Databricks Reviews

Our primary use case for this solution is for data ingestion and the DQ rules we are implementing. We deploy the solution on Azure cloud.

Whenever we send data to downstream applications for creating a file, multiple business rules are involved, and this solution assists with quickly computing a considerable amount of historical data.

Its lightweight and fast processing are valuable.

The product could include some UI features to improve the ease of use, like drag and drop for a few aggregated functions. Additionally, the Databricks cluster can be improved.

We have been using Databricks for approximately two years and are currently using the latest version.

The solution is very stable. However, sometimes it intermittently restarts. I rate the stability an eight out of ten.

The solution is scalable, and we are trying to implement more use cases with Databricks in our organization as we advance. I rate the scalability an eight out of ten.

I rate customer service and support a nine out of ten.

Positive

The initial setup was not very complex. We deploy the solution manually and the time required depends on the complexity of the business logic. I rate it an eight out of ten.

We implemented the solution through an in-house team.

I rate the solution an eight out of ten.

Databricks is the full data analytics platform. It involves end to end data analytics process.

Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution.

Databricks could improve in some of its functionality.

I have been using Databricks for approximately a year and a half.

Databricks is very stable.

The scalability of Databricks is good.

We have 30 to 40 people are using this solution in my company.

I rate Databricks a nine out of ten.

We use the product as a data science platform that enables me to handle and analyze large datasets efficiently.

Databricks can switch easily between cloud providers, such as Azure and GCP. It allows seamless integration with various data platforms and cloud providers, facilitating better data handling and analysis.

The product could be improved regarding the delay when switching to higher-performing virtual machines compared to other platforms like Snowflake. The ease and speed of managing clusters can also be enhanced, especially when scaling up resources. They could add more advanced data storage solutions like Iceberg and Delta files.

I have been using Databricks for approximately two years.

I rate the product stability a seven out of ten. 

I rate the product scalability an eight. 

The technical support services are good. 

Positive

The initial setup was straightforward. However, configuring policies could have been simpler.

The product pricing is moderate. 

I evaluated other options, including Snowflake, before choosing Databricks.

Databricks is a robust solution for big data processing, offering flexibility and powerful features. While there are areas for improvement, especially in performance and cluster management, it remains a highly valuable tool in my data science toolkit.

 I rate it a seven.