TigerEye Labs Inc., an artificial intelligence-powered planning and revenue management platform company, today announced the open-source release of DuckDB.dart, a tool that helps developers build and ...

With the new Databricks Apps partners and customers can rapidly build and deploy native applications for the Databricks Data Intelligence Platform that tap into the system’s data and leverages its ...

New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...

Traditional RAID solutions reduce both the performance and endurance of solid state drives. Here’s how Pliops XDP provides reliable data protection to SSDs without the performance penalty. NVMe SSDs ...

Upstash announced a $1.9 million seed round almost exactly two years ago, and an idea for building a serverless data platform for data-intensive applications built with Redis and Kafka. That doesn’t ...

Over at TechCrunch, Alex Williams writes that Amazon Web Services has added a new storage instance for data intensive applications. Designed for applications that require high storage depth and I/O ...

When data-intensive applications meet the cloud, there may be stormy weather ahead. Cloud computing services undeniably generate a long list of benefits: for example, economies of scale, ...

Industry publications and thought leaders have been touting the benefits of composable design for both business and architecture. Andy Vidan, CEO and co-founder, Composable Analytics talked ...

An edge data center is a physical facility that processes data at or close to where the data is generated. The goal is to deliver operational and business insight for latency-sensitive or ...