KNIME vs ClicData

KNIME is a robust open-source solution with cross-platform interoperability. It integrates with a range of software, such as JS, R, Python and Spark. With a variety of nodes and functions, it can process large datasets with a decent level of control in each step. Workflows are displayed as connected nodes, making it easy to isolate and fix specific steps. It also contains built-in tools to create and test supervised and unsupervised machine learning models. Users found the UI very intuitive and flexible. On the flip side, they found the tool visually lacking and primitive. The system also has performance and stability issues. Processing big data is very time consuming since the platform isn’t cloud-based. Users reported excessive memory usage as well. It also lacks reporting or monitoring features. Decent technical knowledge is required to fully leverage its capabilities.

Clicdata is a robust platform with a multitude of data manipulation options and robust data processing capabilities. The cloud-based system is simple enough to get the results businesses need. Readymade connectors are available to connect and fuse data from multiple data sources. However, some users complained about connectivity issues with third parties. Users also complained about the lack of API integrations and plugins to pull data. Visualizations are stunning with customizable dashboards that are quick and easy to set up and have a great set of widgets. Users were generally happy with the customer service, stating that they were positive and reactive. Video tutorials and documentation could be improved. Some important features, such as roll back and database editing, are not available for all plans. Learning and getting used to the system can take time for the non tech-savvy. Overall, it’s a flexible, intuitive and cost-effective tool to visualize business data.