If you're looking for a Snowflake alternative, Databricks is a good choice. It uses generative AI to integrate data, analytics and governance so you can build and deploy AI applications directly against your data while keeping control and privacy. The service spans a range of tools and integrations, including ETL, data ingestion, business intelligence, AI and governance, and is built on a lakehouse architecture for scalable and unified data management.
Another good option is Teradata, a cloud analytics and data platform that's designed to help you get the most value out of your data and AI investments. Teradata VantageCloud integrates and harmonizes data across your organization for a single view and faster insights. It supports a variety of workloads, including AI/ML, lakehouses, data lakes and data warehouses, and can be deployed in the public cloud, hybrid cloud or on-premises, so it's flexible enough to meet a wide range of business needs.
If you're looking for a no-code option, check out Tabula. This AI-powered platform is designed for business and data teams to merge, transform and visualize data, automating spreadsheets and workflows. It integrates with widely used data tools and offers features like automated workflows, standardized data and real-time insights, so it can be used for a broad range of business uses from analytics to finance and operations.
Last, Dataiku has a platform to bring AI to everyday use. It supports generative AI application development, data preparation, machine learning, MLOps, collaboration and governance. With prebuilt solutions for AI and machine learning, Dataiku is a good option for many industries, with features to build, deploy and operate machine learning models securely and efficiently.