All news with #firestore tag

MCP Toolbox Adds Firestore Tools for AI-Assisted Dev

🧰 MCP Toolbox now includes comprehensive Firestore tools that let AI assistants connect directly to Firestore from environments like Gemini CLI and other MCP-compatible interfaces. Built on the Model Context Protocol, these pre-built tools support document reads, collection queries, targeted updates, and security-rules validation to accelerate debugging, testing, and maintenance for NoSQL applications. Developers can perform complex queries and targeted updates in natural language, validate security rules before deployment, and reduce context switching between consoles and emulators. The release is accompanied by docs, quick start guides, a GitHub repo, and community channels to help teams adopt the features quickly.

What's New in Google Data Cloud: August Product Roundup

🔔 This Google Cloud roundup summarizes recent product milestones, GA launches, previews, and integrations across the data analytics, BI, and database portfolio. It highlights updates to BigQuery, Firestore, Cloud SQL, AlloyDB, and adjacent services aimed at easing ingestion, migration, and AI-driven operations. Notable items include MongoDB-compatible Firestore GA, PSC networking improvements for Database Migration Service, and a redesigned BigQuery data ingestion experience. The post also emphasizes resilience and DR enhancements such as immutable backups and Near Zero Downtime maintenance.

Firestore Adds MongoDB Compatibility - GA Release Now

🚀 Firestore with MongoDB compatibility is now generally available on Google Cloud. This launch lets developers run existing MongoDB drivers, code, and tools against a MongoDB-compatible API implemented on Firestore's serverless database, combining MongoDB ecosystem compatibility with Firestore’s multi-region replication, strong consistency, and pay-as-you-go pricing. New capabilities include over 200 API and query features (including $lookup and unique indexes), Firestore Studio enhancements, and Eventarc triggers for change data capture. Enterprise functions such as Point-in-Time Recovery, database cloning, and managed export/import support production and compliance workflows.