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Boosting efficiency with the unified data and AI ecosystem
What do you like best about the product?
Databricks scalability features allowed us to process millions of rows of customer data efficiently. We use utilized Databricks to build a customer segmentation model for an e-commerce platform. Here we identified targeted groups by analyzing purchase history, browsing behavior and other related data. The huge amount of data can be visualized using in-built visualization tool in Databricks, which was incredibly helpful in exploring patterns and presenting insights.
What do you dislike about the product?
I personally reached out to support when debugging data pipeline issues. But the issue got resolved in no time, preventing delays in the project.
What problems is the product solving and how is that benefiting you?
The platform has helped us to automate data aggregation and pre processing, which results in cutting down the time spent on repetitive task by nearly 30%. Also, it's support for real time data updates insured that the result were always based on the most current data.
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A fantastic serverless data warehousing platform is Databrick data intelligence
What do you like best about the product?
Databricks data intelligence is really fast and can handle large amounts of data easily, you can run complex Sql quries on huge datasets in seconds without needing to worry about managing serves or infrastructure, everthing is taken care of for you, like maintance and backups, so you don't have to think about that either. It also works smoothly with other parts of the databricks, making it easier to build software workflows and data piprlines for analyzing and managing your data.
What do you dislike about the product?
Databricks can be hard for beginners, if they don't know Sql. it can also get expensive and complicated for many users.
What problems is the product solving and how is that benefiting you?
Managing data from different places like on premises the cloud or third party services can be tricky, but with databricks, it makes combing and analyzzing all that data easy. This saves time amd reduce a lot of complexity.
Faculte using the platform
What do you like best about the product?
The practice and how simple is to use the platform.
What do you dislike about the product?
About the platform, I didn't dislike nothing.
What problems is the product solving and how is that benefiting you?
Using the DIP my work time was optimized and the solutions came more faster.
Ease to use for data management
What do you like best about the product?
I have very great experience with Databricks and I love to work on their platform. Their supptive nature make data visualization easy provide hassle free services.
What do you dislike about the product?
The integration of vanta provide ease implementation and also gives best ML algorithm to work on big data analytics.
What problems is the product solving and how is that benefiting you?
Overall, my experience with databricks data management system is really great and I am satisfied with their features and pricing that fullfill our all business needs and requirements.
Excellent platform for data professionals
What do you like best about the product?
With Databricks, my experience has incresead a lot! It's wonderful how simple are to share my work with peers and use incredible tools with a great performance when it's processing huge pipelines of data.
What do you dislike about the product?
Nothing to say at this time, the platform are perfect
What problems is the product solving and how is that benefiting you?
Databricks solve the problem of share information and work together with other people. Before my team had a lot of issues when we needed to backup each other in difficult tasks. Now, anyone can help, see and develop in the project.
Perfect solution for Data Insights
What do you like best about the product?
The reliability and user interface of Databricks gives next level of experience to working on it. Their infrastructure gives multiple features and ease to integrate option where we directly connected them with our cloud system.
What do you dislike about the product?
Their pipeline and data governance tool make work more ease and effective that gives high quality insights to our operational team.
What problems is the product solving and how is that benefiting you?
Their , ML infrastructure and new updated features provides a quality of services with reliable experience. I really refer Databricks with my social and personal group.
Databricks Intelligence Change the data perception
What do you like best about the product?
its unified approach to data management, allowing seamless integration of data warehousing, data lakes, and machine learning capabilities on a single platform, making it easy to work with diverse data types while maintaining high performance and scalability, all while offering a user-friendly interface with natural language features for simplified data exploration and analysis.
What do you dislike about the product?
its relatively high cost, especially for smaller organizations, potential complexity in managing cluster configurations, challenges with identifying error sources within large data pipelines, and occasional difficulties with integrating with other tools, particularly for data visualization purposes.
What problems is the product solving and how is that benefiting you?
reducing costs, improving data quality, and accelerating decision-making processes across an organization
Highly Recommended Data Intelligence platform
What do you like best about the product?
They have very good product features and different type of Integrations and customer support is also support. your ticket will be ressolved within minutes.
What do you dislike about the product?
Home screen User Interface they can improve and for the first time user they can definitely add the learning or guide features
What problems is the product solving and how is that benefiting you?
We used this software for BDA for our business where we deal with huge database on daily basis and to find out some outcomes and patterns . which will be passed on to our data science team and after further verification we use those finding in our new product development cycle.
All in all Data Intelligence software
What do you like best about the product?
I liked the lakehouse architecture and performance of data warehouse helps to analyse data in large scale and it can be integrated with AWS, gcloud , azure , and MLflow integration feature was good.it also usable with tablue and database sql.
What do you dislike about the product?
Prize is high and not suitable for small companies
What problems is the product solving and how is that benefiting you?
We used this tool for analyzing data in large scale for that this tool was efficient
Ideal for large-scale data processing and collaboration
What do you like best about the product?
I like the way Databricks does data management, all in one place. What it does is it unites the data engineers and data scientists on the same platform to collaborate and solve problems quickly. Scaling became effortless thanks to the integration with tools like AWS, as well as keeping up with the progress in the notes continues to keep us all on the same page in the notes. It’s helped remove communication issues and it’s helped take care of things faster.
What do you dislike about the product?
Databricks has one downside and that is the learning curve, especially for people that want to get started with a more complex configuration. We spent some time troubleshooting the setup, and it’s not the easiest one to begin with. The pricing model is also a little unclear, so it isn’t as easy to predict cost as your usage gets bigger. At times that has led to some unforeseen expenses that we might have cut if we had better cost visibility.
What problems is the product solving and how is that benefiting you?
We’ve seen Databricks drastically improve our efficiency. Now we can manage large datasets, run machine learning models, and work in real time but without worrying about working with different tools. It’s allowed us to simplify our data pipeline and speed up decision making, which has been a big win for the team. At the same time, this has allowed faster product development cycles all the way to shorter time to market for new features.
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