Databricks Data Intelligence Platform
Databricks, Inc.External reviews
669 reviews
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Effortless Data Insights and Governance
What do you like best about the product?
I like the Databricks Data Intelligence Platform for its data governance capabilities. The platform supports machine learning applications and offers helpful autofilling features. I also find the quick analytics code support to be a valuable aspect.
What do you dislike about the product?
I find it problematic that if the tables have two similar attributes and I need to choose another which isn't many-to-many, it can't handle that yet. Also, when I ask for the keys of a table, whether foreign or main, it's not able to provide the correct key.
What problems is the product solving and how is that benefiting you?
Databricks Data Intelligence Platform reduces the time to find relationships between tables.
Databricks -Scalable Data
What do you like best about the product?
1. Easy for data teams once set up; notebooks, SQL, and dashboards work smoothly in one place.
2. Used frequently for data engineering, analytics, and ML workloads.
3. Implementation is structured and scalable, especially on cloud environments.
2. Used frequently for data engineering, analytics, and ML workloads.
3. Implementation is structured and scalable, especially on cloud environments.
What do you dislike about the product?
1. Customer support quality depends on the support tier purchased.
2. Too many advanced features can feel overwhelming for smaller teams.
3. Initial setup and architecture planning take time and skilled resources.
2. Too many advanced features can feel overwhelming for smaller teams.
3. Initial setup and architecture planning take time and skilled resources.
What problems is the product solving and how is that benefiting you?
1. Helps me make faster, data-driven decisions with scalable and trusted data pipelines.
2. Handles large data volumes reliably, supporting daily and recurring workloads.
3. Reduces time spent managing infrastructure so I can focus on insights and outcomes.
2. Handles large data volumes reliably, supporting daily and recurring workloads.
3. Reduces time spent managing infrastructure so I can focus on insights and outcomes.
Unified Platform Enhances Data Collaboration and Processing
What do you like best about the product?
I like the Databricks Data Intelligence Platform because it's a unified, scalable platform for data engineering, analytics, and collaboration. It simplifies the process of building and running data pipelines, handles performance-intensive Spark workloads, and promotes collaboration across teams with shared notebooks and environments. It's great for managing and processing large datasets, improving performance, and providing a consistent platform for turning raw data into insights. The initial setup was easy, thanks to helpful documentation.
What do you dislike about the product?
It can improve in areas like startup time for clusters, deeper visibility into performance tuning and clearer documentation for advanced configurations.
What problems is the product solving and how is that benefiting you?
I use the Databricks Data Intelligence Platform for large-scale data processing and analytics. It simplifies building reliable data pipelines, handles Spark workloads efficiently, reduces operational overhead, and enables team collaboration with shared notebooks. It's great for turning raw data into actionable insights.
Outstanding Experience with This Software
What do you like best about the product?
Databricks data intelligence is a platform that helps in accommodating all of our business and official data and share it with different team departments so that they can analyse it and create a detailed analytics of past performances and also make required changes on it for future growth.
What do you dislike about the product?
One of the major challenge that we face while working with Databricks data intelligence platform is that you cannot use this tool with a single data scientist you will have to keep a team of professionals who can deal with large data and create multiple graphs and analytics according to available information and this complete activity involves lot of financial investment
What problems is the product solving and how is that benefiting you?
This software help us in making sure that all the data of different departments are accommodated in a same software so that access can be easier and decisions can be taken much quicker. With the help of this tool data of all the departments like finance, operations, sales and marketing are screend in one time and thoroughly interchecked too.
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.
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.
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.
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.
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