Databricks Data Intelligence Platform vs. Savant Labs

If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.

Incentivized

if you need to automate reports pulling information directly from your data source Savant is the tool you need, it's very simple, easy to set up and also it's very reliable, we've never had a time where the service is down and that's something worth mentioning because making something easy to use and reliable is not easy.

Incentivized

• There is databricks community, which is a free version. It is available for beginners to have an easy start with a big data platform. It does not have every feature of the full version but is still adequate for extremely new coders.
• There are many resourceful training elements that are available to developers, data scientists, data engineers and other IT professionals to learn Apache Spark.

Incentivized

• Automate repetitive task and reports
• Connect to your data source for live data
• it's very simple to use, create an analysis and automate it is really easy
• all the different data sources is compatible with, even slack

Incentivized

• Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
• Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
• Visualization in MLFLOW experiment can be enhanced

Incentivized

• Let the user implement HTML code to the automated emails
• let you sync again with the data source when a new column is added without the need to re run the bot
• dark theme.

Incentivized

Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX

Incentivized

Because it has made things much easier for us, sometimes the stake holders need the data in a certain way in a certain time and with Savant that's not a problem anymore, in fact we are able to customize a little bit more the emails and not send any if there is nothing to report on which is great.

Incentivized

One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.

Databricks is a true all-in-one platform, and at the time of implementation, it had more features available to us, making it a clear choice over Snowflake. Moving our workloads from local computing to the servers in Databricks gave our start-up staff a great quality of life boost.

Incentivized

It's just better, modern, simple and faster

Incentivized

• ROI for us has been tremendous. Time to market by processing raw data in our big data infrastructure has been pretty fast.
• Non engineers can easily use Databricks, hence helping business customers.
• Thousands of different data combinations can easily be joined and used by our data teams.

Incentivized

• We can rely on Savant to reduce our capacity units from our power bi license by automating reports there
• we don't have to worry about sending emails with new data all the time
• We needed 2 people for our data pull request demand with Savant just 1 person can maintain the entire reporting system

Incentivized