Ensuring reliability and scalability

Maintaining high availability, efficient resource utilization, and data durability is essential for real-time applications. Tiger Cloud provides robust operational features to ensure seamless performance under varying workloads.

• High-availability (HA) replicas: deploy multi-AZ HA replicas to provide fault tolerance and ensure minimal downtime. In the event of a primary node failure, replicas are automatically promoted to maintain service continuity.
• Connection pooling: optimize database connections by efficiently managing and reusing them, reducing overhead and improving performance for high-concurrency applications.
• Backup and recovery: leverage continuous backups, Point-in-Time Recovery (PITR), and automated snapshotting to protect against data loss. Restore data efficiently to minimize downtime in case of failures or accidental deletions.

These operational capabilities ensure Tiger Cloud remains reliable, scalable, and resilient, even under demanding real-time workloads.

Real-time analytics is critical for modern applications, but traditional databases struggle to balance high-ingest performance, low-latency queries, and flexible data mutability. Tiger Cloud extends Postgres to solve this challenge, combining automatic partitioning, hybrid row-columnar storage, and intelligent compression to optimize both transactional and analytical workloads.

With continuous aggregates, hyperfunctions, and advanced query optimizations, Tiger Cloud ensures sub-second queries even on massive datasets that combine current and historic data. Its cloud-native architecture further enhances scalability with independent compute and storage scaling, workload isolation, and cost-efficient data tiering—allowing applications to handle real-time and historical queries seamlessly.

For developers, this means building high-performance, real-time analytics applications without sacrificing SQL compatibility, transactional guarantees, or operational simplicity.

Tiger Cloud delivers the best of Postgres, optimized for real-time analytics.

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