Just like the classic Scott Bakula tv series, the new InfluxDB 3.0 is a quantum leap forward. Of course, for us it’s the evolution of the InfluxDB product suite. InfluxDB 3.0 is the designation for all products powered by the InfluxDB IOx engine. The latest product release in this new suite is InfluxDB Cloud Dedicated. Let’s jump into the basics for InfluxDB Cloud Dedicated. WHO: There are several different groups of users that should consider using InfluxDB Cloud Dedicated.

Open source project InfluxDB IOx becomes InfluxDB 3.0, the next-generation time series database powering all InfluxDB products. InfluxDB Cloud Dedicated added to suite of enterprise-grade cloud services.

It’s been literally years now that I have been first tangentially, and then intimately involved with the project that has become InfluxDB 3.0. I started using it so early that one of the DataFusion upstream developers literally calls me “User0” … a moniker of which I am not-so-secretly proud.

Today we have exciting news for Grafana customers with Flight SQL data sources: Now there is a new community plugin available for Grafana that allows it to communicate with Flight-SQL-compatible databases. Flight SQL is a client-server protocol developed by the Apache Arrow community for interacting with SQL databases. It utilizes the Flight RPC framework and the Arrow in-memory columnar format.

Databases power all modern applications. They’re behind your Angry Birds mobile game as much as they’re behind the space shuttle. In the beginning, databases were hosted on a single physical machine. Basically, it was a computer running only one program: the database. Then we moved to running databases on virtual machines, where resources are shared among multiple operating systems and applications.

This post was written by Mercy Kibet. Mercy is a full-stack developer with a knack for learning and writing about new and intriguing tech stacks. With the vast amount of time series data generated, captured, and consumed daily, how can you make sense of it? This data is projected to grow up to 180 zettabytes by 2025.

Many industrial operators find themselves amid yet another industrial revolution. Deeper insight through artificial intelligence (AI) and machine learning (ML) integrations characterize this fourth wave (or Industry 4.0). Data is no longer just a record occupying server space. It’s alive and providing value. Real-time insights work in tandem with historical records, painting a complete picture of the lifespan of a piece of machinery and/or its components.

In modern software applications, time-stamped data is a common requirement. As a software developer or database administrator, you know that formatting dates is crucial for ensuring data accuracy and consistency. But with so many date formats and SQL engines out there, it can be challenging to find the right way to format dates for your specific needs.

SQL provides a date type that developers can use to store date values. Also, to make working with dates easier, SQL has several date functions for retrieving, formatting, and manipulating dates. In this post, you’ll learn about some SQL date functions and how to use them.

In today’s business landscape, predictive maintenance has emerged as a critical strategy to optimize equipment performance, reduce downtime, and minimize maintenance costs. In this article you will learn about some tools that can be used to simplify the complexity involved with implementing a successful predictive maintenance program.