If you need a service to create custom data connectors without a lot of data engineering expertise, Airbyte is worth a look. It's an open-source data integration service that supports more than 300 data sources and has a Connector Builder tool to create custom connectors. With features like automated schema evolution and support for big names like OpenAI and dbt, Airbyte is a flexible option for cloud-based or self-hosted use.
Another good option is Stitch, a cloud-based ETL service that doesn't require any programming. Stitch offers fully automated cloud data pipelines and supports more than 140 data sources, including Salesforce, Google Analytics and Facebook Ads. It's geared for both data engineers and business analysts, with fast data transfer and strong security.
If you need real-time data integration, Estuary is a good option. It offers a variety of no-code connectors for ingesting data and supports low-latency, high-reliability streaming pipelines. With features like stream-store-replay and materialization, Estuary is good for fast DataOps and has a pay-as-you-go pricing scheme based on how much data you move and how many connectors you have active.
Last, Matillion offers a no-code ELT service with AI-boosted data processing and cloud-native design. It supports a range of data sources and connectors, including Amazon S3, PostgreSQL and Salesforce. With features like AI pipelines and automated scheduling, Matillion is designed to increase data engineering productivity, and it offers tiered pricing plans to accommodate different organizational levels.