If you want a platform that makes it easy to tap into external APIs for data analysis, Tabula is a great option. It's a no-code service geared for business and data teams to join, transform and visualize data. With automated workflows, standardized data and custom metrics, it can be used for real-time insights and integrates with popular data tools. That makes it a good fit for many uses across teams, including analytics and finance.
Another strong contender is Airbook, a collaborative data workspace that can connect to more than 150 data sources. It has native connectors to databases, business applications and data warehouses, and you can query it with SQL, Python or no-code interfaces. Airbook also can generate AI-boosted SQL code and has powerful visualization tools, so it's good for marketing, sales, product and financial analytics.
If you need a platform with a lot of integration abilities, check out Databar. It can connect to more than 1,000 third-party APIs without you having to worry about API keys. Features like dynamic data enrichment, direct data transfer to popular tools and the ability to create your own REST API make Databar good for sales, marketing, finance and other uses. It's got an intuitive interface and supports real-time data visualization and automation.
Last, Pipedream is a flexible service that lets programmers build complex applications with access to more than 2,100 APIs. It's got low-level code control for custom logic and no-code interfaces for ease of use. With its broad API integrations, including OpenAI and Salesforce, Pipedream is good for programmers who want to build complex data pipelines.