Databricks Data Intelligence Platform
Databricks, Inc.External reviews
669 reviews
from
and
External reviews are not included in the AWS star rating for the product.
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.
Severe Pricing Miscalculations and Inadequate Remediation
What do you like best about the product?
The platform itself is relatively easy to use and quick to stand up. Initial setup was straightforward, and core workflows were accessible without excessive configuration. From a purely technical standpoint, the product is usable and well-designed.
What do you dislike about the product?
Databricks needs to take real accountability for pricing accuracy and post-sale remediation. Their usage and pricing calculator was materially wrong for our use case (off by ~10x), and we raised concerns early. We never received the level of attention or corrective action needed to resolve it properly.
We ended up paying more than 10x the expected cost, with only the final quarter partially rebated, which is not a meaningful remedy. Databricks declined responsibility and instead referenced emails sent after the contract was signed, which did not align with when the issue was identified.
This experience has made us seriously reconsider alternatives like Snowflake. My advice to others: be extremely cautious with Databricks’ pricing estimates and assume you will bear the risk if they are wrong. Once the contract is signed, resolution is difficult, and revenue protection appears to take priority over customer outcomes.
We ended up paying more than 10x the expected cost, with only the final quarter partially rebated, which is not a meaningful remedy. Databricks declined responsibility and instead referenced emails sent after the contract was signed, which did not align with when the issue was identified.
This experience has made us seriously reconsider alternatives like Snowflake. My advice to others: be extremely cautious with Databricks’ pricing estimates and assume you will bear the risk if they are wrong. Once the contract is signed, resolution is difficult, and revenue protection appears to take priority over customer outcomes.
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.
showing 21 - 30