Databricks Data Intelligence Platform
Databricks, Inc.External reviews
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Databricks unifies majority of engineering platforms.
What do you like best about the product?
There are various reasons why I like the Databricks Data Intelligence Platform.
We have been using Databricks as a Unified Platform for All of our Data Workloads (pipelines and models) that encompasses data engineering, data science, analytics and agentic AI.
We love the lakehouse architecture that assists in onboarding traditional data warehousing specialists to Databricks in a fast and scalable way.
We did Unity Catalog upgrade last year that streamlined governance and access control across assets; and did Serverless compute this year that decreased cluster starting/waiting time tremendously.
We have been playing around with Agentic AI space now where we build easy to understand prompts to train agents built on top of datasets. This helps in profiling/slicing/analyzing data by anyone (even a non-technical business person).
BI team has been using Databricks to connect with our Power BI dashboards while Engineering team has been using Databricks to connect with Airflow to create/visualize native DAGs.
Last but not the least, Databricks Notebook concept is awesome.
In the same Databricks notebook, one can have code in multiple languages (Python, Scala, SQL etc.) and each can be flipped at runtime.
Built-in collaborative notebooks with support for multiple languages (Python, Scala, SQL, R) and real-time co-authoring make it easier for teams to iterate together quickly.
We have been using Databricks as a Unified Platform for All of our Data Workloads (pipelines and models) that encompasses data engineering, data science, analytics and agentic AI.
We love the lakehouse architecture that assists in onboarding traditional data warehousing specialists to Databricks in a fast and scalable way.
We did Unity Catalog upgrade last year that streamlined governance and access control across assets; and did Serverless compute this year that decreased cluster starting/waiting time tremendously.
We have been playing around with Agentic AI space now where we build easy to understand prompts to train agents built on top of datasets. This helps in profiling/slicing/analyzing data by anyone (even a non-technical business person).
BI team has been using Databricks to connect with our Power BI dashboards while Engineering team has been using Databricks to connect with Airflow to create/visualize native DAGs.
Last but not the least, Databricks Notebook concept is awesome.
In the same Databricks notebook, one can have code in multiple languages (Python, Scala, SQL etc.) and each can be flipped at runtime.
Built-in collaborative notebooks with support for multiple languages (Python, Scala, SQL, R) and real-time co-authoring make it easier for teams to iterate together quickly.
What do you dislike about the product?
-- Unpredictable costs for small teams. We faced it when one of our agents AI workflow was running for a long time on a very small dataset.
-- Compute + storage based costing means optimization is critical. Every QTR, we have to really keep our Databricks forecasts updated as we don’t want a big deviation between forecast vs. actual.
-- While Databricks supports dashboards (with limitations), it can’t replace BI tools like Power BI, Tableau etc.
-- Compute + storage based costing means optimization is critical. Every QTR, we have to really keep our Databricks forecasts updated as we don’t want a big deviation between forecast vs. actual.
-- While Databricks supports dashboards (with limitations), it can’t replace BI tools like Power BI, Tableau etc.
What problems is the product solving and how is that benefiting you?
We have been playing around with Agentic AI space now where we build easy to understand prompts to train agents built on top of datasets. This helps in profiling/slicing/analyzing data by anyone (even a non-technical business person).
Business teams are also using Power BI dashboards (revenue, corporate accounting, HR, treasury and commerce) fed from Databricks data now.
Business teams are also using Power BI dashboards (revenue, corporate accounting, HR, treasury and commerce) fed from Databricks data now.
All under one hood
What do you like best about the product?
I like that everything you need is in the same platform.
What do you dislike about the product?
It is a bit too easy to overspend, need billing alerts in the platform.
What problems is the product solving and how is that benefiting you?
We are able to easily ingest, transform, display, and train on all our data, in one place.
Databricks for all
What do you like best about the product?
Is a plataform for everyone, no matter what role you have, Databricks has build something for you!
What do you dislike about the product?
In terms of governance to add more federation sources to be a máster catalog not only for Databricks assets but for application layer or reporting!
What problems is the product solving and how is that benefiting you?
Time to deployment, ETL and orchestration strategy.
Great platform to try, train and infer your AI models!
What do you like best about the product?
Ease to use platform
Provides foundational and popular AI models
Allows experimenting, training and inferring
Provides foundational and popular AI models
Allows experimenting, training and inferring
What do you dislike about the product?
Documentation could be better. It's not intuitive to find the data intelligence platform section.
What problems is the product solving and how is that benefiting you?
It allows for training, fine-tuning and inferring AI models which is helping us a lot to try the AI models.
Databricks is awesome
What do you like best about the product?
Combining data, analytics, AI and BI into a single platform
What do you dislike about the product?
Quicker speed from preview to General availability
What problems is the product solving and how is that benefiting you?
Proving best in class audit results
Best tool ever
What do you like best about the product?
Flexible and user friendly, business user empowered
What do you dislike about the product?
Reluctance from IT to fully empower business users
What problems is the product solving and how is that benefiting you?
Unification of financial metrics
Data, all in one place
What do you like best about the product?
Ability to use all data in a single
Platform
Platform
What do you dislike about the product?
Too many features remain in preview, need faster turn around
What problems is the product solving and how is that benefiting you?
Benchmarking
Great experience in data and AI
What do you like best about the product?
As a data architect I’m super exited about the announcements and already looking forward implementing them in order to continue democratizing data within our users
What do you dislike about the product?
How simple and yet powerful, innovative and carefully listening to customer request for consumer demands
What problems is the product solving and how is that benefiting you?
Interoperability between competing platforms
Databricks data platform
What do you like best about the product?
Unity catalog has been a game changer. The lineage is so useful
What do you dislike about the product?
Time to setup when using private ip. This requires better documentation and scripts
What problems is the product solving and how is that benefiting you?
A unified data platform for the company
very easy to integrate
What do you like best about the product?
easy to integrate its product and tool and support team is awesome
What do you dislike about the product?
every thing in nascent stage it will take time to evolve
What problems is the product solving and how is that benefiting you?
cloud service with the fee of independent tool.
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