We talk about technology challenges, assist in the emergence and development of techniques, popularize solutions in the document database space.

Joined February 2023
207 Photos and videos
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🚀 Meet @ferret_db — the fully open-source @MongoDB alternative powered by PostgreSQL! 👉 Learn more: ferretdb.com Here’s why FerretDB is a game-changer: ✅ Seamless MongoDB compatibility with PostgreSQL. ✅ Use familiar tools, drivers, and query languages you already know. ✅ A stateless proxy that converts MongoDB queries into SQL for ultimate efficiency. It’s a true drop-in replacement for MongoDB, keeping your stack open-source and future-ready! 💙 Our community is fully supported by @ferret_db #OpenSource #PostgreSQL #MongoDB #Tech

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Document Database Community retweeted
5 Mar 2025
FerretDB 2.0, the Truly #opensource MongoDB Alternative is now Generally Available, and recommended for production workloads. Huge thanks to our OSS contributors, early adopters, the Postgres community, and our friends at @Microsoft. Full announcement: blog.ferretdb.io/ferretdb-v2…
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💙 Best NoSQL Practices for Ensuring Consistent Data Reads 🔗 moldstud.com/articles/p-top-… This piece offers strategies to achieve consistent data reads in NoSQL environments.
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📚 Distributed Systems for Fun and Profit 🔗 book.mixu.net/distsys/ A free ebook that covers the fundamentals of distributed systems.

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📈 Database Scaling Strategies/ Cheat Sheet Check below 👇
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🔄 Data Modeling in Machine Learning Pipelines: Best Practices Using SQL and NoSQL Databases 🔗 dataversity.net/data-modelin… Explore the significance of data management in machine learning workflows and best practices for data modeling using both SQL and NoSQL databases.
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☁️ Cloud Database Cheat Sheet Check below 👇
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➡️ Open Standards, Licensing, and Open Source 🔗 youtube.com/live/DJIPLRo4Vhs…

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📈 SQL and NoSQL Databases Software architectures performance analysis and assessments 🔗 arxiv.org/abs/2209.06977 Systematic literature review analyzing the software architectures of SQL and NoSQL databases, particularly in the context of Big Data processing and cloud environments.
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Let's share #memes of the day. Looks too familiar, right? 😁
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📌 A Taxonomy of Schema Changes for NoSQL Databases 🔗 arxiv.org/abs/2205.11660 ⬆️ Generic approach for evolving NoSQL and relational schemas, introducing a taxonomy of schema changes for all U-Schema elements.

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📍 Microsoft’s new DocumentDB rethinks NoSQL on PostgreSQL 🔗 infoworld.com/article/381263… Explore Microsoft's latest standalone document-oriented database, offering developers an open-source alternative to MongoDB and potentially setting a new industry standard for NoSQL APIs.
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SQL vs NoSQL Key FAQs for Developers Explained 🧑‍🏫 🔗 moldstud.com/articles/p-sql-…
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🧑‍💻 Bridging two worlds: An introduction to document-relational databases 🔗 youtube.com/live/adhlcZsTuuM… Ever wondered what would happen if the agility of NoSQL document databases married and had kids with the rigors of relational databases? Documents, but with foreign keys and JOINs. Schema enforcement, but with multi-Region and multi-active but strongly consistent ACID transactions. Learn more in our video ☝️

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➡️ Best NoSQL Databases for Microservices: Features, Pros, and Cons 🔗 researchgate.net/publication… This paper analyzes the features, advantages, and drawbacks of databases like @MongoDB and @cassandra, providing insights into their performance, scalability, and applicability in microservices environments.
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🎙️ The importance of interoperability and compatibility in database systems 🔗 youtube.com/live/iS45PwK1bZQ… Database interoperability and compatibility are crucial in today’s cloud-first world. In this session, we’ll discuss how integrating with existing systems and all-in-one cloud offerings (like AI/ML, development, deployment, and storage) drives decisions more than the database itself.

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