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.
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
Ai driven big data and Ml in one place !
What do you like best about the product?
I really like databricks 's integration with Apache spark which helps us in analysing large datasets fairly quickly . And It feature of unifying different data sources in one places is also my favorite feature of this tool.It also has very advanve Machiene learning which helps our data scientist and analyst to work in sync.Also its costumer support is very helpful too.
What do you dislike about the product?
It is definately not for beginners in dataset operations , needs a highly skilled person to do the job.Other than that there can be high cost because it need resources so for small companies it might not be good fit.
What problems is the product solving and how is that benefiting you?
Databricks helps us in collecting all the data sets from different sources which further helps us in simplifying workflows and improved collaboration in team.Also its integration with Apache Spark is very helpful for processinf big amount of data very quickly.
Powerful Analytics Platform
What do you like best about the product?
I like the scalability and flexibility Databricks provides for large datasets. It easily integrates with cloud storage platforms like AWS and Azure. This helps our team implement and analyze massive datasets quickly.
What do you dislike about the product?
The pricing can be high for smaller organizations, making it less accessible to smaller projects.
What problems is the product solving and how is that benefiting you?
The integration with various data sources and AI tools has simplified our complex workflows, which has led to faster project completion and overall business growth.
Best platform for data engineers !
What do you like best about the product?
It has been great platform for our company . It works on real time data collection tech and ai . Its monitoring feature works excellently for data analysis and data distribution. Its scalability can be increased with large data volumes very smoothly. Its ability to improve frequency and pipeline has really good thing.
What do you dislike about the product?
I find that it will need some learning curve at the beginning other than that its great tool.
What problems is the product solving and how is that benefiting you?
Databricks has been great tool for data processing Big data and ML . It is very helpful in complex data workflows management in team. It also supports ai based insights that are way faster and accurate than manual . It sorts our issue of collboration between teams of data.
Unified environment for data engineering, ML and analytics
What do you like best about the product?
- handles large datasets and complex workflows
- using apache spark for efficient processing
- using apache spark for efficient processing
What do you dislike about the product?
- learning curve for new user
- cost is an additional factor
- cost is an additional factor
What problems is the product solving and how is that benefiting you?
- helps in managing large scale datasets, data processing and data validation
- solving data science business problems
- helps in customer report generation and dashboarding
- building pipelines for ETL
- solving data science business problems
- helps in customer report generation and dashboarding
- building pipelines for ETL
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