As almost 90% of organizations are executing on a multi-cloud strategy for migrating their data and analytics workloads to the cloud, the term “modern data stack” continues to gain more traction. A modern data stack is a suite of technologies and apps built specifically to funnel data into an organization, transform it into actionable data, build a plan for acting on that data, and then implement that plan.

The community has spoken and the demand was clear: “BRING BACK THE INTERACTIVE SHELL USED IN 1.X” So it’s back… It works with InfluxDB V2… and has some improvements. The interactive shell allowed users to write data and interactively query data using InfluxQL. For newer users, InfluxQL is the SQL-like query engine that was native to the first major version of InfluxDB.

As more businesses generate and process data at the edge, the need to share data from edge nodes to a centralized cloud location increases. Replicating data from the edge to the cloud ensures consistency across an entire application and creates an uninterrupted historical record that preserves the critical context of time. Edge Data Replication (EDR) is a feature available in InfluxDB designed to address this challenge.

Aiven for Apache Kafka® The case for streaming over batch data continues to get stronger. Read on to see how our experience confirms this.

As the world continues to face unparalleled uncertainties due to climate change, using energy efficiently is more important than ever. Time series data plays a critical role in helping organizations operate in a greener and more sustainable way. In Finland, EnerKey operates a platform that drives sustainability and energy management to unearth savings from consumption data.

The Elastic Enterprise Search team is working on an exciting new project: Elastic Enterprise Search Connectors framework. It appeared in version 8.2 as a Technical Preview, and it has been significantly expanded in 8.3. Elastic Enterprise Search, and specifically Workplace Search, is a solution that helps harness the power of Elasticsearch to search over company documents.

InfluxDB is very powerful for working with time series data, but learning to use any new tool can be intimidating. The fear of a steep learning curve can delay or even prevent people from using new tools that would ultimately make things easier and more efficient. Fortunately, InfluxDB has over a dozen client libraries so you can work with InfluxDB using a language you already know.

Geo-temporal data has both location and time. It’s used for all sorts of applications, from tracking shipments, to predicting weather patterns, to building fitness apps. It’s powerful because it lets you know where and when events happen, so you can understand them better and connect them with other events.