Generally, data monitoring can be referred to as a continuous process of observing and tracking data in order to ensure its integrity, quality, and conformance with specific standards or requirements. Data monitoring often involves systematic data collection, analysis, and reporting to identify patterns, trends, anomalies, and potential issues.

Maybe you came across the term “vector database” and are wondering whether it’s the new kid on the block of data retrieval systems. Maybe you are confused by conflicting claims about vector databases. The truth is, the approach used by vector databases has been around for a few years.

If we turn the clocks back to September 2013, we released InfluxQL alongside InfluxDB. InfluxQL is a SQL-like query language, specifically designed to query time series data. For many of our users, InfluxQL still remains the primary way they interact with InfluxDB. Based on this feedback, InfluxQL has been reborn in InfluxDB 3.0 alongside native support for the SQL query language. So what do I mean by reborn?

Take back control of your Monitoring with Levitate - a managed time series data warehouse.

On July 4th we celebrate. We celebrate freedom of movement, freedom of assembly, removal of excessive taxation, and much, much more. But what about digital independence? Removing the tyrannical yoke of control over your observability data. Authoritarian vendors restrict access and movement; they dictate proprietary formatting and even limit what can be commingled with your data, then apply enormous tax burdens (i.e. license fees) just to store your data.