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AWS Introduces Vector Capabilities on Amazon S3
At the recent AWS Summit in New York City, AWS announced the preview of Amazon S3 Vectors, claiming to be the first cloud object store with native support for storing large vector datasets. The new option offers subsecond query performance, reducing the cost of storing AI-ready data compared to traditional vector databases.
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Yearly MariaDB LTS Release Integrates Vector Search
MariaDB has recently released MariaDB Community Server 11.8 as generally available, its yearly long-term support (LTS) release for 2025. The new release introduces integrated vector search capabilities for AI-driven and similarity search applications, enhanced JSON functionality, and temporal tables for data history and auditing.
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Redis 8 Targets AI Applications with New Data Type for Vector Similarity
Redis has recently announced the addition of Vector Set, a data type designed for vector similarity and a new option for AI applications. This new data type marks the first major contribution from Salvatore Sanfilippo (aka ‘antirez’), the creator of Redis, since rejoining the company.
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PlanetScale Vectors Now GA: MySQL's Missing Feature?
PlanetScale has recently announced that vector support is now generally available. Created as a fork of MySQL, this new feature allows storing vector data alongside an application's relational MySQL data, removing the need for a separate specialized vector database.