For building data experiences that lead to deeper insights and real-time action across an organization, Domo is a top choice for a comprehensive data experience platform. It uses AI-infused data to help people make decisions in real time, with features like business apps, self-serve reporting, interactive dashboards and embedded analytics. Domo's secure data foundation enables real-time data integration from a variety of sources and includes drag-and-drop ETL tools, making it a good option for building a data-driven culture.
Another top contender is Databricks, which with generative AI, unifies data, analytics and governance. The platform supports a wide range of tools and integrations, including ETL, data ingestion, business intelligence and AI. With a lakehouse architecture, Databricks offers scalable and unified data management, making it a good option for users who need a powerful data intelligence platform.
Dataiku offers a platform to standardize data use for superior business outcomes. It spans many parts of data projects, including generative AI application development, data prep, machine learning, MLOps and collaboration. Dataiku's prebuilt AI and machine learning solutions can help companies optimize resource use and risk management, and it's a good option for teams trying to scale AI responsibly.
For those who want natural language queries and AI-powered insights, ThoughtSpot offers an AI-powered analytics platform. It lets people ask complex data questions in natural language and get immediate answers and insights, so they can make better business decisions. ThoughtSpot's self-service analytics and governance controls make it a good option for teams trying to modernize their analytics.