We use the solution for data analytics of industrial data.
Databricks Data Intelligence Platform
Databricks, Inc.External reviews
628 reviews
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a comprehensive review of Databricks
What do you like best about the product?
its a platform for storing and maintaining data also to manage and process big data.also implementation of apache spark
What do you dislike about the product?
databricks UI complexity.it can be improved to easy use
What problems is the product solving and how is that benefiting you?
databricks platform resolves data complexity by giving i unified platform that integrates with various data sources also it fosters collaborative analytics
Databricks Unified Data Intelligence Platform for all Genes - Data Engineers, Data Scientists
What do you like best about the product?
I've being using Databricks for more than 7 years and used almost all of services workflow, Unity Catalog, scale in and scale out the cluster depending on the demand.
Due to the in-build capabiity of spark , ease of integration and wonderful support, we have seen customers are relying more towards to the databricks.
Due to the in-build capabiity of spark , ease of integration and wonderful support, we have seen customers are relying more towards to the databricks.
What do you dislike about the product?
During 2nd quarter of 2023 we have have not seen Databricks was not focusing towards to the Gen AI.
What problems is the product solving and how is that benefiting you?
Databricks Unified platform serving for all genes Data Engineers, Data Scientists.
Utilize out of box wokflow to automate the entire jobs.
Flexiblity of scheduling the batch vs continuous jobs depending on the need.
Utilize out of box wokflow to automate the entire jobs.
Flexiblity of scheduling the batch vs continuous jobs depending on the need.
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
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.
A scalable and cost-effective solution that has excellent translation features and can be used for data analytics
What is our primary use case?
What is most valuable?
We extensively use the product’s notebooks, jobs, and triggers. We can create activities. Wherever translation is required, we use Databricks. The product fulfills our customer requirements. It is a cost-effective solution.
What needs improvement?
The product should provide more advanced features in future releases.
For how long have I used the solution?
I have been using the solution for six months.
What do I think about the stability of the solution?
Our data was not too huge. It worked well. It is easily adaptable.
What do I think about the scalability of the solution?
The tool is scalable. We can make it available for a larger audience.
How was the initial setup?
The initial setup is not that difficult. I rate the ease of setup a seven out of ten. The solution is cloud-based. We use native services like Data Factory for orchestration. Sometimes, the customers require us to use Amazon as the cloud provider instead of Azure.
What's my experience with pricing, setup cost, and licensing?
The pricing is average.
What other advice do I have?
There are many services which are coming up. They are still in the preview stage. Overall, I rate the product an eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Microsoft Azure
Helps to have a good data presence but needs to incorporate learning aspects
What is our primary use case?
The product has helped in data fabrication.
How has it helped my organization?
Databricks has helped us have a good presence in data.
What needs improvement?
The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice.
For how long have I used the solution?
I have been using the product for more than six months.
What do I think about the stability of the solution?
I rate Databricks' an eight out of ten.
What do I think about the scalability of the solution?
I rate the tool's scalability an eight out of ten.
How was the initial setup?
The transition to Databricks was smooth.
What's my experience with pricing, setup cost, and licensing?
Databricks' price is high.
What other advice do I have?
I rate the solution a nine out of ten.
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
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