In an era defined by the rapid advancements of artificial intelligence and the need for scalable distributed systems, MongoDB Inc. is at the forefront, empowering developers and organizations to ...

Today’s world is run on data, and the amount of it that is being produced, managed and used to power services is growing by the minute — to the tune of some 79 zettabytes this year, according to one ...

Distributed databases have become interesting and attractive in the last decade, as companies with world-wide operations require transactional databases with horizontal scalability and global reach.

Cosmos DB is undoubtedly one of the most interesting products in Microsoft’s Azure portfolio. It’s a fully managed, globally distributed multi-model database that offers throughput guarantees, a ...

Learn why, when, and how to use conflict-free replicated data types to bring strong eventual consistency to your geo-distributed applications Roshan Kumar is a senior product manager at Redis Labs.

The increased requirements of modern analytical workloads, querying billions of rows on demand, are a challenge for relational databases because they're optimized for transactional workloads. While ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

Here, we develop a high-cadence, high-density light curve pipeline (HCHDLP) to process the GWAC data in real-time, and design a distributed shared-nothing database to manage the massive amount of ...

The distributed lag model (DLM), used most prominently in air pollution studies, finds application wherever the effect of a covariate is delayed and distributed through time. We specify modified ...