Databricks Data Intelligence Platform
Databricks, Inc.External reviews
647 reviews
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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.
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.
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.
Pricing Issues Mar a User-Friendly Experience
What do you like best about the product?
I find the Databricks Data Intelligence Platform fairly easy to use and set up. The initial setup was pretty seamless and easy, which I appreciate.
What do you dislike about the product?
I don't like that we got really screwed on pricing. Their pricing setup seemed to be based on assumptions that were completely wrong. Their calculator for consumption was way off, like 10x off, and when we entered into the contract, they didn't offer a good remedy for how far off it was. This has made me consider going back to Snowflake because of how poorly this was handled. Plus, their calculator just isn't correct, so be careful with it.
What problems is the product solving and how is that benefiting you?
Databricks Data Intelligence Platform helps by crunching the numbers, making it easier for us to handle data analysis for our machine learning models.
Outstanding All-in-One Analytics with Intuitive UI and Impressive Speed
What do you like best about the product?
I like that it's fast, and excellent all-in-one analytics solution, with excellent scalability that reduces time to market. The user interface is intuitive and perfect for users with varying skill levels. I also like that the database has the ability to terminate or time out instances, which helps us manage costs.
What do you dislike about the product?
I have no complaints about this tool; it allows us to run code efficiently without getting bogged down by infrastructure or optimization concerns. Additionally, there is a wealth of helpful training resources available for both developers and data scientists.
What problems is the product solving and how is that benefiting you?
Databricks serves as our main data platform, allowing us to collect, standardize, clean, transform, and refine our various data sources. Its workflow capabilities have enabled us to automate repetitive tasks and build internal applications using reusable workflows.
Powerful unified data platform with great collaboration
What do you like best about the product?
Databricks is easy to use and simple to get started with, even when handling large amounts of data. It brings everything like data processing, analytics, and AI into one place, so my team do not need multiple tools. The platform integrates smoothly with common tools like BI dashboards, workflows, and cloud services. Its notebooks make day to day work frequent and convenient by allowing our teams to collaborate in real time. There are many built in features for data, analytics, and machine learning without added complexity. Customer support, documentation, and community resources make it easier to solve issues quickly.
What do you dislike about the product?
Databricks can be expensive and unpredictable in cost, especially for small teams if workloads run longer than expected. It takes technical expertise to set up, manage, and optimize performance, which can be challenging for non-technical users. Costs need frequent monitoring since compute and storage are billed separately. While it has basic dashboards, it still depends on tools like Power BI or Tableau for full reporting.
What problems is the product solving and how is that benefiting you?
Databricks solves the problem of managing data across many different tools by putting everything in one place. This saves time, reduces confusion, and makes it easier for teams to work together. It helps us handle large data smoothly, keep access and security under control, and get useful insights faster even for people who are not very technical.
Unified Data Platform That Simplifies Complex Workflows
What do you like best about the product?
What I like best about Databricks is how it brings data engineering, analytics, and machine learning together on one platform. Having a unified environment built around Apache Spark makes collaboration between data teams much easier. The Lakehouse approach works well because it removes the need to move data across multiple tools. Performance is strong for large datasets, and notebooks make experimentation, analysis, and collaboration more efficient. Overall, it simplifies complex data workflows while still being powerful.
What do you dislike about the product?
The main downside is the cost and complexity for new users. Pricing can be hard to predict, especially when workloads scale unexpectedly, and compute costs can rise quickly if not monitored closely. There is also a learning curve for teams that are not already familiar with Spark or cloud-based data platforms. Some advanced configurations and optimizations require experienced resources, which can slow adoption for smaller or less mature data teams.
What problems is the product solving and how is that benefiting you?
Databricks helps us solve the problem of working with large, fragmented datasets across different tools and teams. Earlier, data engineering, analytics, and machine learning were handled in separate systems, which created silos and slowed down insights. With Databricks, we can process, analyze, and model data on a single platform, which improves collaboration and reduces data movement.
From a business perspective, it helps us generate insights faster, scale analytics as data grows, and improve data reliability. This leads to quicker decision-making, more consistent reporting, and better use of data for forecasting and optimization, while reducing operational overhead.
From a business perspective, it helps us generate insights faster, scale analytics as data grows, and improve data reliability. This leads to quicker decision-making, more consistent reporting, and better use of data for forecasting and optimization, while reducing operational overhead.
It is a very expensive cloud stack but it does deliver the right performance along with it
What do you like best about the product?
Databricks Data Intelligence Platform is very reliable and that is nice to know that cloud native architecture did not go down right after I deployed it on kubernetes. Honestly, I thought the python/r integration would be busted so that was a shock to find that both ran with out any lag.
What do you dislike about the product?
Those license prices are criminal for what you receive. Additionally, the “cas server” management of the product has been an absolute pain to try and figure out. I spent two hours just trying to understand how to use the sessions. There is no straight shot of getting help from the documentation or google.
What problems is the product solving and how is that benefiting you?
That saves me from having to load up heavy software onto my laptop because it loads into the browser. I am able to at least somewhat manage the inventory information without opening 10 different tabs.
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