Databricks Data Intelligence Platform
Databricks, Inc.External reviews
674 reviews
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Excellent ML Features and Data Controls in Databricks
What do you like best about the product?
Databricks offers useful features for machine learning engineers, such as the ability to use compute pools to run workloads efficiently. In addition, it includes the Unity Catalog, which is an excellent tool for managing data access controls.
What do you dislike about the product?
The product would benefit from having more built-in functions that are specifically optimized for GenAI use cases.
What problems is the product solving and how is that benefiting you?
We successfully consolidated data from multiple ERPs onto a single platform, which enabled us to use this unified data for data engineering, reporting, machine learning, and GenAI use cases.
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.
Impressive AI Features and Unified Lakehouse Architecture
What do you like best about the product?
The recent AI features are quite helpful and also the unified lakehouse architecture.
What do you dislike about the product?
A bit tough for those new to spark or from a non tech background especially the table view.
What problems is the product solving and how is that benefiting you?
unified data platform for all my data from gsc to bigquery to data warehouse and datalake. Super high processing speed. Easy to use and understand with a clean UI. the AI query mode is very helpful and kind of addictive lol.
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.
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.
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.
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.
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