What is Rudderstack?
It is a platform for collecting, storing and routing customer event data to dozens of tools. It is open-source, can run in your cloud environment (AWS, GCP, Azure or even your data-centre) and provides a powerful transformation framework to process your event data on the fly.
Rudderstack is a tool in the Analytics Integrator category of a tech stack.
Rudderstack is an open source tool with 1.8K GitHub stars and 69 GitHub forks. Here’s a link to Rudderstack's open source repository on GitHub
Google Analytics, Amazon S3, Mixpanel, Amazon Redshift, and Google BigQuery are some of the popular tools that integrate with Rudderstack. Here's a list of all 8 tools that integrate with Rudderstack.
Why developers like Rudderstack?
Here’s a list of reasons why companies and developers use Rudderstack
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- Production Ready
- Extreme Scale
- Segment API Compatibile
- Google Analytics, Amplitude, MixPanel, Adjust, AppsFlyer and dozens more destinations
- S3, Minio, Redshift, Snowflake, Google BigQuery support
- User-specified transformation to filter/transform events
Rudderstack Alternatives & Comparisons
What are some alternatives to Rudderstack?
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Google Tag Manager
Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.
Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
Astronomer is a data engineering platform that collects, processes and unifies enterprise data so you can get straight to analytics, data science and insights. Astronomer Clickstream captures valuable user events and routes them straight to all your favorite tools or a data warehouse for analytics. All in real time.
A code-generated, type-safe tracking library to accurately implement analytics events that are defined and maintained in a single-source-of-truth web app. Built to optimize the experience of maintaining and version controlling complicated event schemas.
Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.