This article reviews the motivations behind NewSQL, outlines its three main classifications, examines the technical challenges such as memory storage, sharding, concurrency control, replication and crash recovery, and provides a discussion on its scalability and architectural trade‑offs.
The article explores the evolution of data processing from Hadoop and Spark to modern SQL, NoSQL, and NewSQL solutions, comparing their architectures, performance trade‑offs, and use‑cases, while illustrating concepts with examples like MapReduce, Hive, Impala, and streaming platforms such as Storm.
This talk walks through the evolution of databases, explains the challenges of building a distributed key‑value system that provides full ACID properties, and details the architectural components, sharding, migration, snapshot isolation, two‑phase commit, timestamp handling, and distributed transaction processing techniques.
In this expert Q&A, Baidu’s senior big-data specialists reveal common project pitfalls, argue for Java in Hadoop-style systems, discuss MongoDB deployment, outline criteria for choosing open-source versus self-built solutions, and evaluate the viability of NewSQL/Spanner-type startups.
This article presents a comprehensive technical overview of TiDB, a NewSQL distributed database, covering its architecture, SQL layer, KV engine, distributed transaction mechanisms, code implementation in Go, open‑source practices, and future roadmap.
This article chronicles the historical shift from early hierarchical data models to relational SQL, the rise of NoSQL, and the emergence of NewSQL solutions like Alibaba's DRDS, illustrating key concepts with diagrams, code examples, and a detailed Q&A.
The article examines the evolution of database technologies—from traditional relational databases and their ACID guarantees to NoSQL, NewSQL, and Hadoop—illustrating how a gaming company can combine these solutions to handle massive online traffic, ensure data integrity, and enable advanced analytics.
