Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases ...

Cardinality estimation (CardEst) plays a crucial role in the optimization of query execution plans. Over the past decade, a number of methods have been proposed to address this issue, but limitations ...

Nearly half of the databases that the Centers for Disease Control and Prevention used to update regularly — surveillance systems that tracked public health information like Covid vaccination rates and ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Is your feature request related to a problem? When dealing with high cardinality data, Materialized Views (MVs) can become excessively large and inefficient, leading to significant performance and ...

InfluxData, creator of the leading time series platform InfluxDB, is providing new capabilities in the InfluxDB 3.0 product suite, simplifying time series data management at scale. InfluxData also ...

Time series database startup InfluxData Inc. is beefing up the capabilities of its flagship product InfluxDB with a major update rolled out today that’s designed to simplify the task of managing time ...

InfluxData is releasing an updated version of the databases it markets under the name InfluxDB 3.0, it said Wednesday. The updates to InfluxDB 3.0 are aimed at easing development of applications based ...

Cardinality estimation (CE) is crucial in optimizing query performance in relational databases. It involves predicting the number of intermediate results a database query will return, directly ...

A massive data breach by a company named National Public Data could have made billions of personal financial records vulnerable. Many Americans are wondering if they've been personally affected and ...