Question: Can you suggest a tool that integrates with multiple data platforms and allows for modular analytic development?

If you're looking for a tool that spans multiple data sources and lets you build analytics in modular ways, Coginiti is worth a look. This collaborative data operations platform lets you create, publish and consume trusted data products. It also has deep database object integration so you can find and analyze data on the leading data platforms while keeping data private. Coginiti also offers modular analytic development with CoginitiScript, team collaboration abilities, a data quality framework and AI assistance for productivity and data-driven decision making.

Another option is Dataloop, an AI development platform to speed up AI app development. It combines data curation, model management, pipeline orchestration and human feedback to make the process easier. Dataloop supports many types of unstructured data and includes automated preprocessing, model management and pipeline orchestration. It also has a marketplace for prebuilt models and pipelines so you can get started quickly and ensure high-quality and secure data.

If you want a collaborative workspace for data teams, Hex is another option. This AI-infused platform lets you explore data on modular, notebook-based canvases, generate queries with AI assistance and create interactive reports. Hex connects to data warehouses, lakehouses and databases, including popular ones like Snowflake, BigQuery and Postgres, and includes strong security controls and advanced techniques like data clustering and sentiment analysis.

Last, Airbook is another all-purpose option that connects to more than 150 data sources with native connectors so you can easily query and visualize data. It also includes features like collaborative workspaces, query saving and reuse, version control and a chart builder. Airbook has a wide range of integration options, so it can be used for marketing and customer analytics, too.