Einstein Discovery (obligatory for all users): $25 user/month.Priced by deployment: on-premises or public cloud vs Tableau-hosted. Teams need one Creator to serve their Explorers ($35-$42 user/month) and Viewers ($12-$15 user/month).Tableau Creator: $70 user/month, billed annually.If you're looking for self-hosted alternatives, specifically, then check out this list of Tableau Server Alternatives. Tableau has a cloud version and a self-hosted version.Various online resources, tutorials and the Community.Response times vary according to the priority level of your issue and subscription, from eight hours to one week. Support is via a hard-to-locate website form or the customer portal during business hours.
Deployment is Tableau-hosted, cloud or on-premises. Connects to hundreds of data sources including databases and data warehouses, flat files, big data and cloud sources. Lots of integrations with third-party tools. Embedded analytics and white label solutions. Import geographic data and create interactive maps. Live queries and auto-refreshed data for real-time insights. Natural language query builder supports conversational language. No-code AI and ML-powered predictive models and recommendations with Einstein Discovery. Support for various data types, enhanced vector search with attribute filtering, UDF support, configurable consistency level, time travel, and more.Tableau dashboard showing map and charts with geographic data Source: Main features & benefits Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage and allowing you to scale both up and out. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large scale vector data. With extensive isolation of individual system components, Milvus is highly resilient and reliable. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Simple and intuitive SDKs are also available for a variety of different languages. With Milvus vector database, you can create a large scale similarity search service in less than a minute. Fuel your machine learning deployment Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models.
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