Enable cloud data high availability through real-time database and object store data replication, ensuring seamless data synchronization and resilience across cloud environments.
Multi-node Deployments with Automatic Failover
Smart Data Pipelines to monitor and manage Disaster Recovery
Data Replication with support for Exactly-Once Processing
Discover the ultimate toolkit for scaling your real-time data operations! Striim’s multi-node deployment boosts performance, keeping your data flowing—even during surges or outages. With high availability, cross-cloud flexibility, and disaster recovery, this setup ensures your data stays resilient and protected across regions. It’s the seamless, scalable infrastructure every data-driven enterprise needs!
Striim’s resilient, high availability infrastructure keeps your data flowing with seamless database and streaming replication, precise processing, and self-healing pipelines that eliminate data loss and downtime.
Striim Cloud Mission Critical: an all-in-one data streaming platform for mission-critical Data and AI applications, offering seamless deployment of scalable pipelines with high availability and resilience. This managed, multi-node solution offers unparalleled scalability, reliability, and built-in disaster recovery, letting enterprises monitor and rebalance workloads dynamically. With fast pipeline setup, private cloud connectivity, and streamlined Google Cloud integrations, it transforms data operations for high-stakes environments.
Striim is a unified data integration and streaming platform that empowers companies to achieve high availability within their cloud infrastructure. By continuously capturing, integrating, and streaming data in real time, Striim ensures that critical business systems remain operational without disruption. Its change data capture (CDC) technology allows seamless data flow from legacy systems, enabling businesses to proactively manage their operations while maintaining the highest levels of performance. With Striim, companies can ensure that their data is always up-to-date, minimizing downtime and optimizing cloud environments for reliability and speed.
