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  1. Home
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  3. Databricks AI/BI
Logo of Databricks AI/BI

Databricks AI/BI

byDatabricks
in Agentic Analytics
4.5

Overview

Product Information on Databricks AI/BI

Updated 30th March 2026

What is Databricks AI/BI?

Databricks AI/BI is a software that integrates artificial intelligence and business intelligence capabilities on a unified analytics platform. The software enables organizations to analyze and visualize structured or unstructured data, generate insights, and build and deploy machine learning models. Databricks AI/BI supports collaborative data workflows by allowing data engineers, analysts, and data scientists to work together within the platform. The software automates data preparation, feature engineering, and model selection processes, and provides tools for creating interactive dashboards and reports. Databricks AI/BI addresses the business problem of transforming raw data into actionable insights by streamlining analytics and machine learning tasks within a single environment.

Databricks AI/BI Pricing

Databricks AI/BI software uses a usage-based pricing model that charges customers based on the compute and storage resources consumed. Pricing varies by edition, with options including pay-as-you-go and committed use. The software offers different tiers with features tailored to organizational requirements, and users can scale resources as needed with corresponding charges for workloads and selected support levels.

Overall experience with Databricks AI/BI

Manager
1B - 3B USD, Banking
FAVORABLE

“Strong Data Processing Capabilities Not Ideal for Low Consumption AI Use Cases”

4.0
Mar 30, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
There are no reviews in this category.
CRITICAL

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 3rd August 2026

Databricks is a data and AI company built on the open lakehouse architecture. The Databricks Data and AI Platform gives data engineering, analytics, machine learning, and AI teams a single place to work, governed by a unified security and data layer called Unity Catalog. The platform is built on open source foundations, Apache Spark, Delta Lake, and MLflow among them, which means organizations avoid vendor lock-in and can run on AWS, Azure, or Google Cloud. Customers use Databricks to find and treat diseases and cancer earlier, identify new approaches to combating climate change, detect financial fraud in real time, accelerate pharmaceutical development, reduce time to mental health intervention, and address local financial inequality. The platform is designed for organizations that want a single foundation for both their data warehouse and their AI workloads, rather than stitching together separate tools for each.

Company Details

Updated 3rd August 2026
Company type
Private
Year Founded
2013
Head office location
San Francisco, United States
Number of employees
10001+
Website
https://databricks.com

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Peer Discussions

Databricks AI/BI Reviews and Ratings

4.5

(34 Ratings)

Rating Distribution

5 Star
47%
4 Star
53%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Manager
    1B-10B USD
    Banking
    Review Source

    Strong Data Processing Capabilities Not Ideal for Low Consumption AI Use Cases

    4.0
    Mar 30, 2026
    Very suited for data intensive workloads combined with AI, but to costly for lightweight operational AI use cases. Databricks seems a strong long term candidate in the new AI age, but it needs to be complemented with other technologies that are more cost-effective for light-weight use cases.
  • Manager
    1B-10B USD
    Banking
    Review Source

    Strong Data Processing Capabilities Not Ideal for Low Consumption AI Use Cases

    4.0
    Mar 30, 2026
    Very suited for data intensive workloads combined with AI, but to costly for lightweight operational AI use cases. Databricks seems a strong long term candidate in the new AI age, but it needs to be complemented with other technologies that are more cost-effective for light-weight use cases.
  • Read All 44 Reviews

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User Sentiment About Databricks AI/BI
Reviewer Insights for: Databricks AI/BI
Deciding Factors: Databricks AI/BI Vs. Market Average
Performance of Databricks AI/BI Across Market Features

Databricks AI/BI Likes & Dislikes

Like

Strong compute for data intensive workloads. It can process large volumes of data quickly for follow up tasks like insights or agentic decision making. The suite is also quite complete (not fully). With MLFlow a quick and easy development studio can be set up, while unity catalog allows fine grained enterprise wide data sharing.

Like

Strong compute for data intensive workloads. It can process large volumes of data quickly for follow up tasks like insights or agentic decision making. The suite is also quite complete (not fully). With MLFlow a quick and easy development studio can be set up, while unity catalog allows fine grained enterprise wide data sharing.

Like

Strong compute for data intensive workloads. It can process large volumes of data quickly for follow up tasks like insights or agentic decision making. The suite is also quite complete (not fully). With MLFlow a quick and easy development studio can be set up, while unity catalog allows fine grained enterprise wide data sharing.