Dataiku vs. Klipfolio Klips

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

It's
a piece of software that's capable of almost anything. Dynamic variables can be
changed in real-time via the interface's UI/UX and UI/UX customizations. As a
result, it can always keep its database up-to-date and obtain the most current
information from a variety of sources. The Klip customer service team is
extremely friendly and helpful. Every time a problem with the Klip setup
arises, they're there to help. As a result of their activities, they try to
work with the group's experience.

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

• Dashboard design. Super simple and easy to set up, move and size components, and display.
• Klip creation. This is report/chart creation. Klipfolio straddles the line well between ease-of-use and robust capability for data crunching and visualization.
• Data sync. I have had very few data sync issues. The sync just works and it is very light-weight on API calls.
• Multiple data source formats. You can make data sources in JSON, Summarized View, and Detailed View.
• Modeled data sources. You can create modeled versions of any data source, which allows you to lock in data formats, add columns (including formula columns), and more.
• Team permissions. I have been able to set team permission sets and use that to display the given dashboards around the office. With this, I can control who has access to which data.
• Chart options. There is a great selection of chart types to choose from.
• Great support. Their support staff has always been very responsive—almost always immediate. I have always been able to resolve my issues with them.

Incentivized

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

Incentivized

• Onboarding. The process of setting up a new client for a dashboard can be a little tedious.
• File size upload and third-party integrations. I have been limited to the size of the .csv file we were uploading but we were able to find a workaround.

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

My initial impressions of the software have been extremely positive. There are YouTube tutorials that explain how to make klips. The intuitive design of the UI It appears that everything in this software has been thoroughly tested to create all the visualizations that can be imagined as well as the user input controls that allow users to have exactly the data they want to be displayed in seconds, considering the various functions and formulas available in the Excel integrations and the extensive list of other services that can be integrated.

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

It provides all the necessary information to be able to carry out the analysis of any type of business, to know how money is managed virtually, what to do to have greater visibility, in addition to being a platform that is always accessible and allows continuous and efficient work.

Incentivized

None at all; just be sure of what information you will need for working.

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 was clear that Klipfolio had the edge in terms of the number of third-party connectors and templates available, allowing us to quickly be up and running with various API integrations and visually stunning designs in only an hour. It was a no-brainer for us, and we're glad we went with them instead of the other options.

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

• Klipfolio not only delivers great-looking dashboards, but it makes our agency look awesome to our clients!
• Klipfolio is one of the few platforms that we have implemented where the minimal investment has consistently provided maximum results in the return on our investment.
• Not only had Klipfolio proven to be a fiscally smart - money-saving - move, but has also proven to be a great time saver as well.
• Thanks to Klipfolio we spend less time having to pull data and have more time to analyze and strategize for our reporting and recommendations to our clients.

Incentivized