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Databricks Data Intelligence Platform
What do you like best about the product?
I like Databricks Data Intelligence Platform because of its multiple features workspace, notebooks, DBU, DBFS and lakehouse and the UC and fix feature are the excellent feautures
What do you dislike about the product?
As of now nothing, till noe all my requirements fullfilled
What problems is the product solving and how is that benefiting you?
Databricks helps me to manage massive amount of data and migrating notebooks from one workspace to another workspace also benifits to us in terms of time and accuracy and major all the problems it solves for me.
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Excellent perfomance at all times
What do you like best about the product?
Databricks Data Intelligence Platform is the best platform because it gives me a good performance in my daily tasks, I like it because it provides a wide information, it is easy to understand and confirm. It allows me to create and implement solutions efficiently.
What do you dislike about the product?
Databricks Data Intellligence Platform is a very good platform, I don't dislike anything.
What problems is the product solving and how is that benefiting you?
Databricks Data Intelligence Platform facilitates the creation of profiles guarantees the protection of data, making us feel safe as a company and reduce user complaints. It is undoubtedly the best platform we have found at the enterprise level.
The ETL Governance Monitoring stands out from the vast landscape of Big Data tools.
What do you like best about the product?
Espically the "Unity Catalog" and "Fix feature on the anomaly in Data lineage" are the wow features that truly impress.
What do you dislike about the product?
Nothing, because as of now it offers all the features in one tool, which is truly impressive.
What problems is the product solving and how is that benefiting you?
We haven't encountered any issues; our POC is working well and the actual implementation is excellent.
The Databricks
What do you like best about the product?
Features like UC, notebooks, lakehouse, workspace, and Delta Lake which make this superb.
What do you dislike about the product?
No problems have arisen till now in POCs and data migration from dev to prod.
What problems is the product solving and how is that benefiting you?
All required tools/features for data are in one place with single costing.
Integrety with other tools like azure data factory and azure synapse which make this more beneficial.
Integrety with other tools like azure data factory and azure synapse which make this more beneficial.
Databricks is the perfect tools for data engineer
What do you like best about the product?
I like the simplicity of the tools and the user friendly UI. The think I like the most is the "Databricks Assistant" which really save me hours of coding, debugging and commenting my codes. Databricks is also use by a user community that continues to grow.
What do you dislike about the product?
The dashboards could be more accurate and have more features, although work is still in progress.
What problems is the product solving and how is that benefiting you?
We can use multiple languages (SQL & Python in our case) to resolve some problem like Golden record etc.
My databricks experience in my work
What do you like best about the product?
Databricks is useful for his scabilty, control large volumetry of data and also small volume.
What do you dislike about the product?
Maybe the point of attention is to improve the dashboard part.
What problems is the product solving and how is that benefiting you?
Transfer large volume of data quickly.
The ETL, Governance,Monitoring is class apart as per the tools available across the Big Data Space
What do you like best about the product?
The Unity Ctaalog, Lakehouse Monitoring and the Data Lineage and Fix on the anamolyin Data linegae are the wow featires
What do you dislike about the product?
Nothing as of now, We are good to go with this.
What problems is the product solving and how is that benefiting you?
NOthing We have found, our POC is working well and the actual implementation is superb.
Databricks & UC
What do you like best about the product?
The seamless integration and easy use of catalog and lakehouse federation and the easy implementation of pipelines using DLT without configuration overhead. Foregin catalog implementation ,which makes data available for frequent use and the best in class customer support helps whenever I am stuck.
What do you dislike about the product?
Initially for a company which just starting and for a single user , costing can be a issue.
What problems is the product solving and how is that benefiting you?
Problem of having n number of security models is easily handles by Unity Catalog,
Having one platform where I can govern and keep an eye on all my data and keep check on users , is a real blessing.
Having one platform where I can govern and keep an eye on all my data and keep check on users , is a real blessing.
Data Engineering with Databricks
What do you like best about the product?
I like Databricks because it provides all the elements necessary for mass data processing, the different components (notebook, cluster, jobs) are very well integrated and quite easy to use. A lot of training is offered to understand in depth the possibilities offered in Databricks, which makes it much easier to use.
What do you dislike about the product?
The Dashboard part integrated into Databricks is quite limited and does not allow the creation of complex and relevant dashboards
What problems is the product solving and how is that benefiting you?
Databricks solves the problem of scalability, it's easy to manage a large amount of data as a smaller one.
Databricks for data world
What do you like best about the product?
It provides some key features like workspace, notebook, Apache spark, Delta Lake, and Scalability. It provides a centralized environment where teams can collaborate. We can work on Jupyter Notebook with Apache Spark which provides the engine that powers all processing of dataset. It provides Cross-team collaboration so engineers, analysts, scientists, and ML engineers can work seamlessly on the same platform. It also provides consistency with notebooks, users can transition between tasks and programming languages without the need for context-switching.
What do you dislike about the product?
In this Databricks platform, we can't migrate a library from the dev workspace to the prod workspace.
What problems is the product solving and how is that benefiting you?
It provide some key features like workspace, notebook, Apache spark, Delta Lake and Scalability.
It provide centralized evn where team can collaborate.
We can work on jupyter notebook with Apache spark which provide engine that power all processing of dataset.
It provide Cross-team collaboration so enengineers, analysts, scientists and ML engineers can work seamlessly in the same platform.
Consistency: with notebooks, users can transition between tasks and programming languages without the need for context-switching.
It provide centralized evn where team can collaborate.
We can work on jupyter notebook with Apache spark which provide engine that power all processing of dataset.
It provide Cross-team collaboration so enengineers, analysts, scientists and ML engineers can work seamlessly in the same platform.
Consistency: with notebooks, users can transition between tasks and programming languages without the need for context-switching.
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