Why OLAP Persists in the Era of Big Data Analytics
The fact that OLAP software can be utilized to gather these big data insights is proof of its relevancy today. And it will continue to persist because, again, it is rooted in sound theory.
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Modernize your traditional OLAP technology while reducing demands on IT's time and resources with Kyligence Augmented OLAP
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Generate faster insights on any business intelligence tool with a purpose-built platform for accelerating analytics on Big Data
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Securely scale access to business data across your organization with the world's fastest self-service analytics platform
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No matter how large the data sets you have, whether real-time or historical, however many users, whether macro or detailed analysis, Kyligence can manage your data assets in a unified platform and empower business analysts who rely on intelligent data.
Kyligence provides a cloud-native approach to build fast, flexible, and cost-effective data applications on any data lake or cloud data warehouse with support for Microsoft Azure, Amazon AWS, Google Cloud, and more.
Kyligence was formed by the founding team of Apache Kylin, the top-level Apache open source project. While serving enterprise customer needs, we also actively contribute and embrace open source technology.
Kyligence integrates Apache Kylin, Apache Spark, Apache Kafka, ClickHouse and other industry leading open source technologies into an enterprise-grade Intelligent Data Cloud. Embracing open source innovation while providing predictable operations creates real value as we intelligently manage your most valuable data.
A modern semantic layer maps complex data into business terms which runs as a service for every consumer with universal data definitions and industry standard interfaces (ANSI SQL and MDX) at petabyte scale.
With the power of machine learning, Kyligence will identify the most valuable data from SQL history, analyst behavior, data profiles, and runtime metrics automatically.
Using Kyligence’s Smart Pushdown™ Query Routing Engine, Kyligence retrieves data and serves queries from different sources including RDBMS, Data Lakes, and the Cloud, reading data and metadata from those sources for further optimization.
Guarantee query performance for your most valuable data with distributed aggregation and index technology. Get high performance and high concurrency for batch and streaming data.
Kyligence selects the most suitable storage engine based on the technical characteristics of different analysis scenarios. This includes pre-computed cubes, indexes, in-memory data, and more. This ensures the highest possible performance for a wide range of OLAP scenarios. Kyligence now has integrated support for Clickhouse storage indexes to optimize performance and cost for ad-hoc exploration.
Based on a cloud native architecture, Kyligence supports deployment in public clouds, private clouds, and on-prem environments. Designed with a separation of storage and computing, support for elastic scaling of computing resources, Kyligence maximizes cloud resources, improves efficiency, and reduces TCO.
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