Your single source-of-truth in real-time

A backend platform to persist, sync, and stream data across time and space

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Accelerating the development of data-driven products

175 zettabytes of data worldwide by 2025.

That's roughly 340 billion iPhones (512 GB) worth of data. More users and businesses need this data in real-time. And developers need to deliver these data-driven products faster and more efficiently.

ZefHub provides a complete real-time, distributed backend with storage, coordination, and streaming. Less time spent on backend/data infra and debugging means more time delivering value to end users.

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Open sourced under Apache 2.0
A toolkit for data across time and space

ZefDB

A graph-relational database with time travel and traversals within a specific space (no multi-join SQL queries)

ZefOps

Create lazy, composable, remotely computable transformational data pipelines

ZefQL

Query directly in-code using native Python (more languages coming soon) with no separate query language

GraphQL

Create and host a GraphQL API with almost no impedance mismatch to the data model

ZefFX

Deal with effects in a controlled and understandable way

ReactiveZ

Build reactive systems through functional transformations and subscriptions of data streams

See GitHub Repo

Why ZefHub?

A real-time backend that collapses OLTP, OLAP, Warehouses, and Streams into one

Persist

Secure and robust cloud storage for all of your data

Sync

Automatically propagate updates to other machines and subscribers

Stream (coming soon)

Manage cloud streams and subscriptions throughout your system

Fast

Typically 15x faster reads, 100x faster response times, and 5x less code

What can you build with ZefHub?

Backend and ML engineers use ZefHub as a single source-of-truth for their domains

Real-time Apps

Build fraud, optimization, prediction, recommendation, or risk monitoring solutions with a real-time backend.

Analysis Platform

Empower your entire org to quickly explore and analyze data from multiple angles through their tool of choice.

Master Data Management

Build a unified domain model and reconcile data together from existing, siloed third-party systems.

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