Question: I'm looking for a solution that automates data pipelines and orchestrates complex data engineering tasks, can you help?

Airbyte is an open-source data integration tool that can move data from more than 300 sources to many destinations. It has automated schema change, security features like single sign-on and role-based access control, and multiple deployment choices. That makes it a good choice for big and small data integration jobs, with a user-friendly interface for management and support for Python and Terraform.

Another powerful option is Fivetran, which can integrate data from more than 500 sources, including SaaS apps, databases and ERPs. Fivetran offers fully-managed SaaS, hybrid and self-hosted deployment options so data integration can be secure regardless of the environment. It can handle real-time analytics and support for major standards, too, which makes it a good choice for companies that want to get data in and out of their systems as fast as possible.

If you want a no-code option, Matillion offers a tool to build and manage data pipelines with AI and cloud-native architecture. It supports a range of data connectors and custom connectors through a REST API, so you can easily pull data from many sources into cloud data platforms. Matillion's no-code ELT abilities and automated scheduling make it a good option for data teams in many industries.

Last, Estuary is designed for real-time data integration with low latency, with more than 100 no-code connectors for change data capture and ETL jobs. It's got features like stream-store-replay for data storage and materialization for data loading, so it's good for fast DataOps environments. Estuary has a flexible pricing model and automated pipelines, so it's good for building and running data pipelines.