Databricks Data Intelligence Platform
Databricks, Inc.External reviews
672 reviews
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External reviews are not included in the AWS star rating for the product.
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.
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.
Unified, User-Friendly Platform That Accelerates Data Insights
What do you like best about the product?
What I like best about the Databricks Data Intelligence Platform is how it brings everything data engineering, analytics, and machine learning together in one unified environment. It’s very user-friendly despite being powerful, and it makes collaboration between technical and non-technical teams much easier. The platform handles large volumes of data efficiently, scales smoothly, and integrates well with cloud services, which saves a lot of time and effort. Overall, it helps turn raw data into meaningful insights faster without making the process overly complex.
What do you dislike about the product?
One thing I dislike about the Databricks Data Intelligence Platform is that it can feel complex and overwhelming for new users, especially those without a strong technical background. The learning curve is quite steep, and it takes time to fully understand how to use all the features effectively. Additionally, the pricing can become expensive as usage scales, and cost management isn’t always very transparent. Sometimes, debugging errors or performance issues can also be challenging, particularly in large or highly integrated workflows.
What problems is the product solving and how is that benefiting you?
Databricks Data Intelligence Platform solves the problem of working with fragmented data systems by bringing data engineering, analytics, and machine learning into a single, unified platform. Instead of managing multiple tools, everything is available in one place, which reduces complexity and data silos. This benefits me by saving time, improving collaboration across teams, and enabling faster access to reliable insights. It also handles large-scale data processing efficiently, allowing better decision-making based on real-time and accurate data rather than delayed or incomplete information.
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.
Versatile Coding and Pipeline Creation Made Easy
What do you like best about the product?
Databricks is very helpful for writing code in various languages, including SQL and Python, among others. It is also valuable for building pipelines and creating new notebooks, which assist in designing complex queries.
What do you dislike about the product?
The cost of the cluster we use is somewhat high, which restricts the amount of code we are able to run and execute.
What problems is the product solving and how is that benefiting you?
In Databricks, we have the flexibility to write a combination of both Python and SQL code, which makes it easier to break down complex queries into smaller, more manageable parts. Additionally, Databricks supports integration with external platforms like GitHub, allowing us to map the code path for pipeline execution.
Outstanding Analytics and Seamless Integration Across Platforms
What do you like best about the product?
This tool can be implemented on nearly any platform and provides a wide array of integrated analytical features. It offers a thorough set of analytical functions that make operations easier and deliver a comprehensive perspective on the technology. Its performance in big data analytics is outstanding, as it is built to handle and process vast quantities of information efficiently.
What do you dislike about the product?
It requires a bit more time for a database administrator and is somewhat difficult to configure when migrating infrastructure. Sometimes some adjustments are necessary to find the exact solution.
What problems is the product solving and how is that benefiting you?
I have used this tool for marketing analysis, and it has significantly simplified working with large datasets. It offers support for various natural language processing tasks and includes a fast query processing engine. From my experience, it stands out as the best tool for high-performance analytics work.
User-Friendly Platform with Outstanding Support
What do you like best about the product?
I have used approx. number of Data Analytics platform but the user friendly enviornment and features of Databricks gives always reliable and satisfactory experience to me that gives a confidence to handle large data sets without any problem.
What do you dislike about the product?
Never have any issue with their services instead they gives a best user support to us to manage all our AIML integrations and new AI implementations.
What problems is the product solving and how is that benefiting you?
We have mainly use Databricks for our data warehousing and analytical use cases and also their multiple features like AIML and ETL integration gives best infrastructure to manage all data related task at one place without any issue and confusion.
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