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Databricks has been absolute productivity tool
What do you like best about the product?
Databricks come with everything in one place, and that is the best thing about the platform. Now I don't have to go to EMR page to create an ERM and then create a notebook. All these can be done with just one click and one page. One gets to jump from notebooks to Query service and to AI in just one click. You get data store views, auto type suggestions based on table and schema context. All these makes the experience very smooth and fast.
What do you dislike about the product?
Queries get refreshed once in a while, where if some queries are not saved explicitly get deleted.
There is no dark mode, hence have to use a white theme.
Sometimes your queries get pushed to long queues which takes a lot of time and can be little frustrating.
There is no dark mode, hence have to use a white theme.
Sometimes your queries get pushed to long queues which takes a lot of time and can be little frustrating.
What problems is the product solving and how is that benefiting you?
- Adhoc queries on datalake, data profiling on various schema and tables.
- Creating and testing data pipelines using notebooks with various language support.
- Quick, easy, and on-demand resource creation and termination.
- Creating and testing data pipelines using notebooks with various language support.
- Quick, easy, and on-demand resource creation and termination.
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Databricks Review
What do you like best about the product?
Best for Analytics, we also got started off first using Fivetran and it was the easiest destination for us to use.
What do you dislike about the product?
Getting setup wasnt the easiest thing to do, also the UI feels a little old.
What problems is the product solving and how is that benefiting you?
Our use case is a little different, first we needed a destination when we were using Fivetran for connectors so we needed a place to put data in from the connectors we had setup using Fivetran and Databricks was the best solution for that.
We were also building analytics solutions and so Databricks also capture that well for us as well.
We were also building analytics solutions and so Databricks also capture that well for us as well.
One stop solution for Multi-cloud architecture
What do you like best about the product?
It is the best datalake even when compared to the offerings by AWS, GCP or Azure due to its proprietary delta lake technology
What do you dislike about the product?
No offering for developers to debug their code line by line
What problems is the product solving and how is that benefiting you?
It served as a data warehouse for all our unstructured data with super fast retrieval
A great platform to realize business value through DE, ML and analytics"
What do you like best about the product?
The platform is easy to use and collaborate with my colleagues. Deploying to production is simple and can be even easier if you choose the non-self-hosted option. Although Databricks does some of the heavy lifting, it's still open enough to allow teams to use their own flexibility and complex processes without too much configuration. "
What do you dislike about the product?
Platforms constantly change as they adapt, so staying on top of everything can be difficult. - If you don't have a CICD system in place, once you hit a certain number it starts to get difficult to manage.
What problems is the product solving and how is that benefiting you?
Databricks Lakehouse Platform is a data platform that helps organizations unlock the full potential of their data. It aims to unite data engineering and data science, making it easier for teams to collaborate and create a comprehensive data strategy. It allows users to easily store, organize, access, and analyze data from multiple sources, making it easy to gain insights from their data. By leveraging the platform, organizations can optimize their data-driven decisions, improve customer experience, and drive business growth. Additionally, the Databricks Lakehouse platform allows users to quickly and easily build data pipelines for real-time analytics, machine learning, and AI applications. It can help organizations quickly discover valuable insights from their data, shorten the time to market for new products and services and make more accurate forecasts.
Databricks Lakehouse a new data warehouse
What do you like best about the product?
Offers low cost storage of data with efficient schema structure and analytics. Support for ACID transactions. Quick and easy data accessibility. Good data governance.
What do you dislike about the product?
I should hold an active account with AWS or Azure to use Databricks Lakehouse platform or else I can't access it. More guidance on data quality tools is needed.
What problems is the product solving and how is that benefiting you?
The speed of processing the data is lagging sometimes. Databricks Lakehouse focusing to slove lagging issue helps me in smooth functioning of the tasks and saves sometime.
Databricks Lakehouse: Some Pros and Cons
What do you like best about the product?
- Keep updating the notebook platform (e,g, keep adding new features such as local variables track).
- MLFLOW experiment and Model registry, where all trained models can be tracked and registered in one place
- MLFLOW experiment and Model registry, where all trained models can be tracked and registered in one place
What do you dislike about the product?
Connect my local code in Visual code to my Databricks cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
What problems is the product solving and how is that benefiting you?
Dealing with big data and being able to train different models that address many problems in my business. In addition to its computational capabilities, using Databricks allowed us to do all development in one platform.
Databricks is a one stop solution for all Analytics, Data Engineering and ML related projects
What do you like best about the product?
I like the ease to switch between Python, Pyspark and sql in the same notebook.
What do you dislike about the product?
The spark cluster needs to get connected faster in community edition.
What problems is the product solving and how is that benefiting you?
Faster ingestion of big data
Host of file formats accepted
Processing of unstructured data
Ease of ML model monitoring and tracking
Ease of switch in language in the same notebook
Host of file formats accepted
Processing of unstructured data
Ease of ML model monitoring and tracking
Ease of switch in language in the same notebook
Databrick Lakehouse Review
What do you like best about the product?
One of the best analytical databases currently available in the market and can handle all formats of data ranging from structured, semi-structured, to unstructured.
What do you dislike about the product?
I don't have anything I particularly don't like. If there is, I would say the SPARK statistical modeling libraries are still quite limited comparing with the packages from R, SAS, or Python.
What problems is the product solving and how is that benefiting you?
Databricks help us solve the data integration and processing legacy issues and also can provide AI, ML, statistical modeling functionalities and enable my team to build predictive models
I like working on Databricks
What do you like best about the product?
Databricks allow us to access data via pyspark, python and sql.
The interface is easy to use and most of my work is spent there.
The interface is easy to use and most of my work is spent there.
What do you dislike about the product?
I was told the model training part is more costly in Databricks than in Azure.
So some of the jobs need to be done in databricks and some of the jobs need to be done on Azure.
It will be good if cost is not an issue when choosing platforms.
So some of the jobs need to be done in databricks and some of the jobs need to be done on Azure.
It will be good if cost is not an issue when choosing platforms.
What problems is the product solving and how is that benefiting you?
move of ETL and analysis are done in databircks for me.
Powerful and user-friendly interface for data scientists and engineers to work!
What do you like best about the product?
Its ability to seamlessly integrate data processing, analytics, and machine learning workflows, its scalability and performance, and its support for a wide range of data sources and programming languages. I like that it get UI updates on the notebooks.
What do you dislike about the product?
The learning curve for new users can be steep. There are limited documentation on markdowns in notebooks and it can be faster. I would like to see it faster and improved.
What problems is the product solving and how is that benefiting you?
Can help solve for organizations include simplifying and streamlining complex data processing and analysis workflows, improving scalability and performance for large datasets and machine learning workloads, and enabling collaboration among data scientists and engineers across teams and geographies. These benefits can lead to more efficient and effective data-driven decision making, improved product development, and enhanced customer experiences.
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