Here’s the difference between iguazio and kaskada. The comparison is based on pricing, deployment, business model, and other important factors.
Iguazio is a streaming analytics platform for multiple industries. Allows users to capture structured and unstructured data to organize and store in the form of tables and files in unified data platform. It enables users to clean, analyze data and with machine learning and artificial intelligence technologies it predicts data with solutions. Its products include Data Platform which allows users to stream data from multiple data sources, Amazon cloud, tables and files and store in the database, unified and automated management which enables users to monitor, manage, search and share data files with different business units and provides self-service operations and real-time insights. It also provides users to integrate with third-party applications such as Spark, R, Tensorflow and others. It allows users to perform edge analytics which enables to gather data from different machines to analyze and combine that with historical data in real-time.
Kaskada is a machine learning company that empowers data scientists to collaborate on the feature engineering process and to achieve repeatable success with models running in production. kaskada feature engineering platform provides a collaborative interface for data scientists and robust data infrastructure for computing, storing, and serving features in production.
Overview | ||
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Categories | Feature Store | Feature Store |
Stage | Mid Stage | Mid Stage |
Target Segment | Mid size, Enterprise | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Freemium, Contact Sales |
Location | Herzliya, Israel | Washington DC, US |
Companies using it | ||
Contact info |