If you need a platform that spans data preparation, analytics and data science to help you make business decisions more quickly and accurately, Pyramid Analytics is worth a look. It's got a single environment for data preparation, business analytics, data science and augmented analytics, and a no-code interface for self-service use. It's designed to scale across multicloud and hybrid environments and has won high marks from top analyst firms like Gartner, including a top score in its critical capabilities report.
Another strong contender is Dataiku, a platform that formalizes the use of data to deliver exceptional business outcomes. It covers many facets of data projects, including data preparation, machine learning, MLOps, collaboration and governance. Dataiku is a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms, and it offers customized solutions for different teams, helping companies deliver notable improvements in resource utilization, customer experience and risk management.
For those looking for a data intelligence platform that taps into generative AI, Databricks offers a single approach to data management. It offers AI-infused data intelligence, democratized insights through natural language and cost-effective operations. It's built on lakehouse architecture that offers open, scalable and unified data management. The platform is geared for a wide range of users, with resources like support, training and community engagement.
Last, Spotfire offers a broad visual analytics platform that lets organizations integrate, analyze and act on data. It includes tools for data preparation, analysis and action, with support for both drag-and-drop and code-based workflows. Spotfire is designed to run in hybrid environments and offers predictive and prescriptive analytics, making it a good option for decision makers.