Question: I need a solution that can extract data from multiple sources and integrate it into my existing system, what options are available?

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Airbyte

Airbyte is an open-source data integration tool that can pull data from more than 300 structured and unstructured sources and send it to many destinations. It's geared for data engineers, AI engineers and analytics engineers, with features like Connector Builder, Extract Unstructured Data and automated schema evolution. It's got secure data transfer and compliance with major standards and can be deployed in many ways.

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Fivetran

Another top contender is Fivetran, which automates data integration from more than 500 sources, including SaaS apps, databases and ERPs. It can be deployed in a variety of ways, including fully-managed SaaS, self-hosted and everything in between, and offers secure and compliant data integration for a variety of environments. Fivetran's platform streamlines data operations and accelerates decision-making with real-time analytics.

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SnapLogic

SnapLogic is an all-purpose data and application integration tool that automates and orchestrates data flows. It's got tools like SnapGPT for AI-assisted technical delivery and Snaps for codeless integration. SnapLogic is geared for many industries and roles, with enterprise-level security and governance, and can be deployed in many ways for on-premises, cloud-hosted and hybrid operations. Its interface is designed to be usable by nontechnical people, but AI-assisted tools make it more powerful for techies.

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Stitch

If you want a cloud-based option, Stitch lets you get data from more than 140 sources into a cloud data warehouse without writing a line of code. It's got fully automated cloud data pipelines and enterprise-level security, so it's good for data teams that want to ease integration hassles and shift IT workloads.

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Arch

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Snowplow

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Dataiku

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Superjoin

Automatically connect to unlimited data sources, schedule refreshes, and sync data between Google Sheets and SaaS tools without any programming required.