CDC from Multi-Tenant Databases with Sub-Second Latency

Multi-tenant databases are essential for SaaS providers, ISVs, and enterprises, enabling multiple tenants to share a single application instance while keeping their data isolated. However, the growth in tenant numbers often leads to table proliferation, posing challenges for Change Data Capture (CDC). Streamkap provides a solution by automating CDC processes, efficiently aggregating tables using Kafka for streaming and Flink for processing, offering sub-second latency without complex management. This platform reduces total cost of ownership (TCO) by supporting hybrid, on-prem, and cloud environments, ensuring real-time data flows to destinations like Snowflake and Databricks while automating schema evolution and security measures. Streamkap's enterprise-grade solution handles various multi-tenant database architectures, including logical and structural models, and supports major databases like Postgres, MySQL, SQL Server, Oracle, and MongoDB. It leverages regex-based grouping and logical sharding strategies to manage high volumes of tables, offering ultra-low latency, enhanced security, reduced costs, and operational stability to transform fragmented data into actionable intelligence.

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.