If you need a way to combine data from multiple sources into one system, Airbyte is a great option. This open-source data integration platform lets you move data from more than 300 sources to many destinations. With a Connector Builder for custom connectors, automated schema evolution and detailed security controls, Airbyte is geared for data engineers, AI engineers and analytics teams. It can be deployed in a variety of ways, making it useful for big data integration projects and smaller ones.
Another powerful option is Fivetran, which automates data integration from more than 500 sources, including SaaS apps, databases, ERPs and files. It can handle data integration with on-premise, cloud and hybrid systems, and it's certified under major standards like SOC 1 & 2, GDPR, HIPAA and HITRUST. Fivetran's custom connectors and automated integration can help reduce data operations complexity and help businesses make better decisions.
If you want a cloud-based option, Stitch lets you get data from more than 140 sources into a cloud data warehouse without any programming. It's geared for both data engineers and business analysts, with fast data transfer, centralized data and enterprise-level security. Stitch supports sources like Salesforce and Google Analytics, so it's a good option for data teams that want to streamline their data integration.
Boomi is another contender, a cloud-based integration platform that connects applications, databases and APIs into a single network of business processes. With more than 300,000 prebuilt connections, Boomi can handle a broad range of applications and industries, and its broad ecosystem includes API management and data management tools. It's a good option for companies that are going through a digital transformation.