Explore Airbyte, your go-to data integration platform and ELT tool. Seamlessly integrate, transform, and load data with our powerful, user-friendly so
Agent Engine Public Beta is now live! Airbyte provides the data infrastructure layer for ELT and AI agents, built on the same open-source foundation. Use batch and CDC replication for analytics, or direct connectors and context store to power agent workflows. Immediate ROI and productivity gains for your data teams. "With our legacy framework, if one of the pipelines fails for one client, it will stop everything for the rest of our clients. But with Airbyte, things are run in parallel because of the platform’s distributed nature, which means that we can process multiple clients at the same time without impacting performance." Raman Singh, Tech Lead at Symend "The real ROI is in our ability to iterate quickly, especially at our increasing scale. At the end of the day, you want a tool like that to just work. We can forget about it and know that it's configured and it's connecting and it's working. That hands-free capability is a big appeal for the platform.” Sean Carver, Director of Data at Petvisor "Unlike Fivetran's credit-based system that created budget uncertainty, Airbyte's pricing model allows Kuda to forecast expenses accurately and avoid surprise bills." Mondor La Grange, Head of BI and Data Engineering "What's different from Stitch Data or Informatica is the way that we can configure Airbyte connections and Airbyte entities through code. That's a huge plus to us as data engineers, because we are used to checking code and being able to manage changes from Github." Amy Zhao, Senior Manager of Data Engineering at Peloton "Airbyte allows us to stay flexible while scaling from hundred-million to billion-dollar enterprise clients." Franziska Ibscher, Product Manager at Drivepoint Data pipeline jobs synced in the last 24 hours The world's leading enterprises choose Airbyte to ensure data sovereignty and safeguard operations with enterprise-grade security-backed by dedicated support and SLAs they can trust. Cloud deployment with PrivateLink and multiple data region optionality provides flexibility for global businesses. Single Sign-On (SSO), SCIM provisioning, fine-grained RBAC, audit logs, and enterprise encryption standards. SOC 2 Type II certified, GDPR and HIPAA support, with tools to help you meet internal and external regulatory requirements. Optimized for high-throughput, low-latency pipelines that handle millions of records reliably at enterprise scale. 24/7 support, named customer success managers, and proactive monitoring to keep pipelines healthy. 99.9% availability backed by contractual SLAs and priority response times for mission-critical workloads. As the open source standard for the industry, Airbyte features an unparalleled developer community and resources for all users to achieve success. With over 25,000 users, our community is always ready to answer questions and offer tips to new users. Access our developer resources, such as user guides, blogs, videos and documentation. Explore our schedule of events
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npm packages
Pricing found: $10 / month, $49 /month, $149 /month, $0.01 /call, $49/month
We build AI agents with Claude Code. Just open-sourced the framework we use.
Hey everyone, Daniel here, cofounder of GrowthX. We build AI agents with Claude Code for clients like Lovable, Webflow, Airbyte. We just open-sourced our AI framework - designed for coding agents from day one. We kept hitting the same problems. AI development has a lot of things to figure out that are unique to it - how do you iterate on a codebase packed with prompts? How do you orchestrate API calls that fail in unpredictable ways? How do you track what things actually cost? How do you test code that's non-deterministic? On top of that, every piece of the tooling ecosystem is a different SaaS product that Claude Code couldn't access. We focused on solving three things: Make it easy for coding agents to work with your AI codebase. Filesystem-first - everything your agent needs is files it can read, organized in self-contained folders. TypeScript because it's compiled and Zod gives agents validation and documentation together. We picked Claude Code and built a deep integration through the plugin ecosystem and our CLI. In practice we can one-shot complex workflows and keep iterating fast. Self-contained. One package instead of a dozen SaaS subscriptions - prompts, evals, tracing, cost tracking, credentials. Your data stays on your infrastructure. Fast learning curve. We have engineers at different levels and a lot of AI dev patterns are still being figured out. We baked in conventions so people don't have to figure things out on their own for every project. The more advanced things - evals, LLM-as-a-judge - are abstracted until you actually need them. We've been building this way for over a year. Some of the agents we've deployed for clients: one that creates website templates for Lovable from screenshots and ideas, one that generates connector docs for Airbyte every time a new connector is published, one that researches CVEs and writes detailed reports. The entire framework is structured so Claude has full local context. Every workflow keeps its files together, conventions are baked in, and a native plugin gives Claude deep knowledge of the patterns. You describe what you want in plain English, Claude builds production-grade workflows and agents with all the best practices already in place. No context-switching, no scattered docs, just ship. After finally getting the extraction to a shippable state, we wanted to share it. Would love feedback. https://output.ai https://github.com/growthxai/output submitted by /u/danielvlopes [link] [comments]
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Deep analysis of airbytehq/airbyte — architecture, costs, security, dependencies & more
Yes, Airbyte offers a free tier. Pricing found: $10 / month, $49 /month, $149 /month, $0.01 /call, $49/month
Key features include: Capabilities, Build data pipelines with Airbyte, Connect agents to data with Airbyte, Featured, Use Cases, Destinations, Resources, Latest Release.
Based on user reviews and social mentions, the most common pain points are: cost tracking.
