If you're looking for a one-stop-shop to download and integrate big data sets for education, health and sustainability metrics, Data Commons is a good option. This public repository collects data from more than 193 countries, 110,000 cities and 5,000 states and provinces and covers a variety of subjects including health, sustainability and education. It comes with a map explorer, scatter plots, timelines and a place explorer to help you visualize and analyze data. With 240 billion data points and 260,000 variables, Data Commons is also linked to other tools like the Knowledge Graph and Timelines Explorer, so it's good for science, policy and journalism.
Another option is Flatfile, which helps you import and manage data from a variety of file formats like CSV, XLS, XLSX and PDF. It has AI-boosted column matching, collaborative data onboarding and customizable workflows, so it's good for people who aren't programmers or who are programmers. The service can help you improve data quality and reduce costs for manual cleanup.
If you need a flexible data integration tool, Airbyte is an open-source platform that lets you move data from more than 300 structured and unstructured data sources to many destinations. It has automated schema evolution, security and flexible deployment options, so it's good for big data integration projects and small ones.
Last, Stitch is a cloud-based ETL service that lets you get data from more than 140 sources into a cloud data warehouse without having to write any programming code. It's geared for data engineers and business analysts, with fast data transfer, centralized data and enterprise-grade security. Stitch supports a wide range of data sources and has a simple integration process, so it's a good choice if you want to simplify your data integration.