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
628 reviews
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Satisfying Platform For Data management & ML
What do you like best about the product?
Quality of Databricks services are top notch and best also their support team always reply fast and with resolution for any techy questions. I like to use Databricks for my data analytical work.
What do you dislike about the product?
Easy to use infrastructure and number of integration make them very useful and reliable platform for us to manage or datasets and ML related works.
What problems is the product solving and how is that benefiting you?
We can perform big data analytics and ML task also on Databicks their platform have very user friendly interface that gives more reliable and healthy environment to perform our data related task. They have number of integration and pre define function that also help us to make effective insights.
A effective data governing platform
What do you like best about the product?
The best about databricks is its delta warehousing which makes ETL process faster and effective.And also unity catalog feature which centralize data governance easy and also the data bricks ai assistant which makes data transformations easy and automated ,the customer support is helpful and quick.
What do you dislike about the product?
the only thing i dislike is it does not support RDD in pyspark codes.
What problems is the product solving and how is that benefiting you?
Data bricks is useful in solving workflows managing/constructing and data transformations serving business requirements. Benefiting me with daily transformations and workflows processing
Fantastic and Hassle Free Infrastructure
What do you like best about the product?
I am love to working on the databricks environment because their reliable and scalable platform always provide best analysis dashboard and number of integration that help us on our big data analysis.
What do you dislike about the product?
Their easy to use system and hassle free implementation process make work more easy and frequent for us. They provide 24x7 customer support that manage our all requirement need.
What problems is the product solving and how is that benefiting you?
Working and analyzing the huge data sets and creating insights are very easy with databricks. also I appreciate their team that manage all dataset and provides number of integration that gives us a hassle free environment and value added results on our overall performance.
Databricks is a Powerful Platform with Strong Support and Flexible Features
What do you like best about the product?
Databricks is very dependable, flexible, and helps our company to create innovative analytical solutions and every week in our technical meetings, we cover a range of subjects like bugs, best practices, new features, and more using it. Also every member of the support crew in Databricks responds fast and is rather helpful.
What do you dislike about the product?
When using creative features like AI, cost control and estimation might prove difficult. And although lakeview SQL is still not yet developed, Databricks is actively pushing their utilization nonetheless. Also every now and then unannounced feature activation in my office surprises me.
What problems is the product solving and how is that benefiting you?
Databricks is a must have tool for managing complex data access and it's innovative infrastructure which guarantees fast scalability and offers advanced capabilities and also one can easily combine other solutions with it and right now, we use it as a one-stop shop to satisfy several audiences.
Solution For Data Management
What do you like best about the product?
They have user friendly interface and ease to integrate option that gives very effective and user friendly experience to work on databricks to manage and analyze our company huge datasets.
What do you dislike about the product?
I love their customer support because whenever I need and help regarding integration their team help me to fix my issues.
What problems is the product solving and how is that benefiting you?
Performance and infrastructure of Databricks are top notch and hassle free, they have lots of integration that manage our work more effective and without any issues. they provides lots of predefine algo and templates that help us to create analyze the dataset to create a new insights.
Databricks - Powerful and scalable for data science and business analytics
What do you like best about the product?
I like it because it stands out for its ability to unify data science, data engineering, and business analytics into a single interface. I also appreciate the seamless integration with collaborative notebooks and the ability to seamlessly with Delta Lake is also a big plus, ensuring reliability and performance when managing large-scale data.
What do you dislike about the product?
Sometimes, the web interface can take a while to load active clusters. Id also like more visual tools to monitor resource usage in real time.
What problems is the product solving and how is that benefiting you?
One of the main challenges we faced was fragmentation between engineering and analytics teams, and Databricks allowed us to centralize all data processing and analysis, reducing development time and improving the quality of our machine learning models. We also eliminated data sites by consolidating multiple sources into a single platform, which reduced the time to insights and the execution time of ETL pipelines, improved collaboration and overall productivity, and improved business decision supported by cleaner data.
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.
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