5X

An all-in-one data platform that's incredibly easy to use.

About

5X is an all-in-one data platform. We give you everything you need to centralize, clean, model, and analyze your data. The customer feedback we get most often is, "This is self-explanatory," and "It's super easy to use." And that is exactly what our goal was—to create a powerful, all-in-one platform that's incredibly easy to use.  Data is one of the most fragmented industries, with over 500 vendors in 15+ categories. The analogy we use is that data vendors are selling car parts. Imagine walking into a Honda dealership, and instead of selling you a Civic, they sold you an engine, and you had to build your own car. The modern data stack has evolved. It's no longer about stitching together vendors. The next-generation modern data stack is an all-in-one platform that offers speed, simplicity, and decreased cost of ownership. That's exactly what we have created at 5X. Companies use 5X for multiple reasons: 1) Speed & productivity. All-in-one data platforms are incredibly efficient. We've seen companies build use cases on day 1.  Contact us to see if you qualify for a free 48 hour jumpstart! 🚀 2) Decrease your total cost of ownership by 30% compared to building your own platform. This doesn't account the people hours needed to support a platform build 🤯 3) Use our full stack data consultancy for support on data engineering & analytics 👨‍💻 5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We’ve recently raised our seed round from Flybridge Capital and backed by top founders from companies like Datadog, Preset, Astronomer, Mode, Rudderstack and other prominent angel investors. For more information, visit 5X.co We don't just talk about speed and simplicity we back it back. Speak to us about our 48-hour jumpstart where we can build an end-to-end use case for you in 48 hours for free.

Features

Analytics capabilities
Auditing
Automated workflows
Automation
Dasboard visualizations
Data Integration
Data Observability
Extraction
Hybrid cloud support
Loading
Metadata
Reporting
Scalability
Self-service
Transformation

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