If you're looking for a data platform that can handle multiple customers and adapt data models for each, Arch is a good option. It's an end-to-end offering designed to streamline operations and speed up decision-making, letting you package reusable data solutions as managed services. With support for SQL and API access, customizable templates for data ingestion, a semantic layer for unified data modeling, and a multi-tenant data warehouse, Arch can consolidate data from multiple systems into a unified view of key metrics, making it a good fit for businesses with many customers.
Another good option is SingleStore. This real-time data platform supports a range of data models, including JSON, time-series and full-text search, and supports high-throughput streaming data ingestion. With millisecond query performance and support for multiple data models, SingleStore is a good fit for applications that need real-time analytics and SaaS services. Its cloud-based offering, SingleStore Helios, offers elastic scaling and high availability, making it a good option for managing and integrating many different data sources.
For those who want to build multi-tenant, multi-role SaaS applications with complex data models, ROQ offers a full data and API layer. It includes secure database queries, multi-tenancy, role-based access control and AI-assisted data modeling. With features like managed Postgres database deployment and Stripe integration for payments, ROQ lets developers quickly build and deploy secure and scalable applications that can accommodate different customer needs.
Last, if you need a flexible platform that can handle multiple workloads, including AI/ML and data engineering, Teradata is a good option. Its VantageCloud platform unifies and harmonizes data across an organization, providing ClearScape Analytics for faster and more insightful decision-making. With flexible, pay-by-use pricing and integration with leading cloud providers, Teradata is designed to accelerate innovation and improve data-driven decision-making, making it a good option for businesses with multiple customers with different data needs.