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The Lakehouse for Everything
What do you like best about the product?
For two large projects, our Big Data Analytics and Engineering teams moved to the cloud for the first time with Azure ALDS gen 2 and Databricks. We could have done the ETL the old fashioned way but decided that on a new platform we should adopt the new methodologies. We fully adopted Spark Structured Streaming Medallion Lakehouse archetecture with Bronze, Silver, Gold, and were able to deploy in just a few months what normally would have taken us a full year in Oracle with Informatica. For the first time ever our BI professionals were able to hit the same hive megastore and data model as our data scientists at blazing speeds.
What do you dislike about the product?
There isn't much that I dislike about the platform. Many of the issues that we are having have to do with using more than one workspace and the need to orchestrate jobs/workflows between them. I understand that some of that new functionality is coming in future releases.
What problems is the product solving and how is that benefiting you?
The lakehouse platform allows our Data Science, Data Management and Business Intelligence teams to be in the same environment and share data, artifacts and models created. This allows to work closer together to build solutions at the same time, instead of disjointed like in the past.
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One Stop Shop Unified Analytics Platform..
What do you like best about the product?
The concept of a lakehouse and the simplicity this brings.
I like the notebook functionality and the constantly expanding ability of Partner Connect and link to BI tools
I like the notebook functionality and the constantly expanding ability of Partner Connect and link to BI tools
What do you dislike about the product?
It feels like an Integrated Development Environment would be a fantastic improvement to the existing UI.
Dbx might help accomplish this with further developments.
Dbx might help accomplish this with further developments.
What problems is the product solving and how is that benefiting you?
the lakehouse is very powerful and solves a lot of early issues with having a separate data warehouse/data lake and utilising Delta Lake enables it to be ACID compliant.
All in one Platform
What do you like best about the product?
Integration and flebility on the daily base speed up the development and delivery. Data lake and data sharing is amazing and away from the competitors in the market.
What do you dislike about the product?
It should be ease to get improvements in the platform and embedded reports for daily basis usage.
What problems is the product solving and how is that benefiting you?
Nothing
Game change in data industry. Scalable and open solutions democratizing the data access.
What do you like best about the product?
Delta lake house implementation, enabling and democratizing the data acquisition and consumption. The delta sharing initiative is so disrupting to creating data assets.
What do you dislike about the product?
It seems that we could have an easier way to suggest improvements or new features needed in the daily activities. Overall good features.
What problems is the product solving and how is that benefiting you?
Scalability and reliability on data pipelines
Efficient, user-friendly and flexible
What do you like best about the product?
All integrated platform with different tools.
What do you dislike about the product?
More visible way to manage and maintain Delta lakes
What problems is the product solving and how is that benefiting you?
Real-time transactional data storage for faster predictive maintenance.
Very excited to work using Databricks!
What do you like best about the product?
The ability to work with other professionals (data engineers and other data scientists) on the same platform. I trust Databricks and believe that they will always provide cutting-edge solutions that make Data Science projects more robust, easy and black-box-proof.
What do you dislike about the product?
Sometimes I feel a bit trapped in the platform. Solutions like Databricks-connect and DBX are great but still miss a development environment more robust than notebooks. For this reason, I tend to use virtual machine from Azure Machine Learning to develop python packages and use Databricks as a compute platform to run queries against Big Data.
What problems is the product solving and how is that benefiting you?
Developing Machine Learning models and leveraging my company's data. Other tools are more complex to use and Databricks simplify our development and our analysis.
Databricks
What do you like best about the product?
Really helpful abstractions, intuitive UI and attentive support.
What do you dislike about the product?
Very hermetic environment. Could allow more integrations with outer platforms.
What problems is the product solving and how is that benefiting you?
It really facilitates the construction and testing of daily workloads.
Changes due to Lakehouse usage
What do you like best about the product?
Databricks Data Science and Engineering Workspace allows writing the coding in various languages and it enables the ingestion process simpler and guarantee that data available for business queries are reliable and current
What do you dislike about the product?
Reusing the Cluster feature and delta live tables features was the least liked process, due to the missing link to the GIT integration directly from the Repos.
If this is available then we will be able to use these cool features widely
If this is available then we will be able to use these cool features widely
What problems is the product solving and how is that benefiting you?
Databricks Lakehouse platform has been used to resolve the common Big Data and the AI problems and helped our organization to utilize the cool compute features of Databricks
Databricks Rocks!
What do you like best about the product?
combines data warehousing with data lakes; ease of use and implementation; compatibility with BI tools
What do you dislike about the product?
nothing i can think of - databricks is awesome
What problems is the product solving and how is that benefiting you?
it helps with business intelligence and analytics and is easily used with our techstack
Databricks
What do you like best about the product?
A single unified platform that can be used for both real-time and batch data ingestion patterns to fulfill both BI and advanced analytics use cases.
What do you dislike about the product?
Nothing. I absolutely love the platform.
What problems is the product solving and how is that benefiting you?
is helping us build a Unified Data Platform.
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