# Databricks Software Reviews, Demo & Pricing - 2026

> Review of Databricks Software: system overview, features, price and cost information. Get free demos and compare to similar programs.

Source: https://www.softwareadvice.com/product/455330-Databricks/

---

[Home](https://www.softwareadvice.com/)

/

[Data Analysis Software](https://www.softwareadvice.com/bi/data-analysis-comparison/)

/

Databricks

Software Advice offers objective insights based on verified user reviews and independent product and market research. When our advisors match you to a software provider, we may earn a referral fee.

Overview

# Databricks Review

From $99/month Free version Free trial 1 plan

Wondering if Databricks is right for your organization?

Our Data Analysis Software selection experts can help you in 15 minutes or less.

On this page

-   Overview
    
-   User Interface
    
-   Popular Alternatives
    
-   Pricing and Plans
    
-   Features
    
-   User Reviews
    

## Overview

Databricks

4.5

[(23)](https://www.softwareadvice.com/product/455330-Databricks/#reviews)

Pricing

Starting at $99.00 per feature per month

### About Databricks

Databricks is a unified platform for data and AI that supports both analytical and operational workloads on a single, governed foundation. It is used by organizations across industries such as financial services, healthcare, manufacturing, retail, media, communications and the public sector. The platform enables tasks such as building business intelligence applications, developing AI agents, processing streaming data and managing daily operations without requiring separate systems or duplicated data.

The platform includes Lakebase, a serverless Postgres database integrated with the lakehouse architecture, combining transactional reliability with analytics capabilities. Unity Catalog provides governance across data, models, dashboards and AI agents to help maintain compliance. Agent Bricks allows teams to create production-ready AI agents that operate autonomously on enterprise data. Genie offers conversational analytics through natural language interfaces. Lakeflow automates data engineering tasks, including ETL and orchestration for batch and streaming workflows. The platform also features a serverless data warehouse built on open lake data and AI-powered tools for exploring data...

and creating dashboards. Databricks supports deployment across major cloud providers such as AWS, Azure and Google Cloud Platform. It includes an open marketplace for data, analytics and AI, connecting users with a broader ecosystem. Security features include zero-copy data sharing and governance controls designed for modern AI workloads.

Wondering if Databricks is right for your organization?

Our Data Analysis Software selection experts can help you in 15 minutes or less.

## Databricks User Interface

## Popular Databricks Alternatives

Main Product

Databricks

4.5

[(23)](https://www.softwareadvice.com/product/455330-Databricks/#reviews)

Ratings Breakdown

-   4.65Ease of use
-   4.15Value for money
-   4.38Customer support
-   4.61Functionality

Pricing

Starting at $99.00 per month

Get Price

Alternative Product

[Microsoft Power BI](https://www.softwareadvice.com/bi/microsoft-power-bi-profile/)

4.6

[(1887)](https://www.softwareadvice.com/bi/microsoft-power-bi-profile/reviews/)

Ratings Breakdown

-   4.13Ease of use
-   4.41Value for money
-   4.16Customer support
-   4.49Functionality

Pricing

Starting at $10.00 per month

Get Price

Alternative Product

[Tableau](https://www.softwareadvice.com/bi/tableau-profile/)

4.6

[(2357)](https://www.softwareadvice.com/bi/tableau-profile/reviews/)

Ratings Breakdown

-   4.12Ease of use
-   4.20Value for money
-   4.24Customer support
-   4.49Functionality

Pricing

Starting at $15.00 per month

Get Price

Alternative Product

[Canva](https://www.softwareadvice.com/graphic-design/canva-profile/)

4.7

[(13377)](https://www.softwareadvice.com/graphic-design/canva-profile/reviews/)

Ratings Breakdown

-   4.69Ease of use
-   4.61Value for money
-   4.40Customer support
-   4.55Functionality

Pricing

Starting at $10.00 per month

Get Price

Alternative Product

[Google Analytics 360](https://www.softwareadvice.com/bi/google-analytics-profile/)

4.7

[(8099)](https://www.softwareadvice.com/bi/google-analytics-profile/reviews/)

Ratings Breakdown

-   4.16Ease of use
-   4.66Value for money
-   4.15Customer support
-   4.61Functionality

Pricing

Available upon request

Get Price

Alternative Product

[MATLAB](https://www.softwareadvice.com/bi/matlab-profile/)

4.6

[(2095)](https://www.softwareadvice.com/bi/matlab-profile/reviews/)

Ratings Breakdown

-   4.01Ease of use
-   4.17Value for money
-   4.22Customer support
-   4.59Functionality

Pricing

Starting at $203.63 per year

Get Price

## Databricks Pricing and Plans

Starting price: $99.00 per month

Free Trial

Free Version

Basic

$99.00

per feature, per month

No plan information available

Confused about pricing? We've got you covered.

Get a personalized pricing breakdown tailored to your specific needs—no guesswork, no generic estimates.

## Databricks Features

-   Popular features found in Data Analysis
    
    Data Discovery
    
    Data Visualization
    
    Natural Language Search
    
    Predictive Analytics
    
    Query Builder
    
    Storytelling
    
-   More features of Databricks
    
    API
    
    Business Intelligence
    
    Collaboration Tools
    
    Compliance Management
    
    Customizable Dashboard
    
    Dashboard
    
    Dashboard Creation
    
    Data Capture and Transfer
    
    Data Governance
    
    Data Management
    
    Data Security
    
    Data Storage Management
    
    Data Transformation
    
    Data Warehousing
    
    Generative AI
    
    Information Governance
    
    Machine Learning
    
    Monitoring
    
    Natural Language Processing
    
    Reporting/Analytics
    
    Self Service Data Preparation
    
    Version Control
    
    Visual Analytics
    

## Databricks User Reviews

Overall Rating

4.5

Ratings Breakdown

5

61%

4

30%

3

9%

2

0%

1

0%

Secondary Ratings

Ease of Use

4.7

Value for money

4.2

Customer support

4.4

Functionality

4.6

Have you used Databricks and would like to share your experience with others?

Wealth A.

Verified reviewer

Financial Services

10000+ employees

Used daily for less than 12 months

Review source

Reviewed March 2026

Reliable and Scalable Data Platform That Improves Workflow Efficiency

4

From my experience, Databricks has been a very solid platform, especially for working with large datasets and building data pipelines. I use it mainly for querying, transforming, and analyzing data, and it has significantly improved performance compared to traditional database tools. It’s particularly useful when dealing with complex data workflows and large volumes of data. That said, there is a bit of a learning curve, and managing costs requires some attention as usage grows. Overall, it’s a reliable and powerful tool that has made data work more efficient and scalable for me.

Ratings Breakdown

4

Ease of use

4

Value for money

4

Customer support

5

Functionality

Pros:

Very strong for handling large datasets and complex queries Makes data processing and transformation much faster compared to traditional tools Flexible for SQL, data engineering, and analytics workflows Integrates well with existing data pipelines and tools we already use

Cons:

Can get expensive as usage scales Initial setup and environment configuration require some technical effort The interface can feel a bit overwhelming at first, especially for new users

Reasons for switching to Databricks

The computation cost was growing at an astronomical rate.

Read More

VR

Verified

Reviewer

Information Technology and Services

10000+ employees

Used daily for more than 2 years

Review source

Reviewed October 2023

Databricks: Unleashing Data/AI Potential for Next-Level Analytics and Collaboration

4

Very good , able to created end-end lakehouse platform for leading healthcare client

Ratings Breakdown

5

Ease of use

4

Value for money

4

Customer support

4

Functionality

Pros:

unified lakehouse architecture platform with good collaborationmanaged infrastructure with autoscaling & serverless functionalityautoloader, schema evolution & delta live tablesunit catalog & delta sharing for unified governanceMLflow & integrations with partner connectVersion control databricks repos, secret with security & complianceReal time processing

Cons:

Cost & capacity planning for clusters if you don't use DLT/serverless pipelinesPerformance variabilitySome vendor lock-in if you use "DELTA" format with delta live table

Reasons for choosing Databricks

flexibility of Pyspark code migration from existing onprem Hadoop without much code changesmovement of hive metadata and integrating with unity catalog is easygood serverless support with MLFlow functionalities with Databricks serverless analysis SQL interface

Read More

VR

Verified

Reviewer

Banking

1001-5000 employees

Used weekly for less than 12 months

Review source

Reviewed September 2020

Very good to handle very big data

3

While it supports python, when I need to use it, I ultimately prefer to sample or aggregate and export data to work in another environment. For this end, it works very well.

Ratings Breakdown

5

Ease of use

4

Functionality

Pros:

\- Enables simultaneous collaborative work with colleagues - Easy to mix spark queries and python for extra analyses and plots - Handful visualization modes for query results (tables and plots with aggregations)

Cons:

\- Hard to manage notebook workspace - Sometimes it gets really slow to run queries - AFAIK, there aren't visualization options for datasets (without running queries)

Read More

Filippo C.

Verified reviewer

Marketing and Advertising

51-200 employees

Used daily for less than 2 years

Review source

Reviewed September 2023

A fantastic all-in-one-place platform for big data analytics

5

We are moving all our big data computation on the Databricks platform. One of the main advantages is the possibility to plan notebooks execution through the workflow section.

Ratings Breakdown

5

Ease of use

5

Value for money

3

Customer support

5

Functionality

Pros:

Databricks can be integrated with the most used cloud services (Amazon, Google, Microsoft) and you can create and manages computation clusters, write code and see results in a single platform instead of having multiple separate services. Its dashboard is really easy to use and allows you to focus on code development. It also supports notebooks versioning with GitLab.

Cons:

The data visualization part could really be improved.

Reasons for switching to Databricks

Databricks is much more user-friendly and offers more customizability options!

Read More

Rayla V.

Verified reviewer

Higher Education

51-200 employees

Used weekly for less than 2 years

Review source

Reviewed September 2019

Powerful tool for dev ops of machine learning models

5

Overall, my experience with Databricks has been very positive. It is a powerful tool to enable data scientists without a lot of data engineering skills. However, you need to be a data scientist or machine learning engineer to be able to take advantage of its power for machine learning.

Ratings Breakdown

4

Ease of use

4

Functionality

Pros:

I love how easy it is to deploy auto-scaling machine learning models. After a machine learning model is trained, you can just click a button to deploy the model, I believe in a container, and have it auto scale as needed. You can also specify the minimum and maximum size of the deployment to reduce costs but to keep up with the workload as necessary. It is also built around Spark, so tasks involving "big data" aren't an issue.

Cons:

Some of the cons are that the primary language is Java/Scala, whereas many data scientists are using python or R, which run slower on Databricks than Java and Scala. Also, the main interface via coding, which can limit a lot of citizen data scientists.

Reasons for switching to Databricks

I switched because Azure ML studio was too limiting, especially in terms of data and model evaluation. For example, you can do PCA in ML Studio, but you can't identify the makeup of each principal component. Databricks has a notebooking tool, so anything you can code, you can do.

Read More

VR

Verified

Reviewer

Information Technology and Services

1001-5000 employees

Used daily for less than 2 years

Review source

Reviewed January 2023

Best Big Data Analysis Platform

5

Ratings Breakdown

4

Ease of use

3

Value for money

4

Customer support

4

Functionality

Pros:

Databricks is a great platform for working with a huge amount of data. But the most interesting feature is the ability to use Magic query. Magic query allows users to write code in multiple languages in the same notebook.

Cons:

Databricks is a go-to platform for most of the analysis and processing workload, but when it comes to the financials, it becomes a little more expensive. And as a result, not a lot of the projects are reliable to be developed in Databricks.

Read More

VR

Verified

Reviewer

Telecommunications

5001-10000 employees

Used daily for more than 2 years

Review source

Reviewed March 2023

Retrieve SQL query data faster using Databricks.

4

Databricks to build datalake with ease !

Ratings Breakdown

4

Ease of use

5

Value for money

4

Customer support

4

Functionality

Pros:

Easy to use application to build data lakes to run reports on top of it. The Databricks internal architecture helps to run the reports faster.

Cons:

The data bricks features are completely wrapper and delivered as snowflake (product) . The Databricks should come up with more features to stand out in the market.

Read More

VR

Verified

Reviewer

Financial Services

1001-5000 employees

Used daily for less than 12 months

Review source

Reviewed November 2019

An unified platform to develop high quality analysis

5

Databricks is allowing data analysis that other systems could not perform at the same performance because it is a platform that integrates huge amounts of cloud data with Scala, Python, SQL or R notebooks in a user-friendly interface. Due to the features of Databricks, daily work seems more efficient and less bureaucratic.

Ratings Breakdown

5

Ease of use

4

Value for money

4

Customer support

5

Functionality

Pros:

What I like most about Databricks is the amount of integrations the platform provides to the user. With Databricks, you can create datasets, develop machine learning models, and analyze performance automatically by setting up a job periodically. Whether the user is an engineer, data scientist, or business analyst, Databricks can streamline everyone's work.

Cons:

What I least like about Databricks is the instability that usually occurs when there are too many users trying to run their notebooks on the same cluster at the same time.

Read More

VR

Verified

Reviewer

Information Technology and Services

501-1000 employees

Used daily for less than 12 months

Review source

Reviewed April 2021

Best solution for Enterprise analytics

5

I've got used to Databricks and writing PySpark codes very easily, people who are not very fluent in coding still can get valuable insights from the data using notebooks developed by data scientists. The ability of databricks to transform data and do whatever you want is powerful.

Ratings Breakdown

5

Ease of use

5

Functionality

Pros:

The infrastructure is very simple, I have started using Community edition, and then switched to the paid version, however community edition covers most of your needs if you are a student or doing one time projects.

Cons:

There are no many users of Pyspark, sometimes finding some answers is hard /there are no many forums, resources, no many questions in Stack overflow/

Read More

VR

Verified

Reviewer

Management Consulting

10000+ employees

Used daily for less than 2 years

Review source

Reviewed October 2019

Databricks Review

5

Very good. It made analyzing big data a lot easier

Ratings Breakdown

5

Ease of use

4

Value for money

5

Customer support

5

Functionality

Pros:

This product has democratized big data computation. Its very easy to move from any platform to this product as it supports most of the languages.

Cons:

Nothing so far- may be cost of computation can improve over time but still an economical product to build in-house big data capability.

Reasons for switching to Databricks

Ease of use and larger scope of features.

Read More

Showing 1 - 10 of 23 Reviews

Load More Reviews

## Other Top Recommended Data Analysis Software

[Grow](https://www.softwareadvice.com/bi/grow-profile/)

**4.4** (406)

Recently recommended **11** times

[SAP BTP](https://www.softwareadvice.com/bi/sap-btp-profile/)

**0.0** (0)

Recently recommended **8** times

[SAS Viya](https://www.softwareadvice.com/data-catalog/sas-viya-profile/)

**4.4** (12)

Recently recommended **4** times

[ThinkData Platform](https://www.softwareadvice.com/bi/thinkdata-platform-profile/)

**0.0** (0)

Recently recommended **1** times

Stuck Between Options?

Our experts can help you compare Databricks with other top options, so you can find the best fit for your needs.

## See what companies are saying about Software Advice