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High quality of services for monitoring the data.
What do you like best about the product?
Databricks is the favourite one of my data analyticals tools. With databricks we have an option to analyse the data with diffrent view point and also they have AI/ML integration on their platform where we can learn about machine learning very easily.
What do you dislike about the product?
The implememtaion process of Databricks was so smooth and hassle free, Their support and user friendly environement make the more helpful platform for us.
What problems is the product solving and how is that benefiting you?
Databricks have multiple tools and features where we can perform on data analysis and also work on machine langause to opreate the data very effectively. They have ETL tools and data ware house that make our work more responsive and hassle free.
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Streamlining Data Science and Machine Learning Workflows with Databricks Platform.
What do you like best about the product?
What I love most about Databricks Data Intelligence Platform is how user-friendly it is. From easy implementation to excellent customer support, I find myself using it daily without hassle. Its extensive feature set and seamless integration with other tools make my work so much smoother.I also loved how it solved most of the major problems that we use to face as data engineers and ml engineers
What do you dislike about the product?
I find Databricks Data Intelligence Platform a bit challenging to pick up at first, especially if you're new to big data and cloud technologies. Sometimes, navigating through its advanced features can feel a bit overwhelming and less straightforward
What problems is the product solving and how is that benefiting you?
Databricks Data Intelligence Platform has revolutionized my workflows by seamlessly integrating data engineering and machine learning tasks.
Its scalability ensures I can handle large datasets and complex computations with ease, boosting my productivity.
Collaboration features like shared notebooks facilitate real-time teamwork, enhancing our ability to iterate and innovate together.
Built-in support for Apache Spark and ML libraries empowers me to perform advanced analytics and develop sophisticated models efficiently.
Automated infrastructure management saves time and allows me to focus on delivering impactful insights and solutions.
Its scalability ensures I can handle large datasets and complex computations with ease, boosting my productivity.
Collaboration features like shared notebooks facilitate real-time teamwork, enhancing our ability to iterate and innovate together.
Built-in support for Apache Spark and ML libraries empowers me to perform advanced analytics and develop sophisticated models efficiently.
Automated infrastructure management saves time and allows me to focus on delivering impactful insights and solutions.
A well thought out evolving data platform
What do you like best about the product?
The constant evolution of the platform, with customer focused additional features, backed by knowledgable employees and a great community.
What do you dislike about the product?
The providers in the marketplace could be better or a superset of those in Snowflake - would make some migration discussions easier
What problems is the product solving and how is that benefiting you?
It provides a comprehensive platform for data pipelineing, storage and consumption.
Best Online data management platform for AIML
What do you like best about the product?
With datbricks we can manage our all data without any hassle and also they have number of certification courses that provide full guides and new technologies knowledges in affordable and cheap price. Their ease to use interface make them reliable and ease to implementation.
What do you dislike about the product?
With Databricks we get a support inour carrer with their AIMLlearning platform and also they have best tools and integration where we can manage all the data very easily and use them frquently on daily basis.
What problems is the product solving and how is that benefiting you?
Overall with Databricks we can workonmultiple techonolgies related Big data or data science. They have option for ETL and data warehouses and also they have MLOps Platform where we learn new technologies. Their user dashboards and interface make them more reliable and ease to use for us.
Best ETL tool for Data Engineers
What do you like best about the product?
Very fantastic and great platform for data management solution. They have very reliable tools and features that make my work more easier and also their ease to implement features gives reliable and frequent result as we want.
What do you dislike about the product?
Thei integartion is very supportive and good in use. Databricks have the best user interface where we experience reliable and secure platform for data mangement.
What problems is the product solving and how is that benefiting you?
Databricks is the most useful platform for big data analysis and also we can learn more about machinelearning with their ML section where we can develop number of projects very easily. Databricks have option of data warehouse and ETL tool and also their secure platform gives a reliable services.
Lead Developer
What do you like best about the product?
its good tool to load data and extracts everyday
What do you dislike about the product?
it is little bit expensive for spark cluster and their applications
What problems is the product solving and how is that benefiting you?
their way of data governance and everything in the same place
High speed Data Management tool
What do you like best about the product?
Databrics givs a very high speed and effective experienceto manage the huge data without any complexcity. They have number of features and ease to use interface that make them very reliable and user friendly.
What do you dislike about the product?
We use databrics frequently in our company for data mangement.Their ease to use interface gives hassle free solution and great customer suport. We can very easily implement their templates and custom dataset to integrate our project and work on them.
What problems is the product solving and how is that benefiting you?
It is the best ETL tool and their pipelines make the data very friendly and ease to manage. They have multiple features like data warehouse, big data analysis and MLOps platforms etc. Their echo friendly system make them more useful and user friendly data management solution for us.
Databricks platform
What do you like best about the product?
Databricks is a platform where we can implement our spark and ml logics for all our data engineering, analysis and ml workloads with ease
What do you dislike about the product?
There's nothing such but we can have more pipeline kind of things added
What problems is the product solving and how is that benefiting you?
We get everything under a single platform we can say
The new era of Databricks Data Intelligence Platform for all the AI solutions
What do you like best about the product?
Databricks has come up with innovative idea to streamline the idea of creating new solutions that helps the customer leverage their business with their vast services they provide whether it's a retail or fintech, they provide with upbringing and transforming with the public sectors. It has an ease of implementation and integration.
What do you dislike about the product?
There are no dislikes about the Data Intelligence Platform.
What problems is the product solving and how is that benefiting you?
Databricks is revolutionizing the modern industry. As an academia I mostly work to research and build products with Databricks Data Intelligence Platform.
Databricks as a Product
What do you like best about the product?
I have been using Databricks service on Azure platform from the past 3.5 years and have liked the product features and its updates that are rolled out frequently. The updates are also documented well with complete details on the Documentation page.
What do you dislike about the product?
There are few features in Databricks service which will not be available to the users directly. We will have to reach out to the Product team to get this enabled.
What problems is the product solving and how is that benefiting you?
With using Databricks and the workflows feature, we can create pipelines in the workspace itself and with UC catalogs, it is much easier to access the storage account to load the data.
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