Remove Analytics Remove B2C Remove IoT Remove Microservices
article thumbnail

Scylla and Confluent Integration for IoT Deployments

Confluent

Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution.

IoT 97
article thumbnail

Citus 12: Schema-based sharding for PostgreSQL

The Citus Data

Schema-based sharding gives an easy path for scaling out several important classes of applications that can divide their data across schemas: Multi-tenant SaaS applications Microservices that use the same database Vertical partitioning by groups of tables Each of these scenarios can now be enabled on Citus using regular CREATE SCHEMA commands.

article thumbnail

Understanding partitioning & sharding in Postgres & Citus

The Citus Data

—is a good fit for: multi-tenant SaaS apps with fewer than 10K tenants (think: B2B) microservices applications. —is a good fit for: multi-tenant SaaS apps with fewer than 10K tenants (think: B2B) microservices applications.