Dataiku vs. Savant Labs

I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.

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

• Very intuitive and easy to use UI, making a lot of types of users can collaborate with each other easily, by visualizing the same workflow.
• Many building blocks can be reused immediately, avoid a lot of non-standard boiler plate implementation.
• Data pre-analysis and feature engineering assistance increase the productivity as well as the efficiency of data scientists.
• Many data connectors support wide range of data storage, from SQL, TeraData, Hadoop Hive, etc.
• Support from research till final MaaS solution deployment.

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

• Its community support is very limited at the moment
• Complex to integrate with automation tools such as Blue Prism

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 open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.

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