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Brilliant company to partner with
What do you like best about the product?
The team members and the tech as well as the culture.
What do you dislike about the product?
There isn't anything that I personally dislike!
What problems is the product solving and how is that benefiting you?
For a lot of clients that we work with, Databricks Lakehouse provides a brilliant base for their data architecture.
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Lakehouse for everyone
What do you like best about the product?
The continuous innovations they provide every year
What do you dislike about the product?
Too much python. We need more Scala. Let's not forget the importance of Scala in Spark and Databricks itself
What problems is the product solving and how is that benefiting you?
A unified platform for all the disparate sources at our company
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.
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.
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
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
Amazing platform
What do you like best about the product?
Easy to use and to ML and data engineers to work
What do you dislike about the product?
Little confusion on the last few updates
What problems is the product solving and how is that benefiting you?
Demand forecasting and data structuring
Beast When It Comes To Data On Cloud
What do you like best about the product?
1. ACID compliance on Data Lake which saves not only cost for storage but makes queries faster.
2. Customizable as per budget (by use of correct cluster sizing and other ways)
3. Init Scripts is really a boon if used correctly.
2. Customizable as per budget (by use of correct cluster sizing and other ways)
3. Init Scripts is really a boon if used correctly.
What do you dislike about the product?
1. Clusters often take up a lot of time to start up.
2. Many bugs were encountered personally on the new Unity Catalogue feature.
3. Missing Information Schema on Hive_Metastore.
2. Many bugs were encountered personally on the new Unity Catalogue feature.
3. Missing Information Schema on Hive_Metastore.
What problems is the product solving and how is that benefiting you?
The primary problem that Databricks Lakehouse Platform is solving is storing and processing big data. With its support of a wide variety of languages like Python, Scala, Sql etc it becomes mighty and helpful to process data. Role-based access management is a blessing for data governance.
Databricks is the heart of our IAplatform which allows experimentation and industrialization
What do you like best about the product?
We have been using Azure data bricks for over three years. The evolution of data bricks is impressive, as well as its stability. When our users (data engineer, data scientist) want a new feature, it very often happens that within a week or three months, this feature is developed by the Databricks team. Magic
What do you dislike about the product?
As a user, if you want to keep pace with the new features and capacity of the platform, you have to stop sleeping :) And yet the documentation is abundant, and the media is of good quality.
What problems is the product solving and how is that benefiting you?
Sentiment detection use cases, anomaly/fraud detection, risky customer detection. By associating it with cognitive services, identity document recognition use cases, kyc.
Very Powerful Tool
What do you like best about the product?
Unified Data Platform
Apache Spark Power
Machine Learning Capabilities
Scalability and Elasticity
Data Integration and Connector
Unity Catalog and Data Governance
These are a few key points on what I like most about Databricks.
Apache Spark Power
Machine Learning Capabilities
Scalability and Elasticity
Data Integration and Connector
Unity Catalog and Data Governance
These are a few key points on what I like most about Databricks.
What do you dislike about the product?
Computations are costly
Dependency on Cloud Infrastructure
Limited Offline access
As of now, I can think of these points on what I dislike about Databricks Platform
Dependency on Cloud Infrastructure
Limited Offline access
As of now, I can think of these points on what I dislike about Databricks Platform
What problems is the product solving and how is that benefiting you?
Mostly, I use this tool to create Data Pipelines using Apache Spark. And it also gives us the capability to connect Databricks to Tableau for Data Visualisation directly.
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