Databricks Valuable Features

reviewer1276782
Data Scientist at a energy/utilities company with 10,001+ employees
Of the available feature set, I like the Imageflow feature a lot. It is very interesting. It gives me clarity on the execution of a process. I can draw the complete flow from start to finish in the exact way that I want it to execute. It is more visual and it is also easier for the people in businesses where I make presentations to understand. When I demonstrate a process to a business and show them the approach I am taking using code and technical language, then of course not many are going to understand that. But when I show them the process in terms of the graphical layout Imageflow helps provide, then they will be able to understand it much easier. They understand why I am choosing a particular way of executing the process and why I am taking certain steps in the way I have chosen to do it. The point is to help other people understand the solution more clearly. View full review »
RameshCh
Sr. BigData Architect at ITC Infotech
The elasticity of the solution is excellent. The storage, etc., can be scaled up quite easily when we need it to. It's easy to increase performance as required. The solution runs on Spark very well. View full review »
Tristan Bergh
Data Scientist at iOCO
Immense ease in running very large scale analytics, with a convenient and slick UI. This saved us from having to tweak, tune, dive into deeper abstractions, get involved in procurement, and also having to wait for other workloads to run. The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly. The Delta data format proved excellent. Databricks had already done the heavy lifting and optimized the format for large scale interactive querying. They saved us a lot of time. View full review »
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: January 2021.
455,301 professionals have used our research since 2012.
reviewer1462575
Head of Data & Analytics at a tech services company with 11-50 employees
You can spin up an Azure Databricks clustered, and integrating with it is seamless. The integration with Python and the notebooks really helps. View full review »
Abhijith Dattatreya
Business Intelligence and Analytics Consultant at a tech services company with 201-500 employees
The most valuable feature is the ability to switch loads between multiple clusters. Automation with Databricks is very easy when using the API. The ability to write code and SQL in the same interface is useful. It is easy to connect notebooks to a cluster. There are a large number of inbuilt functions that help to make things easier. View full review »
reviewer1438992
Security Consulting, Manager at a computer software company with 10,001+ employees
Databricks helps crunch petabytes of data in a very short period of time for data scientists or business analysts. It helps with fraud analysis, finance, projections, etc. I like it. This is exactly the purpose of big data and analytics. It provides the mechanism to process and analyze a stream of information. It's best for share analysis and stream analysis. View full review »
Alexandre Akrour
CEO at Inosense
Valuable features would have to include the Notebook for piping some models and the future of executing the notebooks in parallel, in batches, which is also something that we use. And we use the Notebook on Spark with Python. View full review »
Yuval Klein
Pre-sale Leader, Big Data Enterprise Solutions at Ness Technologies
The most valuable feature is the ability to use SQL directly with Databricks. That is the most relevant thing for my current project. After deployment, it is easy to load files and query data. View full review »
ShrikanthHebbar
Data Science Consultant at Syniti
I found that PySpark is the most useful tool. It uses in-memory calculation and when you want to run a model it does it very quickly. We used to use Python and when we migrated to PySpark the performance was much better. View full review »
reviewer1276107
Engineer at a tech services company with 10,001+ employees
The time travel feature is the solution's most valuable aspect. View full review »
reviewer1235523
Machine Learning Engineer at a tech vendor with 51-200 employees
The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient. View full review »
reviewer1334334
Data Scientist at a retailer with 5,001-10,000 employees
One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often. You can just spin it off and use that for a lot of your pre-processing, which is very convenient. The normal features are very good in terms of doing some quick development or doing some EDA. Also, one of the newest features brought into this solution provides you with a way to solve, deploy, and train models using the platform itself. Or, it can connect to your Azure Machine Learning in order to train, deploy, and productionalize some of the machine learning models. View full review »
reviewer1393860
Chief Research Officer at a consumer goods company with 1,001-5,000 employees
I think the features I like the most are the scalability of the solution as well as its ability to share. We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for. View full review »
PankajGaikwad
Data Science Developer at a tech services company with 501-1,000 employees
Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great. This solution has very good machine learning libraries built-in. The support for big data is good. View full review »
reviewer1269582
Data Architect at a tech services company with 201-500 employees
The fast data loading process and data storage capabilities are great. Based on the data loads and the performance, you can easily scale up the clusters. View full review »
Owen BEILLEVERT
IT Manager: User Support at a financial services firm with 10,001+ employees
I think what I value is more about the technology itself because you don't need to have too much knowledge to be able to use the solution. View full review »
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: January 2021.
455,301 professionals have used our research since 2012.