If you need a system that can import data from different sources and offer more sophisticated analysis, Morph is worth a look. It's an AI-powered data assistant that makes data available and usable to all stakeholders. Morph can import data from different sources, process it and export results without any programming. It can connect to SQL databases like Snowflake, BigQuery and MySQL, and offers features like querying, visualization and reporting.
Another good choice is Dataloop, an AI development platform that handles data curation, model management and pipeline orchestration. Dataloop is designed to speed up AI application development by handling the complexities of large amounts of unstructured data from sources like images, videos and text. It can automate preprocessing, model deployment and human feedback, too, so it's a good tool for improving collaboration and speeding up development.
If you want a collaborative data workspace, check out Airbook. It can connect to more than 150 data sources with native connectors and query data with SQL, Python or no-code interfaces. Airbook features include collaborative workspaces, visualization, query saving and version control, so it's good for teams in marketing, sales, product, customer and financial analytics.
Last, DataGPT offers a conversational AI data analyst experience. It can connect to a variety of data sources like Bigquery and can generate automated insights, be contextually aware and provide a data navigator for exploration. The platform is geared for rapid, data-driven decision-making and optimizing growth metrics, so it's good for a variety of data analysis tasks.