Dataiku vs. Savant Labs

Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.

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

• The intuitiveness of this tool is very good.
• Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
• The way you can control things, the set of APIs gives a lot of flexibility to a developer.

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

• End product deployment.

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

As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.

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

The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.

Incentivized

Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.

Incentivized

It's just better, modern, simple and faster

Incentivized

• Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
• Platform also ease tracking of data processing workflow, unlike Excel.
• Build-in data visualizations covers many use cases with minimal customization; time saver.

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