About the Partnership
InfluxData is a purpose-built platform for time-series data, optimized for real-time analytics and high-performance ingestion. Its core database, InfluxDB, efficiently handles large volumes of time-stamped data, enabling complex queries with minimal latency. It supports multiple programming languages and offers 300+ integrations. Combining scalability with powerful analytics, InfluxDB is ideal for IoT, industrial monitoring, and Machine Learning applications. It empowers organizations to store, process, and analyze streaming data, delivering valuable insights for real-time decision-making and operational efficiency.
Crosser and InfluxData enable seamless real-time industrial data processing, integrating edge intelligence with scalable, high-performance time-series storage and analytics. This powerful combination enhances operational efficiency, accelerates insights, and supports advanced IoT applications with reliable, low-latency data handling at any scale.
- Real-time Data Processing
Process and analyze time-series data instantly for faster insights and decision-making. - Seamless Edge-to-Cloud Integration
Collect, process, and enrich operational and asset data at the edge before securely sending it to InfluxData for storage and further analysis. - Advanced Analytics and Automation
Combine Crosser’s low-code intelligence with InfluxData’s powerful querying and visualization for smarter operations. - Low-Latency Insights
Minimize delays in data processing to enable real-time monitoring, automation, and predictive maintenance. - Scalable and Flexible
Adapt to any infrastructure, whether on-premise, in the cloud, or at the edge, to meet evolving business needs, with hybrid deployment flexibility. - Reduced Data Storage Costs
Pre-process and filter data at the edge to store only relevant information in InfluxData, optimizing storage and retrieval costs. - Modern Digital Historian
Together, Crosser and InfluxDB create a modern, flexible, and scalable historian solution for industrial IoT data, replacing legacy systems with a more interoperable and cost-effective alternative.