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ETL developpement on the Databricks Data Intelligence Platform
What do you like best about the product?
Simple of use. One unique point of truth and of work. Very easy governance and very convenient and secure way of sharing the data, which is one of the biggest issue in the industry
What do you dislike about the product?
Not especially easy to handle at first, at least for the data engineering, real time streaming part.
What problems is the product solving and how is that benefiting you?
Real time streaming processing of the data, and secure data sharing
These have been complicated to set up with other technologies, and is greatly simplified with Databricks.
Moreover the automated governance that is provided is greatly beneficial.
These have been complicated to set up with other technologies, and is greatly simplified with Databricks.
Moreover the automated governance that is provided is greatly beneficial.
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Complete unified platform for Data Enginnering and ML workloads in the era of AI.
What do you like best about the product?
What I appreciate most about Databricks Data Intelligence Platform is its seamless integration of data engineering, data science, and collaboration features. Its unified environment empowers teams to effortlessly collaborate on data-driven projects, accelerating innovation and enabling organizations to derive actionable insights from their data with ease and efficiency.
What do you dislike about the product?
Higher compute cost, missing data sharing feature similar to what we have in Snowflake
What problems is the product solving and how is that benefiting you?
Massive data Processing , I believe at present only Databricks is capable to process this great amount of data.
Databricks Review.
What do you like best about the product?
The best thing is I can choose any cloud provider for my infrastructure. The interactive environment called Notebooks which allows to write and execute codes is very easy to use. The magic commands are very much helpful. The UI is good and interactive.
What do you dislike about the product?
Nothing as of now but there can be more features added.
What problems is the product solving and how is that benefiting you?
I can choose between Single node and Multi node clutser according to our requirement which solves our problem. I can create workflows easily by connecting it to the notebooks and can also mention external parameters. Spot instances are very much cost saving. And the feature called Photon which helps in fast query performance at low cost.
Great product for data engineering - playing with data gets easy.
What do you like best about the product?
Creation of data product with databricks gets easy. we can easily deliver our product to the clients on time.
Data ingeston and data curation with great performance makes the work easy.
cost effective- Launching of clusters and gets stop after work save much cost as using other data performance tools.
Understandable architecture with a sequence helps to manage the tool.
Customer support is awesome , they helps to solve all the issues i faced.
Integration and setup of databricks using terraform helps alot to manage the workspace .
Data ingeston and data curation with great performance makes the work easy.
cost effective- Launching of clusters and gets stop after work save much cost as using other data performance tools.
Understandable architecture with a sequence helps to manage the tool.
Customer support is awesome , they helps to solve all the issues i faced.
Integration and setup of databricks using terraform helps alot to manage the workspace .
What do you dislike about the product?
It took much amount of time to restart a cluster . This should be improved.
What problems is the product solving and how is that benefiting you?
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Databricks is seriously good stuff
What do you like best about the product?
Date of breakfast well integrated and crafted suite of applications making a harmonious environment for all kinds of data, data warehouse and applications.
What do you dislike about the product?
Sometimes things are not as smooth and easy as you wish but principally because features still in progress of improvements and discovery. I actually often find the shortcoming today is a naturally smooth add to the suite after the next release
What problems is the product solving and how is that benefiting you?
The common ones you are most looking for help with, velocity variety, column, and veracity. Made best and easiest with a thoughtfully integrated and crafted singular platform.
The best platform for all Data & AI needs
What do you like best about the product?
I've implemented Databricks solutions for multiple large enterprises and have therefore frequently used the product over many years. The platform scales extremely well and really helps build the data & AI ecosystem within large enterprises. Their support from solutions architects has always been extremely good. The platform itself is easy to use and integrating it with for example other cloud services (in Azure) is easy.
What do you dislike about the product?
For legacy users, migrating stuff from all purpose compute to UC can be painful.
What problems is the product solving and how is that benefiting you?
Many. For my current client (IKEA) We are building an e-learning data platform, to share learning insights to all IKEA franchisees globally.
Great platform for scale and muli-users
What do you like best about the product?
The web interface allows for testing codes and scripts and making quick review tables before the implementation of pipelines. Otherwise the setup and navigation is quite initiative to manage. Finding some configuration takes a trip to the help docs but they are always clear and well linked to keep progress going.
What do you dislike about the product?
First-time cloud users might struggle unless they have been exposed to similar tools. My largest issue is with our company's admin and their anti-trust of staff. We have limited access to the full power of the platform, which means that, realistically, it is being used for much less than it is capable of.
What problems is the product solving and how is that benefiting you?
It creates a data warehouse for the global team to access the same tables with minimal impact on each other's work performance. It also allows the development and testing of queries to ensure they are optimised and return the expected results.
Calculations and analysis flows can be developed to expand the available data.
Calculations and analysis flows can be developed to expand the available data.
a comprehensive review of Databricks
What do you like best about the product?
its a platform for storing and maintaining data also to manage and process big data.also implementation of apache spark
What do you dislike about the product?
databricks UI complexity.it can be improved to easy use
What problems is the product solving and how is that benefiting you?
databricks platform resolves data complexity by giving i unified platform that integrates with various data sources also it fosters collaborative analytics
Databricks Unified Data Intelligence Platform for all Genes - Data Engineers, Data Scientists
What do you like best about the product?
I've being using Databricks for more than 7 years and used almost all of services workflow, Unity Catalog, scale in and scale out the cluster depending on the demand.
Due to the in-build capabiity of spark , ease of integration and wonderful support, we have seen customers are relying more towards to the databricks.
Due to the in-build capabiity of spark , ease of integration and wonderful support, we have seen customers are relying more towards to the databricks.
What do you dislike about the product?
During 2nd quarter of 2023 we have have not seen Databricks was not focusing towards to the Gen AI.
What problems is the product solving and how is that benefiting you?
Databricks Unified platform serving for all genes Data Engineers, Data Scientists.
Utilize out of box wokflow to automate the entire jobs.
Flexiblity of scheduling the batch vs continuous jobs depending on the need.
Utilize out of box wokflow to automate the entire jobs.
Flexiblity of scheduling the batch vs continuous jobs depending on the need.
Perfect Location for Lakehouse
What do you like best about the product?
With Lakehouse bringing in all company data on one place in layered medallion architecture, we could use Open AI services right out of the box to leverage Gen AI capabilities either out of the box or by connecting to Cloud providers Open AI services. And with recent acquisition of Einblick it makes it much more intuitive for self-service analytics for business users without stressing on the analysts.
What do you dislike about the product?
More support for DevOps could be better. Also with unity catalog, if there are too many tables, views in one schema or too many schema, it makes it difficult to scroll thru in UI
What problems is the product solving and how is that benefiting you?
We are bringing in all of our clients products data, customer data, transactions, end customers, distributors data in one place for better understanding of customers buying patterns and feedback to help our marketing and sales team to collaborate more effectively
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