Discover the challenges of scaling PostgreSQL — from replication lag to lock contention — and learn how SingleStore delivers unified, high-performance SQL for transactional, analytical, and AI workloads without the patchwork architecture.

SingleStore Blog offers insights, tutorials, and updates on SingleStore, a distributed SQL database used for real-time analytics and data warehousing. Covering topics such as database architecture, performance tuning, and SQL queries, SingleStore Blog provides resources for developers and database administrators. Developers can learn about building scalable and high-performance applications with SingleStore by following their blog.

SingleStore

PostgreSQL faces significant scaling challenges as applications grow, requiring complex workarounds like read replicas, manual partitioning, and additional tools for caching and analytics. These solutions create operational overhead and architectural complexity. The database's row-based storage struggles with analytical workloads, while lock contention limits write throughput. AI workloads with vector embeddings further strain the system. SingleStore is presented as an alternative that combines transactional and analytical capabilities in a unified, horizontally scalable SQL engine with built-in vector search and hybrid storage formats.

Scaling PostgreSQL vs. SingleStore: Overcoming Performance & Complexity Limits

Beyond architecture: the technical limits of Postgres

The alternative: Unified, scalable SQL with SingleStore

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