The use case for Databricks is that we use the clustering for high big data processing within the cluster.
Databricks Data Intelligence Platform
Databricks, Inc.External reviews
637 reviews
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External reviews are not included in the AWS star rating for the product.
Great Experience with Databricks
What do you like best about the product?
The Databricks Data Intelligence Platform allows us to have a single source of development capabilities for IT developers and business analysts. This allows for easier implementation of capabilities and consolidation of toolsets across the environment. Users are given the freedom to develop the data products they need in the time frames they need them. It makes implementation and productionalization of these projects much easier to integrate for downstream usage.
What do you dislike about the product?
The one "dislike" I have is that it's difficult to keep up with all of the improvements and enhancements in the platform. We always see new features to implement and want to make sure we're doing the best we can for our end users.
What problems is the product solving and how is that benefiting you?
Databricks is making it extremely easy for us to have a single set of tooling for multiple us cases in the data space. This allows us to be more collaborative across business units and within business units. It also allows us to have standard ways of working that can be implemented through all of the use cases. We see a lot of capabilities that can be leveraged with the platform that make repeatable capabilities easier which allows us to increase speed to market for our data products
Experiencing smooth performance and cost advantages over previous tools
What is our primary use case?
What is most valuable?
I think it is difficult to determine which feature of Databricks I enjoy the most since there are many valuable features.
What's valuable about Databricks to my organization is that it is more cost-effective and provides better performance than the current AWS tools and services they offer.
What needs improvement?
I am uncertain about specific improvements for Databricks.
It would be beneficial to make Databricks even more cost-effective.
For how long have I used the solution?
I have been using Databricks for two years.
What do I think about the stability of the solution?
My experience with Databricks has been smooth, and I haven't encountered any issues.
Databricks is definitely a very stable product and reliable.
How are customer service and support?
I have not used Databricks customer service or support.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
Before Databricks, I used Batch processing, Fargate, and possibly Kubernetes.
I switched from my previous solutions because they were either too expensive or too difficult to configure.
Which other solutions did I evaluate?
I have considered other solutions besides Databricks, such as Snowflake, but we haven't explored it extensively yet.
We are still early in our Snowflake experience, so we don't know the pros and cons compared to Databricks.
What other advice do I have?
My deployment model for Databricks is limited as I'm not a heavy user.
I am not the person who purchased Databricks, but it was possibly acquired through the AWS Marketplace.
I may not have utilized Databricks machine learning capabilities.
My experience with the pricing and licensing model is that it remains relatively expensive. Though it's less expensive than AWS, we still need a more cost-effective solution.
I would rate Databricks overall a nine out of ten.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Databricks makes Teamwork Data Super Easy
What do you like best about the product?
I like Databricks because it helps everyone work together on big data projects in one place. It’s easy to share ideas, do smart computer stuff, and understand lots of information as a team.
What do you dislike about the product?
Sometimes, it’s hard to move our old data into Databricks. If you are not used to it, learning everything can feel tricky at first.
What problems is the product solving and how is that benefiting you?
Databricks brings all our data together, making teamwork easier and helping us make smart decisions faster.
DataBricks great tool for large-scale collaborative analysis
What do you like best about the product?
I really liked how easy it is to collaborate on shared notebooks, along with the native support for Spark and integration with MLflow. It allows you to work with large volumes of data without worrying about the underlying infrastructure.
What do you dislike about the product?
It could be said that the learning curve might be better for new users or those who have no previous experience with distributed environments.
What problems is the product solving and how is that benefiting you?
Its a good all-in-one solution for those working with big data and machine learning. Its collaborative environment and scalability make it and excellent tool for our daily workflow, making everything easier, especially when sharing models and pipelines across departments.
Managing different data sources is very simple
What do you like best about the product?
In-memory processing offering a major advantage: it offers a wide range of layering capabilities in terms of blocks. It's excellent because of its distributed data structures. I like that ti can be configured to perform automatic backups.
What do you dislike about the product?
The search options for in-memory data structures are poor, and the documentation isn't as good as that of other platforms. Implementing the tool requires changes to the application.
What problems is the product solving and how is that benefiting you?
This will help us make financial data instantly available and help identify spatial relationships and structures. I had an excellent technical experience with the platform, it has been a valuable partner for our company over the past two years.
System monitoring, plugin availability
What do you like best about the product?
Data access is high-speed, and it has highly qualified resources. I like the ability to manage large amounts of business data, its user interface is very useful, and data analysis is a faster process. I like the ability to host modules for so many different parts.
What do you dislike about the product?
They require extensive experience to configure, and the quality module could be improved with better features. They require specific administration skills, making it difficult to manage application users.
What problems is the product solving and how is that benefiting you?
It helps businesses run their daily operations, offering a wide range of features. It also helps our organization manage databases, providing a secure environment for data.
Data Representation & Management Tool
What do you like best about the product?
Working on the Databricks where we can easily analyze huge datasets and integrate our platform or website to create an insight from our internal dataset. They have number of features that help us to manage all analytical views with pre define templates.
What do you dislike about the product?
Implementation was so quick and easy that help us to manage all data without any issues. I like their customer support services and their frequent use make them my favorite platform for data management.
What problems is the product solving and how is that benefiting you?
I have required a tool that help me to represent and analyze the data and I use Databricks and really their excellent platform make my work more reliable and easy to manageable for me. i always prefer them their pricing is little bit high but their services gives a big impact in my work.
Databricks simplify data work and scale effortlessly !
What do you like best about the product?
What I really like about Databricks is how it brings every technical requirements under one space like kind one stop place for anything related to data. From cleaning and organizing to building machine learning models, it makes the whole process less messy. We could work as a team without constantly emailing or switching tools. Performance wise, it holds up even when we throw big workloads at it, and it connects well with other tools we use. Real-time data processing is smooth, and I’ve noticed we get insights much faster now. It’s also got solid controls around data access and tracking, which gives peace of mind on the security side. Overall, it's a smart, efficient platform that makes working with data feel way more natural.
What do you dislike about the product?
Databricks offers a good environment for data processing and analytics, but it does come with its set of challenges. One of the primary challenge is the learning curve, especially for those new to big data tools.But customer support really try their best.
What problems is the product solving and how is that benefiting you?
One thing I’ve noticed using Databricks is how much it cuts down on the usual complexity of big data work. Whether it's handling streaming feeds or batch jobs, it takes care of both in the same place, which saves time and confusion. We didn’t have to deal with a lot of setup or infrastructure headaches , things just scale up when needed, and performance stays solid even with heavier loads. It’s kind of like having a behind the scenes crew managing the technical weight so we can focus on the actual data insights. Makes life easier for the whole team.
Excellent integration with ML libraries and real time pipelines.
What do you like best about the product?
Predictive model for early hospital readmission risk detection was developed by our firm. We were processing sensitive health records using Databricks because security and compliance were our top priorities. Databricks support for HIPAA compliance and secure workspace management made it a trustworthy platform to host patient datasets. Using Delta Lake we handed the millions of records with the reliable performance. The integration with pandas and MLflow within notebook was also seamless. I especially appreciate the real time dashboard we build for a hospital admin staff to view live model prediction and alerts.
What do you dislike about the product?
During this project one of the biggest challenge we faced was setting up real time data streaming with HL7 format via Kafka into Databricks. While Databricks does support auto loaders but we had to write a fair amount of custom logic to parse and validate complex healthcare specific schemas
What problems is the product solving and how is that benefiting you?
We have seen improved collaboration across hospitals since each can now securely access insights and contribute feedback via shared notebooks and dashboards. Databricks has become the central nervous system for this project.
Future of Data Intelligence for Businesses
What do you like best about the product?
The built in visual tools help us understand data more easily. Instead of just seeing a bunch of numbers, I can spot trends and patterns clearly, which makes it easier to make smart decisions.
What do you dislike about the product?
Because it’s a cloud based platform, everytime I need a stable internet connection to use it. Sometime I am working offline or in places with spotty internet.
What problems is the product solving and how is that benefiting you?
I am really happy with how Databricks has transformed our data processes. It’s made things faster, simpler and more efficient which allowing to focus on insights rather than struggling with infrastructure.
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