A backend platform to persist, sync, and stream data across time and space
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.
Open sourced under Apache 2.0
A toolkit for data across time and space
A graph-relational database with time travel and traversals within a specific space (no multi-join SQL queries)
Create lazy, composable, remotely computable transformational data pipelines
Query directly in-code using native Python (more languages coming soon) with no separate query language
Create and host a GraphQL API with almost no impedance mismatch to the data model
Deal with effects in a controlled and understandable way
Build reactive systems through functional transformations and subscriptions of data streams
A real-time backend that collapses OLTP, OLAP, Warehouses, and Streams into one
Secure and robust cloud storage for all of your data
Automatically propagate updates to other machines and subscribers
Manage cloud streams and subscriptions throughout your system
Typically 15x faster reads, 100x faster response times, and 5x less code
Backend and ML engineers use ZefHub as a single source-of-truth for their domains
Build fraud, optimization, prediction, recommendation, or risk monitoring solutions with a real-time backend.
Empower your entire org to quickly explore and analyze data from multiple angles through their tool of choice.
Build a unified domain model and reconcile data together from existing, siloed third-party systems.
Start building your real-time backend