Popular NoSQL Databases in 2026 NoSQL databases have matured considerably and now handle a significant portion of production workloads. The landscape has shifted toward specialized solutions rather than one-size-fits-all approaches. Here’s a breakdown of the most widely deployed options: Document Stores MongoDB remains the most popular document database. It’s production-ready, well-documented, and offers strong consistency…
SQL Layers on NoSQL Databases SQL layers abstract traditional relational query interfaces over distributed NoSQL and big data systems, enabling applications to leverage SQL’s familiarity while benefiting from horizontal scalability. Here are the key approaches and systems that have emerged in this space. Distributed SQL on Key-Value Stores Phoenix (Apache Phoenix) provides a SQL interface…
Note: This post covers Windows-related tips and networking. Core concepts remain applicable to modern Windows (10/11), but specific version details may have changed. The public cloud storage services like Amazon S3, Google Cloud Storage and Windows Azure Storage replicate the data to ensure high availability. On the other hand, with data being replicated, the storage…
Overview Colossus is Google’s successor to the Google File System (GFS), designed to handle the massive scale of data storage across Google’s infrastructure. While GFS was documented in detail in the 2003 SOSP paper, Colossus information remains sparse in academic literature—much of what we know comes from talks and interviews with Google engineers. Colossus serves…
Foundation Papers Understanding distributed systems and cloud computing starts with the literature. These papers form the foundation for anyone working in the space — they’re not just historical artifacts, they’re still actively referenced and their design principles remain relevant. Internet-Scale Systems and Datacenters The Google cluster architecture paper remains essential reading. It laid out the…