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Amazon Web Services Inc. today announced the general availability of vector search to DynamoDB, the company’s high-availability NoSQL key-value and document database designed for high speed and scale.
The update is expected to simplify AI application development by eliminating the need to maintain a separate vector database, lowering operational overhead and improving governance, analysts say. AWS ...
An application programming interface (API) is code that enables two software programs to communicate. An API facilitates the exchange of data, features and functionalities between software ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Data security is a non-negotiable strategic imperative cloaked with business implications for risk management and competitive advantage. Organizations today face ever-increasing cybersecurity risks -- ...
For users in the DynamoDB environment, implementing vector search has been overly complicated. Amazon’s “Zero ETL” forces a dual-service approach (managing both DynamoDB and OpenSearch) and requires ...
When it’s time to come down from a tree, black bears are equally skilled at descending. Unlike humans, who typically climb down feet-first, black bears are daredevils. They can go feet-first or ...
SUNNYVALE, Calif., May 05, 2026 (GLOBE NEWSWIRE)-- ScyllaDB today announced Vector Search for its DynamoDB-compatible API (Alternator). For the first time, developers building on the DynamoDB API can ...
It's Wednesday, which means it's as good a time as any to unload some of those pent-up gripes from the past week in the Internet's favorite place for complaints, The Gripe Report. It's hard to believe ...
Data API Builder helps developers expose database objects through REST and GraphQL without building extensive custom data access code. Steve Jones' Visual Studio Live! San Diego 2026 session will show ...
Frugal AI bridges the digital divide by creating leaner systems for regions underserved by Silicon Valley’s resource-heavy models. These models prioritize local data sovereignty and cultural ...
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