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Databricks Lakehouse Platform Advantages
What do you like best about the product?
1. Support for ACID transactions, time travelling, versioning
2.unity catalog for access control
2.unity catalog for access control
What do you dislike about the product?
As databricks Lakehouse is built on top of delta lakes, it some times throws errors that are related to storage
What problems is the product solving and how is that benefiting you?
1. Storage and retriving the data and able to perform transformation on huge amounts of data without any hiccups
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Experience with databricks
What do you like best about the product?
Capability to run the sql query using spark sql to read the data from containers , which also gives the flexibility to play with data. As we are using spark which is very fast and optimize the sql query which help in getting the outputs very even the volume of data is very huge.
What do you dislike about the product?
I have mostly used azure databricks which some time takes lot of time to get started and and some time it didn't even start.
What problems is the product solving and how is that benefiting you?
Interoperability and no vendor lock-in.
End-to-end support for machine learning and faster AI delivery.
End-to-end support for machine learning and faster AI delivery.
Data quality
What do you like best about the product?
Inbluild authentication authorization/ unity catalog
What do you dislike about the product?
Would be nice if we have proper documentation and notes for every activities in databricks. Not able to get some documents via datsbricks website
What problems is the product solving and how is that benefiting you?
No need of external extraction tool to pull datas from different sources
Advance cloud
What do you like best about the product?
While processing the data from source to destination and accessing verity of data
What do you dislike about the product?
Some more features and streaming data not possible
What problems is the product solving and how is that benefiting you?
Everything is fine but other platforms are advanced now
Databricks - A breath of Fresh air in Big Data
What do you like best about the product?
The best part about the Databricks Lakehouse platform is the integration of traditional, tried and tested big data technologies with a UI that is welcoming, refined and revolutionary!
What do you dislike about the product?
The older ui for the platform had well separated elements for data science, data engineering and SQL Workspace. In an effort to combine them in the sidebar, the new UI tries too hard and ends up as a laggy and chaotic mess.
What problems is the product solving and how is that benefiting you?
the databricks lakehouse platform brings out the best of open source together, stitched beautifully in a notebook based UI that feels welcoming and way less intimidating than a traditional Spark distributions.
The platform has a solution for every data person, including but not limited to a Notebook that works with Scala, Python, R and SQL, a traditional SQL Editor, downloadable datasets and in house visualisations just a click away!
The platform has a solution for every data person, including but not limited to a Notebook that works with Scala, Python, R and SQL, a traditional SQL Editor, downloadable datasets and in house visualisations just a click away!
So user friendly and a platform to make the organization's data value chain delivering value
What do you like best about the product?
unified platform for both BI and AI workload
What do you dislike about the product?
To difficult to keep on track with the evolution pace that platform is growing
What problems is the product solving and how is that benefiting you?
Its helping to realise the paradigm of data-centric AI
Data Lake but combined with Datawarehouse benefits
What do you like best about the product?
It offers ACID transactions which is a massive suppport for data consistency, along with this, the leveraging features such as Time travel and schema evolution comes real handy while builidng a scalable solution. In addition of all above,it reduce data storage costs all while not compromising on powerful distributed programming.
What do you dislike about the product?
With all the features combines, it truly is a powerful tool however, it can be a real challange for new users to master it. For BI users, analysts, who arent skilled with programming, may find it difficult to understand the workflow. Moreover, the community for this tool is currently relatively small and hence minimzing community support.
What problems is the product solving and how is that benefiting you?
The business requires to keep to update powerBI dashboard reports which are ever increasing day by day. As a solution, we are utilizing the lakehouse's ACID, and features such as Schema evolution to clean and transform data and build BI dashboard using the now cleaned data.
This solution has eliminated dependency on our already saturated datawarehouse resources. This has also helped in debugging as all data is processed and resides in one place.Last but not the least, this has reduced costs of our datawarehouse by 20%
This solution has eliminated dependency on our already saturated datawarehouse resources. This has also helped in debugging as all data is processed and resides in one place.Last but not the least, this has reduced costs of our datawarehouse by 20%
Databricks: a perfect data platform for python users
What do you like best about the product?
The UI is build keeping ML and python users in mind, it is very intuitive to use.
What do you dislike about the product?
The speed of processing is slow and could be improved
What problems is the product solving and how is that benefiting you?
Easy integration with python notebooks and big data. The pipeline got much efficient.
Databricks Unleashed - Unlocking Data Insights and Streamlining Analytics with Databricks
What do you like best about the product?
Unified analytics platform for batch & stream data processing
Auto loader, schema evolution capabilities with CDC usage
Delta Live table Serverless Pipelines
Data Quality expectations
Databricks workflows
Databricks SQL warehouse - Photon SQL endpoints
Unity Catalog for data governance & security
Ease of use with partner connect & integartions
Auto loader, schema evolution capabilities with CDC usage
Delta Live table Serverless Pipelines
Data Quality expectations
Databricks workflows
Databricks SQL warehouse - Photon SQL endpoints
Unity Catalog for data governance & security
Ease of use with partner connect & integartions
What do you dislike about the product?
cost is more when we use allpurpose cluster compared to DLT pipeline which won't suite for all use-cases
vendor lock-in if we use more databricks specific delta features
Learning curve for pyspark related stuff not for SQL coding
vendor lock-in if we use more databricks specific delta features
Learning curve for pyspark related stuff not for SQL coding
What problems is the product solving and how is that benefiting you?
Unified lakehouse platform for batch & stream processing
Building the catalog for centralized goverannce
Workflow orchestration
Integrations with cloud & data storage layers
Data sharing with external customer through delta sharing & marketplace
Building the catalog for centralized goverannce
Workflow orchestration
Integrations with cloud & data storage layers
Data sharing with external customer through delta sharing & marketplace
A complete platform for data science and engineering
What do you like best about the product?
Cluster creation is now made easy through a simple configuration page.
Workspace allows you to organise all your notebooks in one place.
Job mode allows to plan notebook execution and to plan dev/prod pipelines.
Workspace allows you to organise all your notebooks in one place.
Job mode allows to plan notebook execution and to plan dev/prod pipelines.
What do you dislike about the product?
Data visualization of notebooks output cells is basic, even if it is good for simple application. Dashboard section could be improved by increasing clarity. These are however minor complaints.
What problems is the product solving and how is that benefiting you?
Databricks is helping me saving time when developing code and running jobs at given datetimes.
The autocomplete tool is very efficient, specially when dealing with very long codes and installing python packages or java library is no longer a problem.
The autocomplete tool is very efficient, specially when dealing with very long codes and installing python packages or java library is no longer a problem.
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