Azure Databricks pros and cons

Name: Azure Databricks
Brand: Microsoft
Rating: 3.9 (5 reviews)

Vendor: Microsoft

3.9 out of 5

5 reviews
80% willing to recommend

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Pros & Cons summary

Azure Databricks excels in handling big data and machine learning with fast processing and flexibility, supporting diverse data types. Users appreciate the manageable learning curve for cloud-based tools. However, the platform's high cost compared to other options is a concern, with potential mismatch in functionalities leading to dissatisfaction. For projects with lower data volume, Azure Fabric services might offer better cost-effectiveness than Databricks. Pricing remains a significant consideration for tech buyers.

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Prominent pros & cons

PROS

Azure Databricks is highly praised for its capability to handle extensive big data and machine learning use cases.

The platform is noted for providing fast processing and flexibility, supporting multiple data types.

Users find the learning curve manageable, especially for those new to cloud-based data engineering tools.

Pipeline processing times are significantly reduced, showcasing a substantial performance improvement over traditional ETL tools.

Azure Databricks is considered an excellent choice for data products, highlighting its strong conceptual framework.

CONS

Pricing and cost of Azure Databricks is a common concern for users.

Its cost is considered high compared to other options.

Users may find a mismatch between the application's functionalities and their needs, leading to dissatisfaction.

Cost-effectiveness is a significant friction point, particularly for projects with less data volume.

Azure Fabric services are recommended for low volume processing as a more suitable option.

Azure Databricks Pros review quotes

Pugazhendhi Manoharan

Sr. Azure Data Architect at TCS

May 26, 2026

My pipelines are now significantly faster compared to older ETL tools, as what used to take over 12 to 14 hours to process 2 GB of source data in Synapse Analytics now completes within 5 hours using the Azure Databricks framework for the transformation part, illustrating a substantial improvement in performance.

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VishnuReddy2

Consulting Enterprise Architect at R2V2.ai

Jan 31, 2026

Azure Databricks gives the capability to handle a lot of big data use cases and machine learning use cases, but machine learning use cases need quite a lot of compute power, and that is where the cost spikes up.

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SyedHaider

Senior Business Intelligence Consultant at Stellar Consulting Group

Mar 3, 2026

Regarding the learning curve, it is a good technology; it is the first time I am working on a cloud platform, and before that, I have not worked on any data engineering tool that is on cloud, so it is good learning.

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Dung_Le

Senior Software Engineering at Bosch

Apr 8, 2026

The concept of Azure Databricks is a very good one, especially for the data products concept and idea.

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Azure Databricks Cons review quotes

Pugazhendhi Manoharan

Sr. Azure Data Architect at TCS

May 26, 2026

The biggest friction point I have experienced with Azure Databricks is its cost-effectiveness; for projects with less data volume, it is advisable to use Azure Fabric services instead, as Azure Databricks may not be suitable for low volume processing.

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VishnuReddy2

Consulting Enterprise Architect at R2V2.ai

Jan 31, 2026

At this point, I cannot comment on the cost being ideal; it is on the higher side, but in the cloud-based environment, compared to on-premise, it could be far lesser in cost.

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SyedHaider

Senior Business Intelligence Consultant at Stellar Consulting Group

Mar 3, 2026

I have given the product a rating of six out of ten just because I do not use all of the functionalities, and I see some direction for improvement as well; also, every product has something to improve, and I have not used many features in this product.

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Dung_Le

Senior Software Engineering at Bosch

Apr 8, 2026

The only concern is perhaps related to the pricing and cost that Azure Databricks incurs.