Azure Databricks is easily the best platform available today in the market for building and sharing big data solutions. Interactive notebooks with numerous features, including N number of data connectors, are the best features. Review collected by and hosted on G2.com.

I have used Azure data bricks for cleaning, sharing, and ETL data and never faced any issues. Sometimes, the error in the code could be a little ambiguous. That can be improved! Review collected by and hosted on G2.com.

- It's working well with programming Languages like python,R,SQL

- Databricks clusters are easy to setup and configuration.

- It can handles large amount of Data since it is Microsoft Azure cloud native.

- It has an active directory support Review collected by and hosted on G2.com.

- All good but it is not supporting the version management tools like Git and other.

- If we could add this it will be better for Deva.

- The price is little high Review collected by and hosted on G2.com.

Azure Databircks exceeds every other tool in the market in terms of user-friendliness. It has amazing data processing capabilities and the ease of integration is awesome! Review collected by and hosted on G2.com.

The UI/UX can be improved further. It is very easy to use. However, at times, there are issues with the UI. Scrolling is difficult for users having a small display. Review collected by and hosted on G2.com.

Azure just seems to work well, for me its not as pretty as GCP or have as many features as AWS, but its just in the middle of both and seems to just work well enough. Review collected by and hosted on G2.com.

Not a lot, I think the pricing can get very interesting fairly quickly.

We previously used Databricks on AWS and I can say for sure the cost handles are not as good as the ones on AWS. Review collected by and hosted on G2.com.

Excellent ROI, with qualitatively defined metrics Review collected by and hosted on G2.com.

Lengthy implementation with some risks on the customer Review collected by and hosted on G2.com.

The best analytics platform helps integrate and develop the different application processes. This tool helps/supports multiple data sources, which gives a strong connection for breakthrough insights. This solution is excellent for the Bigdata pipeline. Review collected by and hosted on G2.com.

Some points under this tag observe the performance and data flow slowness. The user interface is not friendly and gives more information that is not required, like suggestions and all. Review collected by and hosted on G2.com.

storage and compute decouple, running on spark architecture this is making data bricks Review collected by and hosted on G2.com.

cost is one factor, I think proper cost guide should be mentioned Review collected by and hosted on G2.com.

Compatible with Sql, pypspark and scala and has the architecture for processing big data with scalability and performance Review collected by and hosted on G2.com.

High availability of cluster spiking the cost Review collected by and hosted on G2.com.

The smooth & secure integration with Azure services like data lake, IAM, streams makes it one of the most useful services provided by azure. Not to mention, delta lake is amazing. Review collected by and hosted on G2.com.

Everything is almost good with this service except there can be more things to do visualization part. But it provides a smooth integration with power bi & tableau. Review collected by and hosted on G2.com.

Integrates easily with the whole Microsoft stack.

Suitable for small jobs too.

Documentation and support are available.

An extensive list of data sources.

Higher productivity and collaboration. Review collected by and hosted on G2.com.

It does not integrate with Git or any other versioning tool.

It currently only supports HDInsight and not Azure Batch or AZTK.

Hard to manage notebook workspace Review collected by and hosted on G2.com.