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Performance of Databricks in Ml - Review !
What do you like best about the product?
I find that Databricks is totally fit for our requirement and budget in even middle level company like us , it uses Python which is easy to work with and databricks provides live datastream into input channels . I find lakehouse features best and also apache spark provides distributed processing for massive amount of data.
What do you dislike about the product?
It suits our company requirements but it needs a bit of patience at beginning with getting used to the processes since it integrates ml , ai and data processing.
What problems is the product solving and how is that benefiting you?
The most important role of datbricks in our industry is apache spark's distributed processing engine.Using it make simpler to us for working with this platform.It handles large pool of data for our Facebook advertisements lead. It unifies different processes that makes our task much easier and made real time processing of data simpler.
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Databricks - Scalability and Performance
What do you like best about the product?
I really like Databricks Genie, It helps me to identify the error and give suggestions to resolve it.
Also If I ask to imrove the current code to faster performance Genie's suggestion are helpful. It helps to implement the ETL logic in effiecient way.
Also If I ask to imrove the current code to faster performance Genie's suggestion are helpful. It helps to implement the ETL logic in effiecient way.
What do you dislike about the product?
Most of the features which I use are helpful but some sql functionalities are not supported such as Update table using join.
What problems is the product solving and how is that benefiting you?
Switching from on-prem server to Cloud with Databricks are beneficial because of follows:
1. On prem major challenge was it's hard maintain the code version and deployment. Using Databricks it's simpler maintain the versions of code and deploy it on different environment(as it's supports GIT)
2. Easy to scale, We can easily scale up and scale down the cluster configuration which causes cost effiecncy, improve in performance in execution.
1. On prem major challenge was it's hard maintain the code version and deployment. Using Databricks it's simpler maintain the versions of code and deploy it on different environment(as it's supports GIT)
2. Easy to scale, We can easily scale up and scale down the cluster configuration which causes cost effiecncy, improve in performance in execution.
A versatile data intelligence platform.
What do you like best about the product?
I liked the MLflow integration with Databricks, as it was a crucial part of churn prediction model for our subscription based service that our team developed. The model analysed customer behaviour data to identify potential risks and suggest strategies against that. Also, the job scheduling feature of DataBricks has automated our data preprocessing tasks, which saved us significant amount of time and efforts.
What do you dislike about the product?
We had trouble while setting up real time data ingestion pipelines. But the issue was resolved within a day because of the quick and detailed guidance by DataBricks customer support team.
What problems is the product solving and how is that benefiting you?
Our customer support team needed a dashboard to monitor tickets resolutions time and customer satisfaction score. Using DataBricks, we build a pipeline that pull data from multiple CRM tools. This has improved our productivity as the data collection and report generation is now automated
Simplify big data challenges for better decision-making
What do you like best about the product?
Recommendation engine for an e-commerce platform was developed by our team with the help of DataBricks. The project involved analysing customer behaviour to suggest products on the website. For this project we are required to process bulk data without any performance issues. That could only be possible with DataBricks as the platform is scalable. We also integrated DataBricks with AWS S3 to access data on cloud.
What do you dislike about the product?
Initially, we faced some challenges as the platform has a learning curve, but when we encountered any challenges, we connect with their customer support team and they provided a detailed guidance on every issues that we had.
What problems is the product solving and how is that benefiting you?
We have multiple sources of data and Databricksh has greatly improved our efficiency by combining all the sources of data into single platform. This has eliminated the need to switch between different tools and saving us hours of work each time.
Best platform for data engineering and data science
What do you like best about the product?
We used Databricks for its features such asreal time data processing and dat exploration tools for visualizing data.AutoML and Mlflow is one of the best AI integration in this platform.This software is cost efficient
What do you dislike about the product?
Limited tutorials for new users , not beginner freindly interface
What problems is the product solving and how is that benefiting you?
We used this platform analyzing and processing big data and process data from various formats, this tool is really great
Databricks - best integration tool
What do you like best about the product?
Databricks data intelligence platform make integration of data engineering, data science, and machine learning into a single environment simplify workflow. Users can easily share data and models in same platform.
Databricks optimize for cloud environment, this flexibility allows organisation to choose their preferred cloud provider.
Databricks has a large and active user community and ecosystem include a wealth of share knowledge resources and third party integration.
Databricks optimize for cloud environment, this flexibility allows organisation to choose their preferred cloud provider.
Databricks has a large and active user community and ecosystem include a wealth of share knowledge resources and third party integration.
What do you dislike about the product?
I have been using this software from while but didn't find any dislike in it.
What problems is the product solving and how is that benefiting you?
Databricks support integration with wide range of data source, they allow users id easily ingest, process,and analysis data from disparate system.
Exceptional performance for end to end data management
What do you like best about the product?
I used Databricks to optimise customer segmentation strategy for a retail campaign. It helped me to analyse millions of records, clean the data and create the ML model based on purchasing behavior. The Delta Lake technology ensured data consistency during the process. Its ability to integrate with our Azure data lake made is easy to access datasets.
What do you dislike about the product?
Tableau integration with Databricks was challenging and I encountered issues while setting up real-time data visualisation. Despite the challenges, the platform enabled me to automate data pipelines, which saved me hours.
What problems is the product solving and how is that benefiting you?
Our operations team used Databricks to monitor and optimse supply chain performance. It has become an essential tool for us to enhance both individual productivity and team collaboration. Its impact can be felt acoss multiple projects.
Databricks - where you meet with your innovations
What do you like best about the product?
Data bricks excels at handling real time data processing, whichis essentional for application that required immediately insight such as fraud detection or personalize recommdation with its unified architecture.
Databricks provide built in security features such as roled base control encryption at rest in transit, and audit log.
Databricks benefits from a large and active community of data scientists, engineers, and analysts, offering resources like forums, tutorials, and extensive documentation. Additionally, the platform offers robust customer support and professional services to help enterprises implement best practices and solve challenges efficiently.
Databricks provide built in security features such as roled base control encryption at rest in transit, and audit log.
Databricks benefits from a large and active community of data scientists, engineers, and analysts, offering resources like forums, tutorials, and extensive documentation. Additionally, the platform offers robust customer support and professional services to help enterprises implement best practices and solve challenges efficiently.
What do you dislike about the product?
I have been using this software from while but didn't find any dislike in it.
What problems is the product solving and how is that benefiting you?
They continuosly innovation and enhancing its platform with good feature which I did get in my previous software, they solve my access related problems, latest and most effective technology in the data space.
The Best Data Engineering Tool uses Delta Lake
What do you like best about the product?
This tool is very efficient because it using Delta lake. This supports ETL Pipelines and Machine Learning workflows which Guide to extract and transform data into Various forms. And i like the interactive notebooks supporting python language .
AutoML and Delta Lake is best features.
AutoML and Delta Lake is best features.
What do you dislike about the product?
This tool in begining there is complexity for using now it became simople.
What problems is the product solving and how is that benefiting you?
the problems solved this tool , hectic data analysis and processing many type of datas
The gold standard for scalable ML and Analytics
What do you like best about the product?
My team recently used Databricks to implement a machine learning model for fraud detection. We used the Delta Lake for data preprocessing and insured real time updates from our database. One of the most helpful features in Databricks is the Delta Lake functionality, which ensures data consistency. The platform supports both Python and SQL, which fills the cap between Data engineers and Analysts. This makes it easy for teams to collaborate. Customer support is another highlight as they respond quickly and provide clear guidance.
What do you dislike about the product?
While integrating Databricks with our existing Azure Data Lake, we faced issues syncing access permissions for multiple datasets. Additionally, their pricing models makes it better suited for large organisations, but for smaller teams scaling up can be expensive.
What problems is the product solving and how is that benefiting you?
In recent projects our sales and operation teams needed unified view of supply chain metrics. Using Databricks, we collected data from multiple sources and created a centralised dashboard and enabled real time reporting. This improved our decision making speeed and helped us prevent bottlenecks.
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