If you're looking for a platform that can subscribe to multiple APIs and send data to multiple destinations in real-time, MovingLake is a great option. It's a real-time data integration platform with a natively event-driven architecture that lets you subscribe to multiple APIs and send data to multiple destinations. With features like easy setup, fan-out events, and real-time sync, MovingLake ensures that your data is always up-to-date. It supports a broad range of integrations across industries and has dedicated connectors for APIs, CRMs, ERPs, and more.
Another top contender is Airbyte, an open-source data integration platform that can move data from more than 300 structured and unstructured sources to many destinations. It has features like a Connector Builder for custom connectors, automated schema evolution, and strong security. With flexible deployment options and an easy-to-use UI, Airbyte is good for both big and small data integration projects.
For a real-time data integration platform designed for change data capture, ETL and streaming pipelines, Estuary is worth a look. It comes with more than 100 no-code connectors, stream-store-replay for data storage and replay, and flexible materializations. With a focus on reliability and low latency, Estuary is well suited for fast-moving DataOps environments.
Last, Pipedream offers a flexible environment for building complex applications with low-level code control and no-code interfaces. It supports more than 2,100 APIs and can deploy instantly without any server setup. With features like access to npm and PyPI packages, Pipedream is a powerful option for integrating with a broad range of services.