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Elasticsearch® has been used by developers to build search experiences for over a decade. At Microsoft Build this year, we announced the launch of Elasticsearch Relevance Engine™ — a set of tools to enable developers to build AI-powered search applications. With generative AI, large language models (LLMs), and vector search capabilities gaining mindshare, we are delighted to expand our range of tools and enable our customers in building the next generation of search apps.

Azure is Microsoft’s flagship cloud computing service, providing a host of capabilities and features to enable businesses to operate and thrive in the digital age. One of these offerings, Azure Data Lake, stands as a pivotal resource for organizations that process massive volumes of data. But what exactly is Azure Data Lake?

InfluxDB 3.0 (previously known as InfluxDB IOx) is a (cloud) scalable database that offers high performance for both data loading and querying, and focuses on time series use cases. This article describes the system architecture of the database. Figure 1 shows the architecture of InfluxDB 3.0 that includes four major components and two main storages.

InfluxDB Cloud 3.0 is a versatile time series database built on top of the Apache ecosystem. You can query InfluxDB Cloud with the Apache Arrow Flight SQL interface, which provides SQL support for working with time series data. In this tutorial, we will walk through the process of querying InfluxDB Cloud with Flight SQL, using C++. The C++ Flight SQL Client is part of Apache Arrow Flight, a framework for building high-performance data services.

InfluxDB 3.0 now offers support for connecting Tableau to InfluxDB 3.0 to query data for visualization using the Apache Arrow Flight SQL JDBC driver (Flight SQL driver). In this blog post, we will explore the capabilities and benefits of this integration and provide some instructions on how to connect them.