Exciting news for developers and database architects! Firestore's native compatibility with the MongoDB data model and protocol is now Generally Available. 🔥 This means you can now build and modernize applications using the popular MongoDB API and tools you already know, while leveraging the power of Firestore's fully managed, serverless platform. Learn more about modernizing your applications with Firestore → https://goo.gle/3UO75pk
Firestore now supports MongoDB API and tools
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Most apps start small, running on a single database instance. But what happens when your users suddenly grow 10x overnight? The secret to apps that handle this spike without crashing often comes down to one key choice: horizontal scaling vs vertical scaling. MongoDB’s sharding lets you spread data across multiple servers, making it easier to grow smoothly. Check out the full breakdown in this article on 3T Software Labs. 👇 https://lnkd.in/dyvhWZa4
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Most apps start small, running on a single database instance. But what happens when your users suddenly grow 10x overnight? The secret to apps that handle this spike without crashing often comes down to one key choice: horizontal scaling vs vertical scaling. MongoDB’s sharding lets you spread data across multiple servers, making it easier to grow smoothly. Check out the full breakdown in this article on 3T Software Labs. https://lnkd.in/dnbr7TV9
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Webcast September 9 & 10: MongoDB vs. Couchbase 📺 Jeff Morris and Matthew Groves will show how Couchbase outperforms MongoDB in critical benchmarks – and why it’s often the better fit for modern applications that demand speed, scale, and flexibility. Register here: https://lnkd.in/ehNCWyib
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Proud to showcase my MongoDB Sharding Strategies skill badge from MongoDB. This badge validates my knowledge in designing and managing sharded clusters in MongoDB to achieve scalability and high availability. It recognizes my understanding of setting up MongoDB's sharding architecture, distributing data across shards, identifying the optimal shard key for my application, and modifying my sharding strategy to adapt to evolving application demands, including chunk migrations and shard balancing techniques to optimize distributed workloads.
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In this episode, learn how MongoDB and Accenture are helping major financial institutions transform decades-old legacy systems into AI-powered, cloud-native applications. We'll explore real-world challenges, such as data migration complexity and regulatory compliance, and demonstrate proven modernization methodologies. We'll also demo what a GenAI-augmented modernization stack looks like. - ✅ Try MongoDB 8.0 → https://lnkd.in/dZWECkzG ✅ Sign-up for a free cluster → https://lnkd.in/dvf7_TTk ✅ Subscribe to MongoDB YouTube → https://lnkd.in/dkb5d7xX
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Firestore with MongoDB compatibility is now generally available! Build cost-effective, scalable apps using a familiar MongoDB-compatible API on Firestore’s serverless database. https://google.smh.re/565U
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Firestore with MongoDB compatibility is now generally available! Build cost-effective, scalable apps using a familiar MongoDB-compatible API on Firestore’s serverless database. https://google.smh.re/565W
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Firestore with MongoDB compatibility is now generally available! Build cost-effective, scalable apps using a familiar MongoDB-compatible API on Firestore’s serverless database. https://google.smh.re/57ER
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Most apps start with a single database instance. But what happens when your user base suddenly 10x overnight? The difference between apps that scale gracefully and those that crash under pressure often comes down to one decision: horizontal vs vertical scaling. Learn the critical factors that determine when MongoDB sharding becomes essential for your project's success. 👇 https://lnkd.in/gKUEK6_D
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Firestore with MongoDB compatibility is now generally available! Build cost-effective, scalable apps using a familiar MongoDB-compatible API on Firestore’s serverless database. https://google.smh.re/565_
To view or add a comment, sign in
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