---
description: Detailed reviews on Databricks based on features, pricing, usability, and ratings. Get a quick overview advantages and disadvantages. Compare Databricks with similar products.
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title: Databricks Reviews, Prices & Ratings | GetApp Canada 2026
---

Breadcrumb: [Home](/) > [Data Analysis Software](/directory/1129/data-analysis/software) > [Databricks](/software/2090891/databricks)

# Databricks

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> Databricks provides a unified platform for data, analytics, and artificial intelligence that enables organizations to run analytical and operational workloads on an open, governed foundation. The platform includes features such as serverless data warehousing, ETL pipeline orchestration for batch and streaming data, AI agent development capabilities, business intelligence tools with natural language analytics, and unified governance through Unity Catalog for data, models, and dashboards.
> 
> Verdict: Rated **4.5/5** by 23 users. Top-rated for **Likelihood to recommend**.

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## Overview

### Key benefits of Databricks

Unifies data, analytics, and artificial intelligence on a single platform to streamline workflows and reduce complexity
Simplifies data engineering, warehousing, and governance with integrated tools for batch and streaming data
Enables the development and deployment of machine learning and generative AI applications grounded in reliable, real-world data
Supports open, secure data sharing and collaboration across teams and partners
Delivers intelligent analytics and natural language insights, making data exploration accessible to a wider range of users

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.5/5** | 23 Reviews |
| Ease of Use | 4.7/5 | Based on overall reviews |
| Customer Support Software | 4.4/5 | Based on overall reviews |
| Value for Money | 4.2/5 | Based on overall reviews |
| Features | 4.6/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Databricks
- **Founded**: 2013

## Commercial Context

- **Starting Price**: US$99.00
- **Pricing model**: Per Feature (Free version available) (Free Trial)
- **Pricing Details**: Starter plan, +$0.40 per Databricks unit
- **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based
- **Supported Languages**: English
- **Available Countries**: United States

## Features

- Collaboration Tools
- Compliance Management
- Customizable Dashboard
- Dashboard Software
- Data Capture and Transfer
- Data Management Software
- Data Security
- Data Storage Management
- Data Transformation
- Data Visualization Software
- Data Warehousing
- Generative AI
- Information Governance
- Machine Learning Software
- Natural Language Processing
- Reporting/Analytics
- Self Service Data Preparation
- Visual Analytics

## Support Options

- Chat

## Category

- [Data Analysis Software](https://www.getapp.ca/directory/1129/data-analysis/software)

## Related Categories

- [Data Analysis Software](https://www.getapp.ca/directory/1129/data-analysis/software)
- [Big Data Software](https://www.getapp.ca/directory/603/big-data/software)
- [Data Management Software](https://www.getapp.ca/directory/633/data-management/software)
- [Artificial Intelligence Software](https://www.getapp.ca/directory/1397/artificial-intelligence/software)
- [Business Intelligence Software](https://www.getapp.ca/directory/318/business-intelligence/software)

## Reviews

### "Reliable and Scalable Data Platform That Improves Workflow Efficiency" — 4.0/5

> **Wealth** | *March 31, 2026* | Financial Services Software | Recommendation rating: 8.0/10
> 
> **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
> 
> 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.

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### "Databricks: Unleashing Data/AI Potential for Next-Level Analytics and Collaboration" — 4.0/5

> **Verified Reviewer** | *October 2, 2023* | Information Technology & Services | Recommendation rating: 9.0/10
> 
> **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
> 
> Very good , able to created end-end lakehouse platform for leading healthcare client

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### "Very good to  handle very big data" — 3.0/5

> **Verified Reviewer** | *September 29, 2020* | Banking | Recommendation rating: 8.0/10
> 
> **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)
> 
> 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.

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### "A fantastic all-in-one-place platform for big data analytics" — 5.0/5

> **Filippo** | *September 21, 2023* | Marketing & Advertising | Recommendation rating: 10.0/10
> 
> **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.
> 
> 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.

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### "Powerful tool for dev ops of machine learning models" — 5.0/5

> **Rayla** | *September 1, 2019* | Higher Education Software | Recommendation rating: 8.0/10
> 
> **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.
> 
> 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.

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## Links

- [View on GetApp](https://www.getapp.ca/software/2090891/databricks)

## This page is available in the following languages

| Locale | URL |
| en | <https://www.getapp.com/all-software/a/databricks/> |
| en-AE | <https://www.getapp.ae/software/2090891/databricks> |
| en-AU | <https://www.getapp.com.au/software/2090891/databricks> |
| en-CA | <https://www.getapp.ca/software/2090891/databricks> |
| en-GB | <https://www.getapp.co.uk/software/2090891/databricks> |
| en-IE | <https://www.getapp.ie/software/2090891/databricks> |
| en-NZ | <https://www.getapp.co.nz/software/2090891/databricks> |
| en-SG | <https://www.getapp.sg/software/2090891/databricks> |
| en-ZA | <https://www.getapp.za.com/software/2090891/databricks> |

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