External reviews
External reviews are not included in the AWS star rating for the product.
It's great
What do you like best about the product?
I have been using jupyter notebooks to run models on databricks and I haven't explored everything else.
What do you dislike about the product?
I haven't explored everything yet so I don't have anything specific in mind.
What problems is the product solving and how is that benefiting you?
It helps run machine learning models on large scale. I'm benefiting the most from parallel processing.
- Leave a Comment |
- Mark review as helpful
I have 6 months of experience in using databricks products
What do you like best about the product?
1. Machine learning end to end support
2. Big data democration and collaboration
3. Detailed documentation
4. Good good security
2. Big data democration and collaboration
3. Detailed documentation
4. Good good security
What do you dislike about the product?
1. Steep learning curve
2. High cost to use
2. High cost to use
What problems is the product solving and how is that benefiting you?
We migrate our existing big data pipeline from AWS EWR to lakehouse and get rid of the dependency on the gluecontext, which is performing really well when running on the Lakehouse platform.
Great platform for our company needs!
What do you like best about the product?
It's helpful with ingesting different data from various sources. Helps to have all workflows centralized!
What do you dislike about the product?
There's still a learning curve if you're someone new, like myself.
What problems is the product solving and how is that benefiting you?
It solved what SQL could not handle, the constant need for continuous data ingestion.
Ease of use for EDA and modeling with room for efficiency to improve
What do you like best about the product?
Easy to work with and create derived EDA
What do you dislike about the product?
Version control integration, cluster management/failures, DBR migrations
What problems is the product solving and how is that benefiting you?
Makes it easy for everyone to work with and share the same data to build systems, but it comes at the cost of idle time
Best Data solution on Cloud
What do you like best about the product?
Unity Catalog is most exciting thing in databricks and like the dashboards and other ML flow options with Databricks. When its solving problem for both real time and batch.
What do you dislike about the product?
The overall compute and cluster takes time to come to live before performing any spark or SQL operations , so there has to be a way to improve the overall performence
What problems is the product solving and how is that benefiting you?
This is for the most of the cases with self service and other ML flow options and there has always its asking for self service and data security with role based access
Great & simple
What do you like best about the product?
No Data hoping. Tru Unified Data Platform.
What do you dislike about the product?
UI experience can be improved to have unified screen for compute for warehouse or workspace
What problems is the product solving and how is that benefiting you?
Unified Data Solution
SQL capabilities with AI/ML Flair!
What do you like best about the product?
Open platform with several supporting capabilities supporting many personas. The company is eager to listen and innovate to help you achieve your goals
What do you dislike about the product?
Unity catalog is powerful but seems to have been released too soon. SQL Editor UI
What problems is the product solving and how is that benefiting you?
Eliminating the need to replicate data for both Data Science and analytics workloads.
Databricks Lakehouse is awesome!
What do you like best about the product?
Databricks offers a full stack solution for any data engineers (MLflow, ApacheSpark, Delta lake). One can you use Databricks for all data needs.
What do you dislike about the product?
Cant wait for Lakehouse IQ to launch which will make it easier for non technical individuals using the platform. Currently it will require some knowledge of data
What problems is the product solving and how is that benefiting you?
Delta lake allows different types of data.
Databricks is the best Data Engineering product I've used.
What do you like best about the product?
The Lakehouse platform is an intuitive platform that makes data ingestion and consumption easy.
What do you dislike about the product?
The Databricks Lakehouse Platform requires you to not like doing things the old hard way.
What problems is the product solving and how is that benefiting you?
The platform is allowing us to scale our tools and data along with our company as we grow.
Best all-in-one data platform
What do you like best about the product?
It's a solid solution for Apache Spark and has excellent performance
What do you dislike about the product?
Clusters often take up a lot of time to start up.
What problems is the product solving and how is that benefiting you?
I like it for the ease of querying data
showing 151 - 160