Databricks Data Intelligence Platform Reviews & Product Details - Page 7

What do you like best about Databricks Data Intelligence Platform?

the most helpful feature is unity catalog (data governance) and sql warehouse Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

now a days nothing, it is already too enhanced Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

First, I like its integration with Microsoft Azure. Second, I like the computing power of the Spark clusters. Third, I like the ML library implementations. Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

Occasionally, IT jobs fail because clusters could not start or crashed in the middle of a job execution. This is not necessarily Databricks' fault. Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

- It has an excellent connection with the MLFlow system which guarantees that our clients have access to creation, management, monitoring and progress in Machine Learning.

- It offers professional processes to manage the clients infrastructure and manage all the clusters, all this can be done from the cloud and saves time in collecting data from the clusters.

- We can link several data sources perfectly and simultaneously, this helps collect all the data of our clients in a safe and automated manner, without going through complex data registration process, we can collect a large volume of data easily. Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

Databricks never gave us any type of negative experience, at all times it was able to offer management, data storage and collection of large volumes of data. With Databricks, our MSP-type functions have improved and have never had any failures collecting all the data of our clients who access IT services. Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

The user interface is very easy to use and simple of databricks and navigation is also simple which helps you to do the things quickly Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

Customer support need to improve and they need to recruit people in their team from Asia to overcome the regional language issue Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

The platform is intelligent and helps me right queries it is good for the business use case Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

I still restart the AI functionality is improved with fullest Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

I like how easy it is to seamlessly load data and also the ai facility to attach data. Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

Least helpful currently i guess is lineage for me. It dosent give good lineage diagram Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

The data integrator with the different platform. And the control Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

The cost is not the best, and when you have to sell to the company, it's complicated. Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

Databricks is an excellent platform that seamlessly integrates data and AI, serving as a powerful ally for organizations seeking advanced analytics and intelligent automation. Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

I do not dislike it, Its a great platform. Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

I like the way Databricks does data management, all in one place. What it does is it unites the data engineers and data scientists on the same platform to collaborate and solve problems quickly. Scaling became effortless thanks to the integration with tools like AWS, as well as keeping up with the progress in the notes continues to keep us all on the same page in the notes. It’s helped remove communication issues and it’s helped take care of things faster. Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

Databricks has one downside and that is the learning curve, especially for people that want to get started with a more complex configuration. We spent some time troubleshooting the setup, and it’s not the easiest one to begin with. The pricing model is also a little unclear, so it isn’t as easy to predict cost as your usage gets bigger. At times that has led to some unforeseen expenses that we might have cut if we had better cost visibility. Review collected by and hosted on G2.com.

What do you like best about Databricks Data Intelligence Platform?

Databricks has the great ability to handle streaming data and integrate with Kafka. This is an essential feature for our organisation as we used Databricks to enhance our real time fraud detection system in the financial service sector. This has improved security and reduced fraud activities. The real time processing capabilities were also a crucial feature for our use case. Databricks also support multiple languages development, which is a key benefit for our organisation as we have both Python and Scala developers. Review collected by and hosted on G2.com.

What do you dislike about Databricks Data Intelligence Platform?

During a critical phase of the project, we faced few challenges while optimising our Spark jobs. The user interface for cluster management could be improved, as we occasionally face delays when scaling clusters to handle large workloads. Review collected by and hosted on G2.com.