Secure, Segregated Multi-tenant Analytics in PostgreSQL® using Aiven for Apache Kafka®, Debezium®, and Aiven for ClickHouse®
Blog post from Aiven
This blog post introduces a solution for secure and performant multi-tenant analytics in PostgreSQL® using Aiven for Apache Kafka®, Debezium®, and Aiven for ClickHouse®. The combination of these technologies enables real-time change capture from the PostgreSQL® database, streaming updates via Apache Kafka®, and utilizing ClickHouse® for secure segregation with materialized views and historical analysis with ReplacingMergeTree engine. This solution offers benefits such as real-time analytics, reduced latency, scalability, improved efficiency, and enhanced security in managing data in multi-tenant PostgreSQL® environments.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 11 | 2,334 | 631 | 194 | -8% |
| Data Pipeline | 1 | 563 | 163 | 70 | +14% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.