If you're looking for a Coupler.io alternative, Tabula is worth a look. This no-code platform is geared for business and data teams to merge, transform and visualize data, automating spreadsheets and workflows. It includes features like automated workflows, standardized data, custom metrics and real-time insights, and is good for analytics, marketing, customer success and finance teams. Tabula's interface is designed to be easy to use, and it can be deployed as on-premise, cloud or desktop apps, so it's good for both technical and nontechnical people.
Another good option is GoodData, a data analytics platform that uses AI. It's got a no-code user interface and an AI Chat Assistant, so you can easily build custom data products with interactive analytics. GoodData offers interactive dashboards and charts, embeds analytics into other workflows, and offers low-level code-based developer tools for more control. It's geared for analytics engineers, data analysts and consumers, with a 30-day free trial and custom pricing available upon request.
If you need a simple tool to link and visualize data from more than 150 SaaS tools without having to write any programming code, Canvas could be a good option. Canvas offers features like real-time alerts, pre-built templates for tracking key startup metrics, and advanced dashboards. It offers multi-user collaboration and tiered pricing plans, including options for startups and enterprises. Canvas is designed to be easy for both technical and nontechnical teams to use, so you should be able to get the most out of your data.
Last, you could look at SnapLogic if you need a more general-purpose data integration tool that automates and orchestrates data flows across your company. It offers tools like SnapGPT for code-free integrations and Snaps for pre-built connections between applications. SnapLogic is good for many industries and roles, with data integration, application integration and GenAI App Builder for no-code apps. It's geared to help companies automate workflows and get more out of data analytics, and it's good for both technical and nontechnical people.