# What are the features of Databricks?

What are the features of Databricks?

##### Post Metadata
- Posted at: about 4 years ago
- Author title: Pinned by G2 as a common question
- Net upvotes: 2


## Comments
### Comment 1

It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which compress the data to great extent.
Its easier to debug the ETL pipeline using notebooks as compared to traditional ETL pipeline created using SSIS or Informatica.
Data Migration or ETL pipeline executes faster as compared to other ETLs

##### Comment Metadata
- Posted at: over 2 years ago
- Author title: SQL/SSIS/MSBI/DWH developer
- Net upvotes: 1


### Comment 2

Databricks is a unified data platform that combines data engineering (Delta Lake, DLT, Lakeflow Connect), data governance (Unity Catalog with lineage, RBAC, and column masking), workflow orchestration (Lakeflow Jobs), serverless SQL analytics, ML/AI capabilities (MLflow, Model Serving), and automated data quality monitoring - all running on a Spark + Photon compute engine with serverless and cluster-based options.

##### Comment Metadata
- Posted at: 3 months ago
- Author title: Senior Data Engineer



### Comment 3

Main features of Databricks are:

Compliance
End to end
Notification and logs
Jobs scheduler
Access control
Visualization
Run notebook as job
Integration
Interactive exploration
Secure deployment
Notebook workflows
Integrated identity management
Collaboration
Auditing
Dashboard
Databricks runtime

##### Comment Metadata
- Posted at: over 3 years ago
- Author title: System Administrator



### Comment 4

Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & Transformations

##### Comment Metadata
- Posted at: about 4 years ago
- Author title: BigData Solution Architect




## Related Product
[Databricks](https://www.g2.com/products/databricks/reviews)

## Related Category
[Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

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