Databricks Data Intelligence Platform
Databricks, Inc.External reviews
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What do you like best about the product?
I started with databricks 6 years ago and received more than 10 certifications. I liked a lot data analytics and fast calculations features of databricks. As well integration to other external tools like Power BI for reporting.
What do you dislike about the product?
All features were fine, but more AI-Powered features need to enhace all current features.
What problems is the product solving and how is that benefiting you?
Analytics, fast calculations and reporting.
Comprehensive Data Platform with Flexible Onboarding and Robust Governance
What do you like best about the product?
This is an end-to-end platform that begins with flexible onboarding of data from multiple sources, followed by processing through a medallion architecture. The Unity Catalog is used for governance, cataloging, and tracking data lineage. Databricks SQL serves as the endpoint for use cases such as business intelligence, as well as downstream integration through API endpoints.
What do you dislike about the product?
There isn't anything particularly specific, but in certain situations, we do depend on cloud-native services. For instance, when working on Azure and aiming for comprehensive end-to-end governance, we require Azure Purview.
What problems is the product solving and how is that benefiting you?
As a solution architect specializing in Data & AI, Databricks has become my preferred platform for all things related to data engineering, data warehousing, and analytics. In my experience designing solutions, I have found that Databricks offers a comprehensive suite that meets the majority of client needs. This means there is no need to search across multiple vendors for the best services, as most requirements can be addressed within a single platform.
Seamless Collaboration with Python and Scala Support
What do you like best about the product?
Notebooks support Python and Scala, which gives smooth collaboration across data teams
What do you dislike about the product?
All looks good, what I think is that its UI for beginners is very complex.
What problems is the product solving and how is that benefiting you?
Same like its collaboration across teams and supports multi-cloud data migration.
Unified Data Engineering Platform with Seamless Cloud Integration
What do you like best about the product?
Databricks Data AI is a unified data engineering platform for lakehouse architecture with cloud integration like AWS, Azure, etc
What do you dislike about the product?
As of now, I have not observed any issue in the Databricks DATA AI plaform
What problems is the product solving and how is that benefiting you?
To connect with multi cloud platform. Also easy to collaborate in simple programming languages.
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.
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.
Exceptional Support and Lightning-Fast Data Processing
What do you like best about the product?
They make a real effort to understand our needs, which I value. I am also impressed by how quickly they handle large datasets. They offered essential resources for managing and integrating data, and consistently go above and beyond to support their clients. The speed of data processing was truly remarkable.
What do you dislike about the product?
The implementation process was seamless, and the platform has been functioning perfectly. I have not encountered any problems to date. I am thoroughly satisfied with the tool and, at this time, have no complaints or dislikes to mention.
What problems is the product solving and how is that benefiting you?
This application made it simple for us to connect all our data, which allowed our team to concentrate on more important tasks. It also provides a platform to aggregate and analyze information, helping us maximize the value we get from our data.
Robust Platform for Real-Time Analytics and Large-Scale Data Storage
What do you like best about the product?
This platform is robust enough to handle large volumes of data, supports real-time data analytics, and delivers a variety of solutions. It stands out as an excellent choice for data storage and offers the flexibility needed to work efficiently with sizable datasets.
What do you dislike about the product?
Conditional updates become impractical with large datasets because of the high memory usage during query execution. Additionally, the absence of built-in encryption restricts the options for manually cleaning up containers.
What problems is the product solving and how is that benefiting you?
It is highly reliable in terms of performance and maintenance, providing convenient access to all data. It offers the flexibility to work with massive amounts of data, leveraging basic resources to deliver unparalleled performance. The columnar database structure is ideal for data generation.
All-in-One Data Platform with Seamless Integration and Top Performance
What do you like best about the product?
I like how Databricks brings data engineering, analytics, and AI into a single platform. The Spark and Delta Lake integration is seamless, performance is excellent, and collaboration through notebooks is very smooth. Its tight integration with Azure services also makes data pipelines, security, and scaling much easier.
What do you dislike about the product?
The main downside is the cost, especially when running large or long-running workloads. Debugging complex Spark jobs can also be challenging at times, and fine-tuning performance often requires a good understanding of Spark internals.
What problems is the product solving and how is that benefiting you?
Databricks solves the challenge of processing and managing large-scale data efficiently by providing a unified platform for data engineering, analytics, and AI. It reduces pipeline complexity, improves performance, and enables faster development and collaboration, helping us deliver reliable data solutions with less operational overhead.
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