Question: Is there a scalable SaaS solution that allows secure access to data analytics from anywhere?

For a scalable SaaS solution that lets you get to data analytics anywhere, Cloudera offers a hybrid data platform that securely ingests, processes and analyzes data in the cloud and on-premises. The platform consolidates large amounts of data from many sources into a single trusted system for insights and AI model training, and it offers real-time insights, automated data pipelines and accelerated machine learning.

Another powerful option is Teradata, which offers a cloud analytics and data platform. Teradata VantageCloud integrates and harmonizes data across an organization for a single view of data and faster answers. It can handle multiple workloads including AI/ML, lakehouses and data warehouses, and can be deployed in public cloud, hybrid cloud or on-premises environments.

Databricks is another good option, with generative AI to tie data, analytics and governance together. The platform supports a broad range of tools and integrations, including ETL, data ingestion, business intelligence, AI and governance, all built on a lakehouse architecture for open, scalable and unified data management.

For interactive and customizable analytics, check out Sisense. It lets customers build AI-infused analytics into their own products and applications, with tools for integration, data connections, AI and machine learning, and end-to-end security governance. The platform offers pro-code, low-code and no-code options for advanced analytics and developer tools to build custom dashboards.