My company uses Databricks to process real-time and batch data with its streaming analytics part. We use Databricks' Unified Data Analytics Platform, for which we have Azure as a solution to bring the unified architecture on top of that to handle the streaming load for our platform.
Databricks Data Intelligence Platform
Databricks, Inc.External reviews
765 reviews
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Data + AI should be unified
What do you like best about the product?
Before exploring Databricks I had worked on many tools & their integration to make Data flow simpler but Databricks is doing wonders in this space by unifying Data + AI at one platform & also giving smooth UI to Intereatc & get your job done in a simplified manner
What do you dislike about the product?
Although my experience is really good but what I have observed is that data bricks is doing wonders with Azure most of the time, I think they introduce Databricks as PAAS with other platforms like AWS especially.
What problems is the product solving and how is that benefiting you?
I think overall the Platform is really good but I loved their Data Governance support using Catalog is really a solution to most of the Data Governance problems.
An easy to setup tool that provides its users with an insight into the metadata of the data they process
What is our primary use case?
What is most valuable?
The most valuable feature of the solution stems from the fact that it is quite fast, especially regarding features like its computation and atomicity parts of reading data on any solution. We have a storage account, and we can read the data on the go and use that since we now have the unity catalog in Databricks, which is quite good for giving you an insight into the metadata of the data you're going to process. There are a lot of things that are quite nice with Databricks.
What needs improvement?
Scalability is an area with certain shortcomings. The solution's scalability needs improvement.
For how long have I used the solution?
I have been using Databricks for a few years. I use the solution's latest version. Though currently my company is a user of the solution, we are planning to enter into a partnership with Databricks.
What do I think about the stability of the solution?
It is a stable solution. Stability-wise, I rate the solution an eight to nine out of ten.
What do I think about the scalability of the solution?
It is a scalable solution. Scalability-wise, I rate the solution an eight to nine out of ten.
My company has a team of 50 to 60 people who use the solution.
How are customer service and support?
Sometimes, my company does need support from the technical team of Databricks. The technical team of Databricks has been good and helpful. I rate the technical support an eight out of ten.
How was the initial setup?
The initial setup phase of Databricks was good. You can spin up clusters and integrate those with DevOps as well. Databricks it's quite nice owing to its user-friendly UI, DPP, and workspaces.
The solution is deployed on the cloud.
The time taken for the deployment depends on the workload.
What's my experience with pricing, setup cost, and licensing?
I cannot judge whether the product is expensive or cheap since I am unaware of the prices of the other products, which are competitors of Databricks. The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts.
What other advice do I have?
It is a state-of-the-art product revolutionizing data analytics and machine learning workspaces. Databricks are a complete solution when it comes to working with data.
I rate the overall product an eight out of ten.
Driving AI and Data Innovation with a Unified Databricks Platform
What do you like best about the product?
I use Databricks for ETL, Reporting, and AI, and I appreciate that it works as one unified solution for all data and AI needs. It makes it easier to track data and create insights, helping us deal with data silos. I like the Unity Catalog as it helps us manage and govern data in one place. I also like using AgentBricks as a multi-agent system for creating AI applications from PDFs and other documents. I find Genie valuable as it allows business users to ask questions in natural language and get exact answers. The initial setup of Databricks was very easy, making the transition smooth.
What do you dislike about the product?
I think workflow could be improved by adding multiple triggers to the same pipeline, as for now, if we want to schedule the same pipeline multiple times in a day, we have to clone it for each time.
What problems is the product solving and how is that benefiting you?
I use Databricks to eliminate data silos and make data tracking and insights creation easy. Unity Catalog manages data governance, AgentBricks develops AI applications, and Genie provides answers using natural language on structured data.
Most advanced data platform
What do you like best about the product?
Databricks has been developing an excellent product with new features being added constantly. ETL/ELT, dbt integration, integration with external sources, and many more features make it a product that is versatile and highly effective. Managment of permissions is also extremely easy.
What do you dislike about the product?
Some automated recommendations on optimizing jobs are lacking, so you could end up spending quite a lot of money without the best performance. The platform is also not for small scale use-cases.
What problems is the product solving and how is that benefiting you?
Databricks is providing the fundamental building block of our data warehouse + data lake + data processing platform from which other systems receive analytics data.
It is a one stop solution to collaborate for all Data Engineering and Data Science activities
What do you like best about the product?
Collaboration,Feature store,MLOps,scheduling
What do you dislike about the product?
Don't have a way to put dependencies between workflows
What problems is the product solving and how is that benefiting you?
It has helped me build the datalake for business intelligence usecases
An amazing data analytics platform!
What do you like best about the product?
The Databricks Lakehouse Platform's seamless integration of data lakes and data warehouses, which offers the best of both worlds for data analytics and processing, is its most useful feature. Users in a variety of jobs are empowered by the platform's strong and intuitive user interface, which also promotes collaboration and increases output. Its rich built-in analytics and machine learning capabilities allow for sophisticated modelling and complex data transformations for the extraction of insightful information. The platform's scalability guarantees effective management of complex data processing operations. And finally, its strong data security and governance features provide users confidence when handling sensitive data.
What do you dislike about the product?
One area for improvement with the Databricks Lakehouse Platform is the occasional challenge faced when troubleshooting certain issues, where enhanced support options or an expanded knowledge base would be beneficial.
What problems is the product solving and how is that benefiting you?
The Databricks Lakehouse Platform tackles the challenge of seamlessly integrating data lakes and data warehouses, allowing me to effortlessly manage and analyze vast amounts of data. It has been a game-changer, streamlining my workflows, boosting productivity, and enabling me to extract valuable insights from diverse data sources. With its scalability and built-in analytics capabilities, I can optimize data processing and unlock actionable intelligence with ease.
Getting Even Simpler
What do you like best about the product?
With each new iteration and improvement, things like streaming are getting even easier. DLT, lakehouse AI and other upcoming tech will be making things even easier in the future.
What do you dislike about the product?
The number of features behind a private preview. It would be better if we could all have access to the private preview items by just going into the public but saying that they're in beta.
What problems is the product solving and how is that benefiting you?
Streaming and the constant evolution of the product just makes things simpler as the product progresses.
Experience with Delta tables
What do you like best about the product?
Governance, offerings like Unity catalogue. Some of the future offerings like Lakehouse AI seem very promising. Would be keen to learn more about the platform and use it
What do you dislike about the product?
Nothing at this point. The concepts seem great. I would love to get more hands on experience on the same and use it for production implementations and form a better opinion
What problems is the product solving and how is that benefiting you?
Governance and being able to catalogue and inventory the data. The cost optimization options are great as well and can bring down the overall spend. Data harmonization is another area
I JUST LOVE IT
What do you like best about the product?
Handling massive data with ease, had to struggle a little bit with data coming from azure and aws cloud.
What do you dislike about the product?
Need more support materials to troubleshoot things,
What problems is the product solving and how is that benefiting you?
Massive data handling
Excelent Data management platform
What do you like best about the product?
Very user friendly and easy to understand
What do you dislike about the product?
Lots of moving parts and hidden features
What problems is the product solving and how is that benefiting you?
Moved all our legacy data from on-prem servers to the cloud. More reliable and easy to scale
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