If you're looking for a replacement for Ontotext, Collibra is a data intelligence platform with AI governance, data catalog, data governance, data quality and observability. It automates data workflows, minimizes manual work and offers a unified view of data assets across the enterprise. It's highly scalable and adaptable, and can be used for data analytics and AI model creation, which could be a good match for your needs.
Another option is ThoughtSpot, an AI-infused analytics service that lets people ask complex data questions in natural language and get answers. It supports self-service analytics, embedded analytics, flexible data modeling and a range of visualization tools so you can explore, analyze and share insights in your data. It's geared for industries like finance, retail and healthcare.
If you're looking for a broad suite of data integration, analytics and AI tools, Qlik has a lot to offer. It's got powerful data fabrics, rich insights and end-to-end integration abilities, along with data quality and governance tools. Qlik supports a range of use cases, including data streaming, data lake creation and AI-powered predictive applications, so it's a good Ontotext alternative.
Last, Dataiku is a platform that helps you operationalize data for better business outcomes. It's got tools for generative AI application development, data preparation, machine learning and governance, and is geared for different teams and industries. Dataiku helps you build, deploy and maintain machine learning models securely and at scale, which could be a good fit if you want to bring AI into your data plans.