Dataiku

What differentiates Dataiku from other similar products?

Dataiku can be used for a variety of use cases, including machine learning, data visualization, and data engineering. Dataiku offers collaboration tools that enable multiple users to work on the same project simultaneously.

What is your favorite aspect of this product?

Dataiku integrates with a wide range of third-party tools, including databases, cloud storage providers, and machine learning frameworks.

What do you dislike most about this product?

While Dataiku is versatile, it may not have all the features necessary for certain use cases, such as advanced natural language processing or computer vision applications.

What recommendations would you give to someone considering this product?

Dataiku's intuitive interface and drag-and-drop tools make it easy to use for users of all skill levels.

What differentiates Dataiku from other similar products?

The flows create it simple to see my data flow, rather than having multiple files everywhere. It saves me loads of your time once cleaning data and mixing completely different languages and technologies like SQL, Python and R within the same project. The plugin feature conjointly offers me a lot of flexibility. The fact that you simply will insert new data to your database from DSS, automate flows insert checks, and so forth makes the whole method very intuitive and saves a lot of time.

What is your favorite aspect of this product?

Dataiku DSS allows me to figure with each structured data, which features a normal schema, & unstructured data, which has various schema records. It aids with dataset manipulation at a definite level as it’s analogous to our SQL tables and custom SQL query. It may also execute our Python scripts with the inclusion of Pandas library, Pig scripts, and Hive queries. Dataiku DSS has many beneficial functions. That is very helpful to different organizations. It is so promising application.

What do you dislike most about this product?

Some minor bugs exist and a few options are still needed. I have faced bugs when group action with Snowflake, however no major issues. Since it’s a brand new tool, we often face problems because of missing options, however, the support team is usually willing to assist and add those features to their development pipeline.

What recommendations would you give to someone considering this product?

I take advantage of it for just about everything at work now, from recommender systems to forecasting. It saves me an enormous quantity of time.

What differentiates Dataiku from other similar products?

I have no experience from such powerful data preparation platform in the company.

What is your favorite aspect of this product?

It tracks down all data that runs across the entire organization and extracts all useful data for planning and decision-making. Our company has grown faster due to the use of quality and uncontaminated data that we use.

What do you dislike most about this product?

Everything has been runing well from my observation. I have ever experienced any hardship while working with this software.

What recommendations would you give to someone considering this product?

Data management infrastructure has been stable since we deployed this platform. I totally recommend Dataiku Data Science Studio (DSS) to othe business enterprises for excellent data management processes.