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Perfect Location for Lakehouse
What do you like best about the product?
With Lakehouse bringing in all company data on one place in layered medallion architecture, we could use Open AI services right out of the box to leverage Gen AI capabilities either out of the box or by connecting to Cloud providers Open AI services. And with recent acquisition of Einblick it makes it much more intuitive for self-service analytics for business users without stressing on the analysts.
What do you dislike about the product?
More support for DevOps could be better. Also with unity catalog, if there are too many tables, views in one schema or too many schema, it makes it difficult to scroll thru in UI
What problems is the product solving and how is that benefiting you?
We are bringing in all of our clients products data, customer data, transactions, end customers, distributors data in one place for better understanding of customers buying patterns and feedback to help our marketing and sales team to collaborate more effectively
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Delta Lake with GenerativeAI
What do you like best about the product?
Open source tech stack, adaptive to change per industry needs
What do you dislike about the product?
lock in to Unity Catalog ( not open sourced), No GUI for ETL (DLT is not solving all ETL uses -cases)
What problems is the product solving and how is that benefiting you?
An open source , highly performant , cost effective , highly scalable data lake that allows allocatig platform costs to business users accurately (better than charge back model) . The unity catalog is helps us tunring the dat alake from data swamo ( like in the hadoop world) . The AI assitant is increasing developer productivity. Now looking forward to the sensitive data / PII identification feature
Databricks has being able to allow me better technical solution by being in the edge of data
What do you like best about the product?
I've being using Azure Databricks everyday for the last 5 years, it allow easy corporate level security and governance. Relieve us on the need to deal with the setting up of clusters and bring to us the most up to date technologies in the data world.
The customer support has been effective, with people that really want to help. We were able to integrate with the Azure services, usually easier then when use native Azure like Data Factory and Synapses.
The customer support has been effective, with people that really want to help. We were able to integrate with the Azure services, usually easier then when use native Azure like Data Factory and Synapses.
What do you dislike about the product?
The notebook only concept was the most downside of Databricks, Not being able to follow the usual ways of working of the development was really critical, even though the notebooks allow easy testing and data analysis. Gladly it was solved it year by a better integration with IDEs
What problems is the product solving and how is that benefiting you?
Enabling building ETL Pipelines that make governance, security and robustness out of the box
Data mining
What do you like best about the product?
It is the best way to manage all the data at a single place.
What do you dislike about the product?
I guess nothing is for disliking about it
What problems is the product solving and how is that benefiting you?
By the help of databricks i used to to process my data in one short and manage it and spread it among the client side for the further processing
Use databricks!
What do you like best about the product?
The best thing about the platform is the ease of use, it is literally Spark as a service.
What do you dislike about the product?
What you need is to have a more comfortable way to connect to the notebooks via an IDE.
What problems is the product solving and how is that benefiting you?
It saves me from having to create my own services and manage them.
Databricks corporation is fantastic to work with
What do you like best about the product?
quality (features, performance, stability) of the product and associated documentation, and responsiveness of Databricks support staff
What do you dislike about the product?
at present i don't dislike anything, i hope databricks coroporation will be able to continue providing a resilient well maintaned product
What problems is the product solving and how is that benefiting you?
clinical trial data review
Onboarding can be smoother
The onboarding process is not smooth. When account setup begins, theere is no way to move to a new email if previous one has not yet been activated. Also no way to know which email was used to setup the subscription sign up.
1 person found this helpful
Had a great impressive experience
What do you like best about the product?
Totally impressive with Delta live tables, and created a poc with its and its really impressive with ease of use and high efficient for large datset.
What do you dislike about the product?
Azure data factory integration is not available to trigger the Delta live tables
What problems is the product solving and how is that benefiting you?
Effective in handling incremntal loads
Databricks, a rising hero for your complex data problems!
What do you like best about the product?
The ease of working at a cloud based data system (compatible with Azure/AWS/GCP) is far more better than those slow, laggy, boring legacy data warehouse systems like hadoop and others. Due to its Spark engine based built, big data processing is speedy, efficient and scalable.
Its a go to solution to my data warehouse / data lake based problems, the best of both worlds. One can integrate variety of data sources/formats like SQL-NoSQL, excel, csv, streaming data, APIs,etc. One can use a feature called Autoloader that eases our implementations of detecting and loading any kinda data in Delta Lake tables without any hard coding.
The platform is designed in such a way that in my 1 year of daily usage I haven't faced any kind of unexpected downtime/issue on platform for which I have to reach out to their customer support group.
I would highly recommend Databricks Lakehouse Platform to anyone who is looking for a powerful and flexible analytics platform.
Its a go to solution to my data warehouse / data lake based problems, the best of both worlds. One can integrate variety of data sources/formats like SQL-NoSQL, excel, csv, streaming data, APIs,etc. One can use a feature called Autoloader that eases our implementations of detecting and loading any kinda data in Delta Lake tables without any hard coding.
The platform is designed in such a way that in my 1 year of daily usage I haven't faced any kind of unexpected downtime/issue on platform for which I have to reach out to their customer support group.
I would highly recommend Databricks Lakehouse Platform to anyone who is looking for a powerful and flexible analytics platform.
What do you dislike about the product?
Browsing and accessing is a bit confusing if one is working on a resource group accounts which could have several main and segregated user based notebooks/files, accessing them is tideous task as a developer, one has to open a seperate new tab just for browsing or opening a seperate file/notebook for referencing puposes. Another thing is the frequency of UI changes in every few months, once a person gets comfortable/used to, a new UI update would pop up making it difficult for a person to adapt these changes once again.
What problems is the product solving and how is that benefiting you?
From its suit of features, it helped me processing daily arriving data from APIs and CSVs from a railway networking website platform, turing it into an Analytical solution in form of dashboard KPIs which play a vital role in taking key decisions and maintaining a lossless on-schedule railway network for real world users of the web product. It has helped me and my team in reducing operational overhead cost with its performance and reliability featues like data versioning and schema enforcement. It has also facilitated collaboration and communication in my team who are working from different corners of world remotely.
Unified Platform for Data Engineering, Data Science , Generative AI and Data Governance
What do you like best about the product?
Ease of use for setting up data pipelines
What do you dislike about the product?
the customer support is little less useful for more complex issues.
Many times patches are applied on workspaces which lead to failues
Many times patches are applied on workspaces which lead to failues
What problems is the product solving and how is that benefiting you?
Databricks is providing one single platform for all of Data Engineering , Data Science and Ops
It is leading and fast in adopting the new cutting edge tech
It is leading and fast in adopting the new cutting edge tech
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