.

What do you dislike about the product?

Although the complexity of native CI pipelines has improved considerably, optimizing them further still requires a steep technical learning curve.

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

Databricks resolves our data governance issues, compensating for infrastructure problems and effectively structuring code and cost policies.