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The most flexible and potent data platform available, without a doubt
What do you like best about the product?
The most reliable and user-friendly option for creating ELT pipelines that employ Python, Spark, and SQL is Databricks. Configuring and deploying it doesn't take much labour, and it frees developers from having to worry about setting up the infrastructure.
What do you dislike about the product?
using the same cluster to perform several streaming tasks
Since shutdown immediately following the job run/fail is configured by default, job clusters cannot be reused even for the same retry in PRODUCTION. Checking potential ways to raise this limit.
Since shutdown immediately following the job run/fail is configured by default, job clusters cannot be reused even for the same retry in PRODUCTION. Checking potential ways to raise this limit.
What problems is the product solving and how is that benefiting you?
comprehensive Batch & streaming pipeline
Alps Lake
History and versioning
Delta log transaction with ACID
Validation and quarantine are methods of data curation.
Information Ingestion Using an Autoloader
Alps Lake
History and versioning
Delta log transaction with ACID
Validation and quarantine are methods of data curation.
Information Ingestion Using an Autoloader
A lot easier to use than other tools I have used before.
What do you like best about the product?
Python notebooks that abstract away a lot of the complexity e.g. packages and infrastructure.
What do you dislike about the product?
The drop down menu/tool bar in the UI sometimes feels a bit clunky.
What problems is the product solving and how is that benefiting you?
Having multiple data pipelines that are able to be quickly developed and deployed, and then the output data sets made available to clients and internal teams
Easy, fast and Reliable
What do you like best about the product?
Ease of access to multiple data sources and we can change the code to python to SQL,Scala etc it is impressive.
What do you dislike about the product?
Not able to create interactive visualization
What problems is the product solving and how is that benefiting you?
Major problem solving is of data warehousing with its multilayer data models
Scalable, fast and easy to use
What do you like best about the product?
Databricks delta lake is the default storage for databricks which makes it very useful. Time travel, transaction, partitioning makes it very efficient.
What do you dislike about the product?
Until now I have not faced any limitations for my use case.
What problems is the product solving and how is that benefiting you?
We are using databricks lakehouse to manage batch and realtime data pipeline to fetch data from elasticsearch & Azure datalake.
One Stop Shop for Data Engineers
What do you like best about the product?
One platform to access Notebooks, tables, AI/Ml Platform
What do you dislike about the product?
No debugger like other IDE's, difficult to navigate notebooks and functions
What problems is the product solving and how is that benefiting you?
Formed Datalake to reduce efforts and time for internal teams
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.
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.
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
Going in the right direction but might take a while. Best platform to bet on
What do you like best about the product?
Easy to use and and very small learning curve. This makes it easy to start focusing on the actual probelm statement and start getting value out of it.
What do you dislike about the product?
UX. Though there are features available, sometime it's hard to find. If you're not trained, your eye might not catch it. Some features can only be applied via API. This require to keep a constant watch in the documentation to know what other options available. At least those options could be provided as a note in the UI for knowing there are other possibilities.
What problems is the product solving and how is that benefiting you?
We are building a data platform using lakehouse to empower the whole organisation to take data driven decision. Databricks providing us a platform to move fast without thinking much about infrastructure. We could easily scale. At the same time it is almost like open source. There is very little vendor lock-in risk.
Recommendations to others considering the product:
Use it to move fast! It cost a bit on the higher side. As it is built on top of open source, there are plenty of options to move out at a later point when you're mature if you are worried too much about the cost or just continue using it if you don't want the management overhead and the addon performance benifits.
Lakehouse brings the best of the data warehousing and data lake worlds under one solution
What do you like best about the product?
The slowly changing dimension features that comes out of the box with the lakehouse
What do you dislike about the product?
Lake of UI/UX to have a moth user experience
What problems is the product solving and how is that benefiting you?
It solves a lot of the standard engineering challenges when it comes to ingestion of data, data lineage and access management
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