Global Data Network
The Macrometa Global Data Network (GDN) provides a comprehensive solution for modern cloud application builders. The GDN is designed as a converged platform to help businesses overcome the limitations of centralized cloud platforms, enabling them to leverage the power of 100s of data centers to achieve ultra-low-latency performance.
The Macrometa GDN is based on cutting-edge computer science incorporating the latest research on messaging, event processing, data consistency, and replication. Macrometa's architecture is based on distributed systems and concurrent databases that incorporate technologies like Conflict-Free Replicated Datatypes (CRDTs) to create a high-performance, low-latency data infrastructure.
Macrometa Architecture
At its heart, Macrometa's architecture is a geo-distributed event source with a materialized view engine and CRDT-based replication. To achieve consistency in replication, Macrometa provides an adaptive model that allows development teams to define consistency and achieve different levels of isolation, depending on their needs.
To achieve these results, the Macrometa GDN converges a suite of NoSQL data stores, full-text search, complex event processing, data connectors, and edge computing capabilities. The result is a hyper distributed cloud platform for building real-time applications and APIs.
The Macrometa GDN has three parts: Global Data Mesh, Edge Compute, and Data Protection.
Concurrent Change Conflict Handling
Unlike eventually consistent databases, Macrometa manages changes at the atomic field level and merges changes made across the network to maintain a single version of the truth via CRDTs. The CRDT (Conflict-Free Replicated Data Type) native data platform exposes the power and versatility of CRDTs as a regular JSON database and API.
Adaptive Consistency
The GDN responds to read and update requests while maintaining consistent views of data worldwide. The platform improves latencies (global P90 of 50ms) and scales elastically to meet web-scale applications' demands.
Coordination-Free
The GDN allows reads and writes locally in all locations in parallel and does not require a user to know which data should be placed in which location or require that user to redesign the schema every time they want to add/remove a location.
P90 Round Trip Latency of < 50 ms
Macrometa GDN can serve queries, reads, and writes to your apps with less than 50 milliseconds of total round trip time from the client to our edge database and back.
Real-Time Stream Processing
Real-time stream processing allows you to ingest, transform, and process data at the edge without needing to send it to a centralized cloud.
Event-driven model
Respond to events in the real world as they happen from within region.
Event Functions
Write JavaScript functions that react and process each event as they happen to evaluate what actions to take.
Stateful Stream Processing
Look up state in the database to process events and build powerful new ways to analyze data.
A Global Multi-Model Database
Store, query, modify data as key/value pairs, JSON documents, graphs, and streams on our multi master architecture. Respond with local latencies to read and update requests, while maintaining consistent views of fast data worldwide.
The Shastra of Macrometa
A technical exploration of the GDN, written by CEO & co-founder Chetan Venkatesh