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Scale out easily based on Apache Spark architecture and generate instant insights on your ever-growing business-critical data - all at sub-second speed.
Kyligence Enterprise provides an active high availability (HA) deployment for both job node and query node by default, ensuring the stability of the mission-critical analytics and avoiding the impact of potential hardware or system failure.
Kyligence Enterprise adopts a non-invasive architecture, which makes it simple and light. Meanwhile, the read-write separation architecture and a built-in self-protection mechanism guarantee reliability and stability in extreme scenarios.
Kyligence leverages Apache Spark for high-performance processing and real-time data analysis with low-latency data updates and the industry's only batch/streaming hybrid model for analysis scenarios. Business users only need to pass a model definition and a SQL statement to analyze real-time and historical data. IT teams only need to maintain ONE set of architecture to support the business analysis of batch and streaming data.
Learn the evolution of cloud analytics, and how you can achieve performance, efficiency, scalability, and security for data engineering and analytics workloads on the cloud.
Help your business go from data to insight faster than ever with this guide to updating your IT and analytics environment in the age of Big Data.
Learn how Kyligence helped the restaurant chain giant shorten the data development and analytics cycle, and reduce labor costs and resource requirements.
Learn about the evolution of cloud analytics, and how you can achieve performance, efficiency, scalability and security for your data engineering and analytics workloads on cloud.
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