Databricks is used for transformations and streaming data processing. We utilize it primarily for data analytics, including the use of Delta Lake and Delta Life tables for ETL processes, dashboards for analysis, and the Unity catalog for role management.
Databricks Data Intelligence Platform
Databricks, Inc.External reviews
640 reviews
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External reviews are not included in the AWS star rating for the product.
Robust features for enterprise level workflows
What do you like best about the product?
Databricks is one of the most easy to use product for data scientists and engineers. The collaborative workspace is a stand out feature of this product which allows our team to share notebooks, visualise data together and manage produts. My team used Databricks to build a predictive model for customer churn analysis. Features like AutoML accelerated model development and integration with Azure Data Lake made it easy to pull in live data streams.
What do you dislike about the product?
During an implementation project, our team struggled to configure cluster settings to optimise cost and performance. We wasted time troubleshooting issues because the documentation didn't provide clear guidance on this specific case.
What problems is the product solving and how is that benefiting you?
It's scalability has been a game changer for our organisation. By leveraging its cluster computing capabilities, we can handle large data set efficiently which enables quick analysis of project and provides valuable insights.
Big Data processing using Databricks
What do you like best about the product?
the best feature in this tool is end to end machine learning life cycle ,and api for data processing. This tool also have Delta sharing and cross-functional collaboration by this big data can be processed efficiently.
What do you dislike about the product?
We cant process specific use cases in data processing and also this tool is not affordable
What problems is the product solving and how is that benefiting you?
We used this product because of data reliablility and security, this tool has high security and high speed data processing
The tool that made data management easier for us
What do you like best about the product?
One thing that strikes me about Databricks is the fact that the platform offers robust methodologies for working with big data while maintaining tremendously high efficiency. I also like how it can be set up to work with multiple jobs at once and is highly beneficial for working on different kinds of datasets in parallel. The integrated collaboration tools enable multiple authors to edit a given document simultaneously hence enhancing the flow of information in the team.
What do you dislike about the product?
The issue that Databricks could address is the insufficient tools for identifying and addressing problems. While the platform is useful, it’s sometimes not clear where errors lie, meaning that faults might not be as easy to identify. It can result in further time consumed in error analysis in large processes arrangements since these classifications are vague. At times it seems as though there is great strain to searc original solutions thereby slowing the process.
What problems is the product solving and how is that benefiting you?
It has been difficult to perform data tasks end to end but with the help of Databricks the problem has been solved. The software has highly facilitated packing of our repetitive work like data cleaning and formatting, hence save more time on crucial parts of the projects. Not only this automation has saved our time but also has made our process highly standardized later on. The aspects of speed and accuracy have, therefore, proved beneficial in helping the business make faster decisions with data.
The best Data-intelligence platform
What do you like best about the product?
We used this platform last year , the data analysis of unified data , and with the use of artificial intelligence , it has very high security and it is scalable for data teams.the performanace of this platform is best feature
What do you dislike about the product?
Some time minor bugs and error shown , price is little bit expensive , but it is worth
What problems is the product solving and how is that benefiting you?
Before using this platform it is very hard to data processing and all and after using this time and manpower saved.
Databricks Data Intelligence Platform Review from Zoho
What do you like best about the product?
We are using this Platform for the lakehouse architecture that for processing data lakes and datawarehouses is a powerfu feature , and also for better scalabality and performance
What do you dislike about the product?
not beginner freindly and cost is also expensive
What problems is the product solving and how is that benefiting you?
We are using it for data analytics and big data , this platform is increasing out productivity
"A Game Changer For DDO"
What do you like best about the product?
Databrick is very user friendly, and i find it to be very benificial. The feature i like the most is MLflow as it allows us to keep record of machine learning models. It also processes data very quickly and reduces workload, which is very helpful. Additionally it is cost efficient, and multiple team can collaborate easily.Its Spark support, ML pipelines and DL make it an even more powerful tool for DDO.I find it to be a perfect platform.
What do you dislike about the product?
There is nothing in it that is worth disliking. But in my opinion, for beginners, understanding its interface and features can be difficult at first, but otherwise, it is a fantastic platform, and its features are very powerful
What problems is the product solving and how is that benefiting you?
I didn't face any issue with it, but if i had to, Databricks 'customer support is excellent. I found their higher plan to be very benificial as i received a quick response from customer support, and the phone support is outstanding.
Transformative data analytics with enhanced AI functionalities and good value for money
What is our primary use case?
How has it helped my organization?
Databricks improves our data analysis tasks with its powerful functionality, offering real-time analytics and machine learning features that help improve model accuracy. It is easy to use, which helps in saving time and, ultimately, costs.
What is most valuable?
The most valuable features of Databricks include the Delta Lake, a user-friendly interface, Delta Life tables for ETL, dashboard features for analysis, and the Unity catalog for role management. It also offers AI functionalities that assist with code management and machine learning processes.
What needs improvement?
While Databricks is generally a robust solution, I have noticed a limitation with debugging in the Delta Live Table, which could be improved. The issue with Delta type tables not loading into multiple places in a single pipeline has been fixed recently.
For how long have I used the solution?
I have been working with Databricks for four years.
How are customer service and support?
We regularly contact Databricks support and are satisfied with their service. I would rate them eight out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup was straightforward after the first week. Deployment processes became quick and efficient using Git.
What's my experience with pricing, setup cost, and licensing?
In terms of cost-effectiveness, Databricks is worth the money.
What other advice do I have?
I'd rate the solution nine out of ten.
Scalability of data bricks helped me a lot in enhancing my work quality
What do you like best about the product?
Databricks significantly enhances my work by providing a "unified platform" that integrates various data sources and supports multiple programming languages, simplifying the development and management of ETL workflows. Its scalability, powered by Apache Spark, allows for horizontal scaling to handle increasing data volumes efficiently. Additionally, the collaborative notebooks foster teamwork among data engineers, scientists, and analysts, streamlining communication and accelerating workflow development.
What do you dislike about the product?
I can say about the dislikes of data bricks that
-Cost Management Complexity:
Scaling can lead to unexpected costs if not monitored closely.
- Management Overhead:
Large clusters increase complexity in management and configuration.
- Performance Variability:
Improper configurations may lead to inefficiencies and longer runtimes.
-Cost Management Complexity:
Scaling can lead to unexpected costs if not monitored closely.
- Management Overhead:
Large clusters increase complexity in management and configuration.
- Performance Variability:
Improper configurations may lead to inefficiencies and longer runtimes.
What problems is the product solving and how is that benefiting you?
the collaborative notebooks foster teamwork among data engineers, scientists, and analysts, streamlining communication and accelerating workflow development.
Enhancing data integration and processing across cloud services with seamless transformations
What is our primary use case?
I work in a project where I build data pipelines using Azure Data Factory. I ingest data from on-premises to Azure Data Lake. After that, I perform transformations using Databricks notebooks and Spark, building the Databricks bronze, silver, and gold layers. We export reports from the gold layer.
How has it helped my organization?
Recently, we started using Databricks in our organization. It helps integrate data science and machine learning capabilities.
What is most valuable?
The Unity Catalog is a central governance for all data around the workspaces, and also Databricks' integration capabilities with cloud services like Azure Event Hub and Azure Data Factory. It is user-friendly for data processing, and Spark is a strong language for big data processing.
What needs improvement?
Performance could be improved. It is crucial to check coding, configure Spark correctly, implement caching, and monitor performance metrics to enhance performance.
For how long have I used the solution?
I have used Databricks for over two years.
What do I think about the stability of the solution?
I would rate stability as eight out of ten. It is quite stable.
What do I think about the scalability of the solution?
Databricks is perfect for scalability. It is easy to scale clusters.
How are customer service and support?
I haven't faced any issues requiring customer support, so I don't have experience with their customer support.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We used Informatica before, which is perfect for data management solutions. We started using Databricks for its capabilities in data science and machine learning.
How was the initial setup?
I would rate the initial setup as nine out of ten. It is quite easy for someone experienced with Spark.
What's my experience with pricing, setup cost, and licensing?
For my company, it's okay to upgrade to Databricks because it's comparable in price to Informatica. It is not considered expensive for the company.
Which other solutions did I evaluate?
For machine learning, I used Python and its libraries manually. Prior to Databricks, there was no special tool used for these purposes.
What other advice do I have?
If a company focuses on data science and machine learning, I recommend using Databricks. It's a great solution in this field. For data management needs, Informatica is advantageous due to its comprehensive tools.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Microsoft Azure
Superb data analytics and Ai platform !
What do you like best about the product?
It has been very amazing in creating data pipelines for data transformation and data analysis + queries easily in dashboard. It is best for data engineers in our company , they use it daily for implementing ML and setting up workflow using Databricks.
What do you dislike about the product?
I think trial period can be bit enhanced for testing this vast platforms. In terms of functionality i see no issues.
What problems is the product solving and how is that benefiting you?
Databricks played big role in warehouse , ML feature with Ai capabilities for managing workflow in team project . Plus it is very helpful in data transformation and analysis which is very much needed.
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