With the intuitive Kusto Query Language (KQL) you can query an enormous amount of data and perform ad-hoc analytics in seconds. In short, the advantages of ADX can be summed up using the three Ps: Power, Performance, Price.Īzure Data Explorer has a unique column-store inverted-index design. ADX enables real-time analysis of large volumes of heterogeneous data in seconds and allows rapid iterations of data exploration to discover relevant insights. Why organizations are moving to Azure Data ExplorerĪzure Data Explorer is a highly scalable and fully managed data analytics service on the Microsoft Azure Cloud. Appendix: Step by step example – using Logstash to migrate historical data from Elasticsearch to Azure Data Explorerġ.How to use Logstash to migrate historical data from Elasticsearch to Azure D ata Explorer.How you can send data to Azure Data Explorer through Logstash (or other tools).What additional tools for data exploration, visualizations, and dashboards are available.How you can use Azure Data Explorer with Kibana.Why organizations are moving to Azure Data Explorer.This blog post covers the following topics: Switching from ELK to Azure Data Explorer offers the opportunity to significantly boost performance, reduce costs and improve the quality of insights by offering advanced query capabilities all this without entering a long and compl ex migration, thanks to the tools described below. M igration between big data platforms sounds like a long and complicated process. One common scenario is that organizations are already using Elasticsearch, Logstash, and Kibana (The ELK Stack). ī ut sometimes they are already using other tools. Many of them are shifting towards Azure Data Explorer (ADX) and tak ing advantage of the significant benefits it offers to analyze billions of records quickly and cost-effectively. With an ever-expanding ocean of data, more and more organizations need to perform advanced and fast analytics over their business data, logs, and telemetry while seeking to reduce costs.
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