If you're looking for something else besides Lume, Airbyte is a good candidate. This open-source data integration service lets you move data from more than 300 sources to more than 100 destinations. It's got a Connector Builder for custom connectors, automatic schema updates and security features like role-based access control, so it should work well for large-scale, high-reliability data pipelines.
Another contender is Morph, an AI-powered data assistant that lets you manage data without any programming. It pulls data from various sources, processes it and then sends results to destinations you designate. With features like querying, visualization and reporting, Morph can help businesses in many industries make decisions faster and more easily.
If you want something more elaborate, check out Dataloop, which handles data curation, model management and pipeline orchestration to speed up AI application development. It can handle many types of unstructured data and has features like automated preprocessing, model deployment and human feedback integration. The service is designed to improve collaboration and simplify development, so it's a good Lume alternative.
Last, Matillion offers a no-code ELT service that uses AI and cloud-native architecture to speed up data engineering. It's got a broad range of data connectors and automation and scheduling of pipeline jobs, so it's good for financial services, health care and tech companies. It can help you build and operate data pipelines, too, with a scalable and secure design.