Select a destination below to get step-by-step instructions on how to build a pipeline using Google Ads as your source:
Meroxa enables teams to build and deploy data products by leveraging a developer’s everyday workflow.
Step 1
Write code, get app. As a developer-centric data application framework, Turbine enables you to build real-time, event-driven applications, products, and services. There’s no need to mess around with brittle data infrastructure.
Step 2
Leverage the power of code-first. Writing code against data infrastructure is notoriously difficult. What you write on your local machine may not actually happen in production. With Turbine’s regular code, what you expect to happen with your unit tests on your local machine is what will happen in staging and production.
Co-Founder and Former CTO @ Segment
We processed 1M+ events/second at Segment, so we built a ton of tooling to make processing data both simple and correct. We never open-sourced them, so I'm glad to see Meroxa making it available to the world with Turbine. Simple and performant.
Ready to build stream processing apps? Get started for free —no credit card needed!
Our developer-centric, code-first tooling lets software engineers maximize their time spent building data products as opposed to maintaining fragile data systems that weren’t designed for developers.
Build and test applications using real-time events without leaning on your database or infrastructure team. Plus, our code-first platform adapts to your workflow—not the other way around—so you can use the tools you already know and love.
Our innovative platform automatically creates a shared data stream catalog and embeds it into your workflows so you can search, find, and reuse data streams effortlessly.
Don’t stress over data orchestration: our platform has over a dozen pre-configured integrations for databases, cloud, SaaS apps, and streaming services…and we’re adding more on a regular basis.
Build reusable and scalable components with standardized processes, allowing you to work efficiently while maximizing available resources.
