Azure Databricks
June 03, 2022

Azure Databricks

Gorthy Rohith | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Azure Data Factory

Orchestration platform for the Databricks notebooks. Have used an ETL for loading csv files into SQL server based database.
  • Orchestration engine
  • Low code Data pipeline
  • Logic apps integration
  • Error Flagging, Details of the error code is not specific especially faced this during Azure Table load
  • Missing feature of Data exploration functionality similar to Synapse Data explorer
  • missing access to orchestrate/create stream analytics job
  • No Code / Low Code Easier development
  • Easier Orchestration Platform
  • Lot of different services available for plug in connect
Easier UI, Pipelines & Dataflows with various different sources.

Do you think Azure Data Factory delivers good value for the price?

Yes

Are you happy with Azure Data Factory's feature set?

Yes

Did Azure Data Factory live up to sales and marketing promises?

Yes

Did implementation of Azure Data Factory go as expected?

Yes

Would you buy Azure Data Factory again?

Yes

Azure Synapse Analytics (Azure SQL Data Warehouse), Databricks Lakehouse Platform (Unified Analytics Platform), Azure Blob Storage
Well Suited:

  • Offers low code/no code features executes against spark pool.
  • Batch processing features, Tight coupling with Databricks & ETL jobs.
  • Offers Logic apps & Azure functions invoking API.
Less Appropriate:

  • Not much inherent features of Stream analytics (Liasing Azure Stream analytics to DF might be good option).
  • Advanced load options viz . Upsert type operations missing.

Azure Data Factory Feature Ratings

Connect to traditional data sources
9
Connecto to Big Data and NoSQL
9
Simple transformations
9
Complex transformations
6
Data model creation
9
Metadata management
9
Business rules and workflow
9
Collaboration
9
Testing and debugging
9
Integration with data quality tools
7
Integration with MDM tools
8