📰 Recent News Highlights
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Databricks to Acquire Neon (~US$1B deal)
Databricks announced it will acquire the database startup Neon to bolster its AI-driven data management stack. The acquisition aims to help integrate and deploy AI agents more efficiently over unified data infrastructure. Reuters -
Wikimedia’s AI-friendly Database Upgrade
Wikimedia has revamped its backend: it converted its Wikidata entries (~19 million) into vectorized form to make them more accessible and semantically understandable for AI developers. This doesn’t change the public interface, but enhances how AI systems can query and use that data. The Verge -
Couchbase Buyout Sparks Market Reaction
Couchbase—known for its database platform oriented toward AI / scalable data infrastructure—saw its stock jump ~30% after a $1.5 billion buyout offer by Haveli Investments. Barron's -
MongoDB Posts Strong Q1, Investor Confidence
MongoDB’s Q1 2025 results exceeded expectations, with revenue growth (~22% YoY) and strong performance in its cloud DB product (Atlas). The market responded positively. Investors.com
🔍 Key Technology & Research Trends
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SQL Server 2025 Preview Features
Microsoft’s upcoming SQL Server 2025 includes enhancements in AI, analytics, intelligent query processing, security, and support for hybrid environments (on-prem + cloud). Microsoft Learn -
Neo4j Infinigraph: OLTP + OLAP for Agentic AI
Neo4j is pushing a new architecture (Infinigraph) that aims to combine transactional (OLTP) and analytical (OLAP) workloads in one system—particularly targeting workloads for agentic or autonomous AI systems. InfoWorld -
Google Spanner Adds Columnar Engine
In a move toward hybrid workloads, Google is enhancing Spanner with a columnar engine to better support analytics directly on transactional data, reducing the need for heavy ETL pipelines. InfoWorld -
Disaggregated DBMSs (Research Trend)
One strong research direction is disaggregating DBMS architecture: separating compute, storage, memory, etc., so each scales independently. This can lead to more efficient resource usage in cloud environments. arXiv -
QMDB: Quick Merkle Database
A novel design combining Merkle trees with key-value storage to support blockchain-style verifiable databases, achieving high throughput (claimed up to ~6× over RocksDB) and very compact memory usage. arXiv -
Web3DB: Decentralized RDBMS Design
Web3DB is an academic proposal for a decentralized relational database that adheres more closely to Web3 principles (data ownership, no central authority) while still supporting SQL-like operations.
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