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More than managed spark
What do you like best about the product?
Databrics offers a complete platform for managing all of our data - from ingesting events in high scale to writing tens of aggregations and models on top of the data - all in one place
What do you dislike about the product?
Databicks is very fast-paced, and this means we always have to be on our feet learning new features and see how the platform evolves. Sometimes this can lead to changes in existing code to migrate to new features developed
What problems is the product solving and how is that benefiting you?
Databricks gives us the ability to process large amounts of data, get all the benefits of spark, delta lake and mlflow, all under the same platform. This solves the need to manage or build such infrastructure on our own.
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Databricks lake house platform review
What do you like best about the product?
The databricks lake house is a great platform to accelerate movement into the cloud BI and analytics. Tools offered by the platform make that possible, such as unity catalog, that will allow governance of all of my companies data
What do you dislike about the product?
There is nothing that I dislike about the platform that would turn me a way. There are a few technical implementations that I which could be simpler, and the platform as a whole takes a while to learn.
What problems is the product solving and how is that benefiting you?
It allowed us to reduce the man hours that I required to move our data we use for reporting into the cloud. With databricks, we bolt a platform that allowed data to move into the cloud without any new development
Databricks Lakehouse Platform
What do you like best about the product?
It brings a lot of things together under one area to simplify operations in data engineering and data science. Databricks has enabled me to learn a lot of various topics in data engineering and data science because of their great training modules. The scalability of the Databricks Lakehouse is also very attractive. DLT Pipelines are also a great tool for ETL that I have loved using.
What do you dislike about the product?
The Databricks Lakehouse is very expensive, although I find it to be largely worth it for our situation because our team and company can utilize all of the tools they offer.
What problems is the product solving and how is that benefiting you?
Using DTL for a declarative approach to DLT has been very convenient and efficient for our Data Engineering processes. Running machine learning models in Databricks spark clusters grants efficient use of compute and faster model training times.
Great managed spark platform
What do you like best about the product?
Hybrid of two world, warehouse and lake. This would lead to data democratization.
What do you dislike about the product?
Somewhat closed loop platform which might a bit hard to connect to external tools. Need cost attention
What problems is the product solving and how is that benefiting you?
Manage multi sort to single place
Learning databricks platform for Data Engineering & ML use cases
What do you like best about the product?
Multi-cloud capability for data engineering & machine learning platform.
What do you dislike about the product?
There are capabilities of Databricks that cannot be utilized in my company because of security requirements.
What problems is the product solving and how is that benefiting you?
Having multi-clouds solution compare to specific cloud solution that we are currently implementing.
Best orchestration platform
What do you like best about the product?
Databricks lakehouse helped us orchestre data for around 5000 data pipelines. It is very easy as it is config driven framework. We got onboarded easily migrated from airflow
What do you dislike about the product?
The documentation can be made more better. When it was new there was not enough documentation.
What problems is the product solving and how is that benefiting you?
Orchestration and data governance
Still learning the insights of lake house
What do you like best about the product?
Solving data silos. Now i can query all my datain a unified manner
What do you dislike about the product?
Not finding rich documentation of lakehouse
What problems is the product solving and how is that benefiting you?
It is solving the problem of data silos and limitations of data lake
LakeHouse for Beginners
What do you like best about the product?
Easy of learning and everything at one place
What do you dislike about the product?
Mostly used upon azure and not on GCP as it's not integrated well within GCP
What problems is the product solving and how is that benefiting you?
Easy for SQL users
Experience as a New User
What do you like best about the product?
My favorite part abt databricks lakehouse platform would be to have an integrated UI and connecting SQL/DS and ML space. It also has clear instructions on connecting to 3rd party tools.
What do you dislike about the product?
The help documents sometimes are little hard to navigate and i would need to go thru google search instead. wish there could also be AI modules in the future to answer questions.
What problems is the product solving and how is that benefiting you?
it helps with data exploring thru SQL queries and visualization tool,and the result was very easy to share with business users. It also help build clear ETL pipelines to streamline the process.
Fast and Time saving processes
What do you like best about the product?
Making tasks easy and quick, Real time monitoring just on so easy
What do you dislike about the product?
Nothing , I like all the processes and their marketing strategies
What problems is the product solving and how is that benefiting you?
Real Time analysis of everyday store devices data within 15 min interval
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