If you want a data analysis tool with a workflow builder that works visually and can handle a broad variety of data sources and file formats, KNIME is a good option. It has a visual workflow builder for designing, deploying and managing data science projects, plus connections and data transformations from more than 300 data sources. KNIME comes with a range of analytic techniques and machine learning libraries, so it's good for a range of users from business analysts to IT staff. It also has interactive data apps for end users and a free analytics foundation with more features through KNIME Hub.
Another contender is DataChat, a no-code generative AI platform that makes data analysis easier by letting people work in a familiar spreadsheet and chat interface. DataChat automates data preparation, exploration and modeling so data scientists, analysts and business users can quickly get insights they can act on. It connects to a broad range of data sources and offers a 14-day free trial, with pricing based on your business needs.
If you want a collaborative data workspace, Airbook connects to more than 150 data sources and has native connectors to databases, business applications and data warehouses. It's got SQL, Python and no-code interfaces to query data, collaborative workspaces and AI-generated SQL code. It's good for teams that need to make data-informed decisions across different areas like marketing, sales and product analytics.