If you need a tool to construct and orchestrate data pipelines rapidly and reliably, Airbyte is a great option. It's an open-source data integration platform with support for more than 300 data sources and many destinations. Airbyte has features like a Connector Builder for custom connectors, automated schema evolution, and strong security controls. You can manage pipelines through an intuitive UI, Python library or Terraform provider, which makes it useful for everything from big data integrations to smaller ones.
Another contender is Estuary, which is geared for real-time data integration with a focus on change data capture (CDC), ETL and streaming pipelines. It has 100+ no-code connectors, stream-store-replay for data storage and replay, and automated pipelines with very low latency. Estuary's flexible materializations and schema evolution are designed for agile DataOps, and it's got an easy-to-use interface and relatively cheap pricing.
Matillion is also a contender, especially if you need no-code ELT abilities. The company's platform supports a broad range of data sources and cloud data platforms. It's got AI-powered pipelines for unstructured data, automated scheduling of jobs, and strong security controls, and it's used by companies in finance, healthcare and other sensitive data domains.
Last is Fivetran, which automates data integration from more than 500 sources, including SaaS apps and databases. It can run in on-premise, cloud and hybrid environments to ensure data integration is secure. With features like real-time analytics and support for major standards, Fivetran can help make data operations easier and decision-making more effective for complex data integration challenges.