Scaling the Lakehouse
February 17, 2026

Scaling the Lakehouse

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Azure Databricks

Azure Databricks is used for Data Analytics, Modelling and AI/ML uses cases in our analytics architecture. Analytics modelling from Non-SAP Sources like Partner Portal, Microsoft Dynamics CRM, Oracle DB are done using Azure Databricks. For the AI/ML use cases on Manufacturing Defect support is implemented using Azure Databricks in our organization

Pros

  • Unity Catalog
  • Data Federation in Lakehouse Architecture
  • Integration of Mosaic AI in the SQL Layer

Cons

  • Data Orchestration limitations compared to Azure Data Factory
  • Limitations in Native Modelling Features
  • Integration with SAP Sources need SAP Datasphere
  • Integrated ML Flow has reduced the modelling time
  • Reduction on the Data load time because of Lakehouse
  • Better Integration with SAP is needed to avoid tools like Datasphere
The developers are able to switch between Python and SQL in the Notebook which allows the collaboration of SQL analyst and Data scientist. The integration of Mosaic AI allows users to write complex codes in natural languages. Unity catalog has centralized the security and governance features and simplified the process of maintaining it.
When compared with Snowflake, Azure Databricks have an edge over the integration with ML Flow. ETL in Azure Databricks allows high processing of data compared to Snowflake. Data sharing is better with Snowflake. When compared with Datasphere, integration of Databricks with non-sap sources is better where as Datasphere is good with integration of SAP sources like ECC, HANA..etc. Datasphere can understand SAP business data like hierarchies, text and currencies etc.

Do you think Azure Databricks delivers good value for the price?

Yes

Are you happy with Azure Databricks's feature set?

Yes

Did Azure Databricks live up to sales and marketing promises?

Yes

Did implementation of Azure Databricks go as expected?

Yes

Would you buy Azure Databricks again?

Yes

Azure Databricks is well suited for scenarios where AI/ML uses cases are present on top of the Analytics Models. The Integration of LLM Models with SQL is good with Azure Data Bricks. The costing model needs simplification. The Integration of SAP Source systems are not straight forward, this mandates the licensing cost for Datasphere in the Architecture

Azure Databricks Feature Ratings

8.0
Connect to Multiple Data Sources
5
Extend Existing Data Sources
9
Automatic Data Format Detection
9
MDM Integration
9
4.0
Visualization
4
Interactive Data Analysis
Not Rated
9.5
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Data Encryption
9
Built-in Processors
9
9.0
Multiple Model Development Languages and Tools
9
Automated Machine Learning
9
Single platform for multiple model development
9
Self-Service Model Delivery
9
9.0
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
9

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