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description: Get detailed information about Azure Databricks usability, features, price, benefits and disadvantages from verified user experiences. Read reviews and discover similar tools on Capterra Israel.
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title: Azure Databricks Price, Reviews & Ratings - Capterra Israel 2026
---

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# Azure Databricks

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> Cloud-based data analytics tool that offers data scientists environments for developing data-intensive applications on a centralized pl
> 
> Verdict: Rated **4.7/5** by 10 users. Top-rated for **Likelihood to recommend**.

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## Overview

### Who Uses Azure Databricks?

Azure Databricks provides an interactive workspace that promotes collaboration between data engineers, data scientists, and machine learning engineers.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.7/5** | 10 Reviews |
| Ease of Use | 4.7/5 | Based on overall reviews |
| Customer Support Software | 4.5/5 | Based on overall reviews |
| Value for Money | 4.1/5 | Based on overall reviews |
| Features | 4.6/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Microsoft
- **Location**: Redmond, US
- **Founded**: 1975

## Commercial Context

- **Pricing model**:  (Free version available)
- **Pricing Details**: Prices vary according to the plan.
- **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**: Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Swedish
- **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antarctica, Antigua & Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus and 229 more

## Features

- Data Visualization Software

## Support Options

- Email/Help Desk
- Chat

## Category

- [Machine Learning Software](https://www.capterra.co.il/directory/31103/machine-learning/software)

## Alternatives

1. [Saturn Cloud](https://www.capterra.co.il/software/1039147/saturn-cloud) — 4.7/5 (11 reviews)
2. [SAP Data Intelligence](https://www.capterra.co.il/software/170402/sap-leonardo-machine-learning) — 3.8/5 (5 reviews)
3. [Monolith](https://www.capterra.co.il/software/1020667/monolith) — 5.0/5 (1 reviews)
4. [Toloka](https://www.capterra.co.il/software/1048561/toloka) — 4.4/5 (5 reviews)
5. [Create ML](https://www.capterra.co.il/software/1025424/create-ml) — 4.0/5 (1 reviews)

## Reviews

### "High-Performance Analytics for Modern Data Teams" — 5.0/5

> **Wealth** | *31 March 2026* | Financial Services Software | Recommendation rating: 9.0/10
> 
> **Pros**: Seamless integration with Azure ecosystem and other cloud services.&#10;Excellent performance and speed for large-scale data processing.&#10;Flexible environment for both data engineering and data science workloads.&#10;Strong support for Spark-based analytics and collaborative workflows.
> 
> **Cons**: Steeper learning curve for beginners without Spark experience.&#10;Pricing can be high for smaller teams or experimental projects.&#10;Some advanced features require additional configuration or expertise.
> 
> Azure Databricks provides a robust platform for big data analytics and machine learning. Its performance and scalability make it ideal for enterprise-level data processing, and the integration with Azure services streamlines workflows. While it may feel complex initially, the productivity gains and flexibility it offers make it worth adopting.

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### "Prons & Cons of Azure Databricks" — 5.0/5

> **Verified Reviewer** | *9 January 2026* | Information Technology & Services | Recommendation rating: 10.0/10
> 
> **Pros**: Azure Databricks supporrs for different language like SQl, Python, and, Java etc. Its easy to use for new beginners and supports for git and devops integration make it more flexible to work in big projects. &#10;&#10;&#10;Azure Databricks supports for reporting and machine learning make it compatible amd unified platform where all developers, analyst, and data scientists can work at same platform therefore reducing cost.
> 
> **Cons**: Azure Databricks processing engine habe some bugs like null value if timestamp column provided as other data type column. So its need to be fixed. &#10;&#10;Azure Databricks high cost for dashboarding and ingesting data from cloud and on premises data.
> 
> Overall, Azure Databricks is great platform for data ingesting, processing and dashboarding with  highly optmized engines and supports for various inbuild features.

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### "Databricks for data world" — 5.0/5

> **Tej** | *13 April 2024* | Information Technology & Services | Recommendation rating: 9.0/10
> 
> **Pros**: It provides some key features like workspace, notebook, Apache spark, Delta Lake, and Scalability. It provides a centralized environment where teams can collaborate. We can work on Jupyter Notebook with Apache Spark which provides the engine that powers all processing of dataset. It provides Cross-team collaboration so engineers, analysts, scientists, and ML engineers can work seamlessly on the same platform. It also provides consistency with notebooks, users can transition between tasks and programming languages without the need for context-switching.
> 
> **Cons**: In this Databricks platform, we can't migrate a library from the dev workspace to the prod workspace.
> 
> It provides simplifies the data journey by providing a single solution for data engineering, analytics, and machine learning.&#10;It Handles large datasets effortlessly for data processing and analysis tasks.&#10;It provides integration with other tools for data preparation, real-time processing, and advanced analytics.&#10;It provides scalability, cost-efficiency, and robust security features to ensure that businesses can manage their data with compliance and regulation.

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### "Harnessing Data Powerhouse with Azure Databricks" — 5.0/5

> **Samuel** | *18 May 2023* | Telecommunications | Recommendation rating: 8.0/10
> 
> **Pros**: Masterclass in Machine Learning Capabilities, Big Data Analytics, and Seamless Azure Integration with Admirable Speed and Efficiency.
> 
> **Cons**: Falls short in language versatility and default storage capacity; requires a learning curve and strategic planning for potential data overload.
> 
> A powerful data processing and analytics solution offering comprehensive machine learning capabilities.

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### "Azure databricks : Not just a Paas tool" — 4.0/5

> **Pranshu** | *19 January 2024* | Information Technology & Services | Recommendation rating: 7.0/10
> 
> **Pros**: What I have come to love most about this tool is runs on most popular and best in class spark environment. The most sincere availability of cloud infrastructure is undoubtedly a big concern when you are dealing with multi node/cluster distributed programming. It also supports multi language supporting scala, pyspark, spark sql. Super useful.
> 
> **Cons**: All things said, there are still few areas where azure databricks can improve upon. For instance, the pipeline orchestration is still pretty primitive as compared to its competitors. They are lacking most of most common features.

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## Links

- [View on Capterra](https://www.capterra.co.il/software/1025369/azure-databricks)

## This page is available in the following languages

| Locale | URL |
| en | <https://www.capterra.com/p/246719/Azure-Databricks/> |
| en-AE | <https://www.capterra.ae/software/1025369/azure-databricks> |
| en-AU | <https://www.capterra.com.au/software/1025369/azure-databricks> |
| en-CA | <https://www.capterra.ca/software/1025369/azure-databricks> |
| en-GB | <https://www.capterra.co.uk/software/1025369/azure-databricks> |
| en-IE | <https://www.capterra.ie/software/1025369/azure-databricks> |
| en-IL | <https://www.capterra.co.il/software/1025369/azure-databricks> |
| en-IN | <https://www.capterra.in/software/1025369/azure-databricks> |
| en-NZ | <https://www.capterra.co.nz/software/1025369/azure-databricks> |
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