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Rapidly Improving AI Platform With Flexible Tooling
What do you like best about the product?
Scheduled jobs, pre-installed ML environments, abundance of documentation and example use cases. There are a lot of best practices available through the Spark AI conference also.
What do you dislike about the product?
Their Spark install is not always compatible with 3rd party tools (ex: geospatial) causing a delay in some package availability until an extra release. Some gotachs with distributed model training (Horovod).
What problems is the product solving and how is that benefiting you?
We are training models to forecast weather and have been able to achieve scale without having to do create a custom architecture. We now have experimentation happening 10X faster than before.
Great customization and granularity of data
What do you like best about the product?
I like how granular we can get when running queries and reports for our business purposes
What do you dislike about the product?
The user interface could be a little sleeker and more intuitive
What problems is the product solving and how is that benefiting you?
Monitoring various categories of data input
Good but UI is not perfect
What do you like best about the product?
The ability to monitor and relaunch jobs from the phone is amazing. I don't need to be on my computer on the weekend to relaunch a failed job.
What do you dislike about the product?
I don't particularly appreciate how the mlflow menu is hidden from the left bar UI unless I enter a specific link that contains the ID of an experiment.
For instance, I cannot see anything in https://*******.cloud.databricks.com/#mlflow and I cannot see mlflow in the left bar unless I go to :
https://*******.cloud.databricks.com/#mlflow/experiments/3817218/runs/172f6fcb9f144bbc93cc5b3b857c50f1
For instance, I cannot see anything in https://*******.cloud.databricks.com/#mlflow and I cannot see mlflow in the left bar unless I go to :
https://*******.cloud.databricks.com/#mlflow/experiments/3817218/runs/172f6fcb9f144bbc93cc5b3b857c50f1
What problems is the product solving and how is that benefiting you?
We are using databricks for weekly ETL and neural network model training and tracking of results. We like the fact that we can use different cloud providers based on our needs.
Easy of use
What do you like best about the product?
The easy of use is the most useful feature i like about MLFlow, it can use locally without any need for deployment on any server, great UI which allows use to search through general experiments and flexibility of changing data stores.
What do you dislike about the product?
The UI design is in Django I think which is a bit laggy and slow improvement can be done on that side.
What problems is the product solving and how is that benefiting you?
We tried to provide our data store as a plug-in for MLFlow.
Recommendations to others considering the product:
Yes
Great tool, helped me alot.
What do you like best about the product?
Centralization and remote servers and API
What do you dislike about the product?
Nothing specific. I like everything about mlflow.
What problems is the product solving and how is that benefiting you?
experiment tracking and ML metadata
Staging data for insights
What do you like best about the product?
It makes the power of Spark accessible and innovative solutions like Delta Lake.
What do you dislike about the product?
Fewer solutions that aren't wholly or partially on the cloud.
What problems is the product solving and how is that benefiting you?
We are staging large datasets for reporting and multiple BI solutions.
Databricks review
What do you like best about the product?
1. Good UI
2. Good integrations with other applications/services.
3. Faster and efficient.
4. Updates are good.
2. Good integrations with other applications/services.
3. Faster and efficient.
4. Updates are good.
What do you dislike about the product?
1. Sometimes it take much time to load the Spark notebook.
2. Sometimes having issues with interpreter settings while running the notebook.
2. Sometimes having issues with interpreter settings while running the notebook.
What problems is the product solving and how is that benefiting you?
1. Big data - Analyzing large datasets.
An easy way to quickly and efficiently analyze data
What do you like best about the product?
I love how accurate and quick databricks is. Once I started working with databricks, I couldn’t fathom doing data analyzation and comparisons without it.
What do you dislike about the product?
The software is not the cheapest on the market and that detracts funds that could go elsewhere throughout the hospital. However, databricks continues to be a great product.
What problems is the product solving and how is that benefiting you?
Multiple forms of data analysis along with demographics and data comparison implementations.
Easy to get started with big data
What do you like best about the product?
Helpful online resources. Easy to get started
What do you dislike about the product?
Not enough documentation. Not enough examples
What problems is the product solving and how is that benefiting you?
Predictive modeling. Easy to spin up models
Recommendations to others considering the product:
Good idea
Ease of Implementation
What do you like best about the product?
Overall, since we brought in DataBricks, our ability to use DataScience and advacned analytics at scale has gone up 100 times. Our experience has been awesome, and I know we're not even pushing the bounds of what it can do
What do you dislike about the product?
Overall Databricks has worked well, though it has taken longer than we anticipated to get it up and running.
What problems is the product solving and how is that benefiting you?
Frees up data scientists to do data science instead of fighting with cluster management.
Recommendations to others considering the product:
Provides support and solution that is not available in open source version. Good communication
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