Databricks Data Intelligence Platform
Databricks, Inc.External reviews
669 reviews
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External reviews are not included in the AWS star rating for the product.
Simplifies Data Analysis for Streamlined Workflows
What do you like best about the product?
Databricks is a Data Analytics tool that is used by our designing engineers to analyse all the different type of financial and operational data of our company and create a summary of everything so that understanding of companies workflow can be simple.
What do you dislike about the product?
One of the major disadvantage of databricks is that the software is completely based on programming language like Python, SQL, Scala so if the user does not have knowledge of these programming languages than it is very difficult for them to use this platform.
What problems is the product solving and how is that benefiting you?
The best part of databricks is that it can easily get integrated with cloud networks like as azure, AWS, Google Cloud etc. So, working on this platform also help us in getting access to all the data of different years and compile them to get a proper analytics of business performance.
Why I love Databricks
What do you like best about the product?
I like the integration between Spark, Delta Lake, and notebooks, which helps optimize and scale data pipelines. And the other feature that I love is the different cluster options that we have, which are really easy to tune for cost and performance.
What do you dislike about the product?
Debugging complex Spark jobs and understanding some of the optimization features is a time taking process in Databricks, is what I think.
What problems is the product solving and how is that benefiting you?
We basically get data into our catalogs in Databricks. The Databricks here allow us to perform many transformations and create different data products for the end user. Not just the data products, there are many other benefits like the ease of workspace, notebooks, and the cluster configuration.
Finally Databricks Data Intelligence Platform has given us stability with Spark jobs.
What do you like best about the product?
I am glad my leg is not completely dead from having to wait for a query (at least the auto termination feature works and saved me money) History is somewhat useful I rely on it to pull up previous scripts I write because I always seem to forget what I did the day before. I think it helps keep finance off my back by saving them money on the AWS bill. To me, it's simply one central location for managing our big data so I do not have to watch 5 monitors.
What do you dislike about the product?
If I want to find a query that was run over 30 days ago the search function does not even come close to being able to help me and also installing R Packages is a complete nightmare and the error messages are as clear as mud. And when working with large amounts of data the user interface becomes sluggish and trying to scroll through a notebook is like pushing through the mud. It would be nice if it were easier to install/ manage external spark packages.
What problems is the product solving and how is that benefiting you?
We create Machine Learning Models and perform Heavy ETL for the Analytics Department. It does a good job partitioning our data so we can query smaller time frames without having to sit around for hours waiting. It also allows our data team to focus on their actual work rather than constantly fixing broken clusters which is nice.
Effortless Data Processing with Exceptional UI
What do you like best about the product?
I like how Databricks Data Intelligence Platform makes it easy to work with large amounts of data. It has strong support for time-series data analysis, which is our main use case, allowing us to analyze data over time, make trend analysis, and improve forecasting accuracy. I appreciate its better, user-friendly interface, which makes it easy to start with the setup. Also, it has improved prediction accuracy and reduced our data processing time with its low latency.
What do you dislike about the product?
everything seems good to me as of now. But one improvement that can be done is better documentation and community support.
What problems is the product solving and how is that benefiting you?
I use Databricks Data Intelligence Platform to process and analyze large datasets, improving prediction accuracy and reducing data processing time with its low latency. It simplifies handling complex and time-series data, making trend analysis and forecasting more accurate.
Excellent Platform for Scaling LLMs and Managing Multi-Cloud Data
What do you like best about the product?
This platform is excellent for scaling large language models (LLMs) and generative AI applications. It offers a unified location to manage security and access data files across multiple cloud environments.
What do you dislike about the product?
Databricks is designed for handling large data sets, so using it for smaller tasks can feel excessive.
What problems is the product solving and how is that benefiting you?
This tool removes the long wait times marketers often face when they need a data engineer to create even a basic report. It also enables us to develop our own AI models using our internal documents, all while maintaining security and peace of mind.
Powerful EDA Tool with Interactive Notebooks
What do you like best about the product?
I like its usable interface and the interactive notebooks that support SQL and Python for visualization in one place.
What do you dislike about the product?
For learners it may be difficult for beginners and cost may rise quickly
What problems is the product solving and how is that benefiting you?
I use Databricks Data Intelligence Platform for EDA on large datasets. It processes large sets of data for analysis, and I like its usable interface and interactive notebooks that support SQL and Python for visualization.
Collaborative Notebooks and MLflow Integration Boost Productivity
What do you like best about the product?
The collaborative notebooks are quite useful. My team is able to write both Python and SQL within the same notebook, which really helps speed up our development cycle. The integration with MLflow is, in my opinion, the standout feature.
What do you dislike about the product?
There was nothing I disliked; everything worked as expected.
What problems is the product solving and how is that benefiting you?
We utilized this tool to develop predictive models aimed at optimizing our supply chain.
Unified Data Management and Cost Savings with Databricks
What do you like best about the product?
We handle sensitive financial data across both Azure and AWS. Before using Databricks, our access control was disorganized, with a confusing mix of different IAM roles. The lakehouse architecture now allows us to keep our data in one place, so we no longer need to move it to a separate warehouse. This has helped us avoid the extra storage costs that would have come with maintaining a separate warehouse.
What do you dislike about the product?
The only problem I have encountered is with the pricing; otherwise, I haven't faced any other issues.
What problems is the product solving and how is that benefiting you?
This is an excellent solution for centralizing data governance and ensuring compliance with banking data requirements.
Databricks Data Intelligence Platform actually works and saves money
What do you like best about the product?
The autoscale works well; it also helped us reduce the cost of using cloud resources. I thought that was going to be a problem since this is the first time we used autoscale. The support has been good enough, they normally appear on time for their scheduled hours to assist us in fixing the problems we create. The ability to save the query history in order of how the queries were written is nice as I often forget what I write a few minutes after writing it. When working with coworkers who need access to your code you can send them the permalink (link) to the code which is better than having to explain it. Since it supports both Spark and Presto within one tool I do not have to jump between tools.
What do you dislike about the product?
I hate the way the search function works. I have never found the results from a month ago, and it is annoying. The UI will occasionally lag behind my typing, and if I am in a rush I feel it takes too long. Also it would make much more sense for the tables drawer to remain open when I click on the notebook and instead of closing automatically which is very time consuming as I need to reopen it again. I have had the support team tell me they cannot replicate an issue which is no help at all.
What problems is the product solving and how is that benefiting you?
We are able to process large amounts of data using Databricks without having to build out a large ops team to manage our clusters. We can scale up and down so we only pay for the time we are running jobs in the cloud. I use it to see sales numbers on a daily basis although I am not a data engineer. Databricks allows us to run pipelines with Airflow without all of the things crashing right away. Databricks reduces the amount of admin work involved in building and managing clusters.
Effortless Workflow Management with Databricks Data Intelligence
What do you like best about the product?
As a tour and travels organization our goal is to provide seamless and fast experience to our customers. With Databricks Data Intelligence we can track and manage our internal workflow very efficiently, as it gives a very brief report our analytics. We often uses it to scale our business and security. It's UI is very clean and easy to understand dashboard gives us total freedom of our management.
What do you dislike about the product?
The cost is greater compared to similar platforms.
What problems is the product solving and how is that benefiting you?
In today's world, where AI is becoming increasingly prevalent, it offers many useful features that help save time and automate much of our work efficiently.
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