External reviews
External reviews are not included in the AWS star rating for the product.
Amazing tool for data processing which uses spark an
What do you like best about the product?
It supports all the cloud platforms i.e azure, Aws and GCP
What do you dislike about the product?
As of now no any negative thing i know about this tool
What problems is the product solving and how is that benefiting you?
We are using databricks platform to run jobs which helps for data processing, Previously job was running on hadoop map reduce which was taking too much of time for processing but now it completes jobs too quickly
- Leave a Comment |
- Mark review as helpful
Interesting Product for Data Science
What do you like best about the product?
Data lineage is one of the valuable features I like in Unity Catalog. It makes it easy for us to do data debugging and analysis of data calculations with access control.
What do you dislike about the product?
Not much, but for ease of understanding, the data lineage visualization section needed some work.
What problems is the product solving and how is that benefiting you?
In the data science project, many times we needed to verify and recheck the calculations of the KPI matrix and what table and transformation were needed for this. We had difficulty tracing back the flow of calculations through the original data. The Unity Catalog directly provides a data lineage feature for this. We can easily determine what data transfer was required and how this KPI matrix was calculated from the original data through the dashboard and graphs with the access control feature.
Most Flexible data platform on the market
What do you like best about the product?
The databricks platform give you a single place to build your data processes. You can scale, adjust and write successful code from any skill level.The customer support we get is very good and helpful in our tactical implementations. Also you can intake data from any platform on the market.
What do you dislike about the product?
The most difficult this is that there isn't a out of work training location unless you stand up your own environment.
What problems is the product solving and how is that benefiting you?
Databricks is solving scale and onboarding issues for us. The size of the data is less and less of a issue and we can focus on writing code that is obtainable to staff.
Databricks - Powerful Product for all Data and AI Needs
What do you like best about the product?
Databricks Data platform is single unified, democratized solution for all data needs, I really like the recently launched SQL warehouse serverless feature where you don't need to worry about ec2 machines provisioning as well in your cloud account. Apart from it, I really like unity catalog , sql alerts, databricks dashboards features and creating automated workflow(jobs flow) either via databricks api or integrating Databricks Airflow operator. The visibility that databricks provide via audit tables like infrastructure cost, checking user activities etc. is something that set it apart. Also Pandas Spark Api provides us feasiblity to use distributed computing in existing python pandas code without much changes.
What do you dislike about the product?
Sometimes there are unplanned downtime for the platform which irritates us. Some documentation pages lacks examples. The AI assistant right now only able to solve/give sql responses only for simple sql asks. In cases of complex sql and sql failures, the `Diagnose error` is not relevant.
What problems is the product solving and how is that benefiting you?
The benefit that we are getting from databricks platform is that we don't need to manage inhouse spark plus cataloging service and we as a data team can focus more on generating useful insights from raw data. Using Databricks All Purpose clusters, we are able to provide our customer (Business Analytics, Product, Backend) separate clusters to do adhoc analysis such that one system doesn't impact other one. We are able to generate quick ROI in terms of performance and less query errors while migrating from Amazon redshift to databricks
Best technology for data engineers to analyse with more proficiency
What do you like best about the product?
The user experience or interface of Databricks is very useful and great, they provide many automated tools and integration to use Databricks with ease.
What do you dislike about the product?
As Data Engineer, we frequently use them in our projects and also integrate with clouds like AWS to work on certain projects with the team.
What problems is the product solving and how is that benefiting you?
We can perform maximum tasks with Databricks without any hassle solve our data queries easily and also handle all data without any error or problem.
Databricks Current User
What do you like best about the product?
Benefits of using Databricks:
1. Git integration - Seemless
2. Delta - A lot of features not available in open source version
3. UI is a positive
4. Integration with IDE
5. Can be used for many use cases ranging from Data engineering to AI/ML and reporting.
6. Support for multiple languages
7. Customer Support is good - Databricks support is knowledgable and resourceful.
1. Git integration - Seemless
2. Delta - A lot of features not available in open source version
3. UI is a positive
4. Integration with IDE
5. Can be used for many use cases ranging from Data engineering to AI/ML and reporting.
6. Support for multiple languages
7. Customer Support is good - Databricks support is knowledgable and resourceful.
What do you dislike about the product?
Downsides:
1. Steep learning curve
2. It takes time to setup Databricks initially from infrastructure standpoint
3. Partner services try to upsell latest Databricks products which might not be production ready and use case suitable.
1. Steep learning curve
2. It takes time to setup Databricks initially from infrastructure standpoint
3. Partner services try to upsell latest Databricks products which might not be production ready and use case suitable.
What problems is the product solving and how is that benefiting you?
Consolidating many different systems into lakehouse. Unity Catalog provides a very good governance model.
Good product for data engineering.
What do you like best about the product?
A clear architecture that follows a pattern makes the tool easier to use.
Customer service is fantastic; they helped me with every problem I ran across.
Using Terraform for databricks integration and setup greatly facilitates workspace management.
With databricks, creating data products is simple. We have no trouble providing our clients with our product on schedule.
Work is made easier with excellent performance in data intake and curation.
economical: Starting clusters and stopping them after work saves a lot of money compared to using other data performance solutions.
Customer service is fantastic; they helped me with every problem I ran across.
Using Terraform for databricks integration and setup greatly facilitates workspace management.
With databricks, creating data products is simple. We have no trouble providing our clients with our product on schedule.
Work is made easier with excellent performance in data intake and curation.
economical: Starting clusters and stopping them after work saves a lot of money compared to using other data performance solutions.
What do you dislike about the product?
I feel there are no disadvantages in databricks.
What problems is the product solving and how is that benefiting you?
improving the problem of having to spend more money on more data engineering tools. provide prompt, high-quality customer service to enable the team to work more effectively.
An excellent product that solves problems with data and machine learning
What do you like best about the product?
I like this technology because of its great user portal that integrates with AWS and is excellent for machine learning and artificial intelligence. I like managing data and the interface is nice because it gives us a good, complete and flexible working environment.
What do you dislike about the product?
This product still needs improvement, especially in data engineering.
What problems is the product solving and how is that benefiting you?
The problems it solves are data warehousing, data science, management and analysis of large amounts of data. And it is enjoyable to use because it is convenient and allows you to work with large-scale data sets and collaborate in teams.
The solution you should use to analyze and unify your data.
What do you like best about the product?
Databricks is the platform that every company needs if they want to process and analyze their data quickly and securely, the technology it offers allows the organization and safeguarding of data is much easier for the user who uses it, offering management capabilities and a variety of tools that adjust to user preferences.
What do you dislike about the product?
I would like this platform to incorporate much more alternatives based on artificial intelligence.
What problems is the product solving and how is that benefiting you?
since I started using this platform I was able to solve numerous technical problems that I constantly had when processing all kinds of data, I started to protect and secure my company data in a better way.
The software you need to organize your data.
What do you like best about the product?
if you want to improve the control and processing of all your data through a fully centralized platform you should start using this software as soon as possible, its innovative tools and resources will allow you to achieve all your goals.
What do you dislike about the product?
I can say that this platform is great, but I wish I could count new features every week.
What problems is the product solving and how is that benefiting you?
thanks to this software I was able to solve control and data location problems that my company suffered for a long time, it greatly improved the operational performance of all our data.
showing 51 - 60