Databricks Data Intelligence Platform
Databricks, Inc.External reviews
640 reviews
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Good experience using the platform
What do you like best about the product?
How easy and familiar it is to use. Recently started using and was able to pick it up quickly.
What do you dislike about the product?
The menu on the left side and and the difficulty connecting to powerbi
What problems is the product solving and how is that benefiting you?
Getting live data connecting to reporting
Excellent Experience with Databricks: Enabling efficient data analytics and insights
What do you like best about the product?
Databricks’ platform is a powerful collaborative tool which allows teams to work together seamlessly on data projects. The integrated environment for data processing and analytics, along with its user-friendly interface, makes it easy to visualize insights and share findings in real time.
What do you dislike about the product?
The occasional complexity in managing multiple clusters and environments, which can lead to confusion regarding resource allocation. Additionally, the learning curve for new users can be steep, making it a challenge for organizational adoption.
What problems is the product solving and how is that benefiting you?
Databricks is solving the challenges of data integration and analysis by providing a unified platform that streamlines data processing and collaboration. This is enabling quicker access to insights from diverse data sources, improving productivity and decision making.
Databricks is awsome
What do you like best about the product?
Full integrations, from ingestion to presentation
What do you dislike about the product?
Nothing it’s great. But the menu could be better
What problems is the product solving and how is that benefiting you?
Using apps has solved many problems that were otherwise impossible
Databricks makes Data Intelligent
What do you like best about the product?
Open, Integrated, and fast evolvement
What do you dislike about the product?
Databricks RAG service need some improvements to make more performing.
What problems is the product solving and how is that benefiting you?
Data cataloging with Unity catalog to help data discovery and management. AI model servings.
Great
What do you like best about the product?
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
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
What do you dislike about the product?
Databricks: Powerful, but often kind of pricey…
What problems is the product solving and how is that benefiting you?
Solving mission needs in a secure and robust package
Databricks lakehouse
What do you like best about the product?
Data lakehouse provide a frameworks to store all your data in a better way to apply analytics and Gen AI use cases
What do you dislike about the product?
Not I couldn’t think of one. Databricks has a great platform
What problems is the product solving and how is that benefiting you?
Data governance , scalability
the unified data platform
What do you like best about the product?
The fact rhat it has all the services needed to manage data lifecycle
What do you dislike about the product?
Maybe costs for customers sometimes are high
What problems is the product solving and how is that benefiting you?
It gives all the tools to manage data lifecyle for my clients
Best data platform tool
What do you like best about the product?
Unified catalog and compute. Flexible tools to tail several use cases.
What do you dislike about the product?
Learn curve is high and more tailored for data engineers and not business users.
What problems is the product solving and how is that benefiting you?
It unified the data cataloging and computing in a central platform.
Data Excellency in the flesh
What do you like best about the product?
Lowering the barriers to entry for ETL and data cleaning and AI so I'm focused most on data science success
What do you dislike about the product?
Databricks AI agent isn't as good as Claude or ChatGPT or Gemini.
What problems is the product solving and how is that benefiting you?
Centralization of data with ease of access by data science teams . Managing ML models. Regular time consuming scripts for big analysis
Its a gery good and efficient product
What do you like best about the product?
Databricks data intelligence platform is very unique and interesting product, it is very efficient and makes running programs so much faster and easier. Over the cost-efficient price and the uses of this platform bring so appealing is what made me choose this product.
What do you dislike about the product?
Someone I disliked about Databricks Data Intelligence Platform is it is a big slow at times when multiple users are using it which could be worked on.
What problems is the product solving and how is that benefiting you?
1. Data Silos and Fragmentation
• Problem: Data spread across multiple systems (e.g., data warehouses, data lakes, databases) creates silos and delays insights.
• Databricks Solution: A unified data platform that supports both data lakes and data warehouses (aka Lakehouse Architecture), allowing for a single source of truth.
2. Slow and Complex Data Processing
• Problem: Legacy tools struggle with big data, streaming, or real-time analytics.
• Databricks Solution: Leverages Apache Spark for scalable and high-performance processing of batch and streaming data.
• Problem: Data spread across multiple systems (e.g., data warehouses, data lakes, databases) creates silos and delays insights.
• Databricks Solution: A unified data platform that supports both data lakes and data warehouses (aka Lakehouse Architecture), allowing for a single source of truth.
2. Slow and Complex Data Processing
• Problem: Legacy tools struggle with big data, streaming, or real-time analytics.
• Databricks Solution: Leverages Apache Spark for scalable and high-performance processing of batch and streaming data.
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