Document Database Community
@DocDatabaseCom
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We talk about technology challenges, assist in the emergence and development of techniques, popularize solutions in the document database space.
San Francisco, CA
Joined February 2023
π Meet @ferret_db β the fully open-source @MongoDB alternative powered by PostgreSQL! π Learn more: https://t.co/M0lIE5qhpr Hereβs why FerretDB is a game-changer: β
Seamless MongoDB compatibility with PostgreSQL. β
Use familiar tools, drivers, and query languages you
ferretdb.com
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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: https://t.co/LKH5OOBDfC
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π Best NoSQL Practices for Ensuring Consistent Data Reads π https://t.co/jqxRos6onH This piece offers strategies to achieve consistent data reads in NoSQL environments.
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How @LinkedIn Uses NoSQL π π https://t.co/lZjH3DVPyr A case study on how LinkedIn leverages NoSQL databases for scalability and performance.
engineering.linkedin.com
LinkedIn started in 2003 with the goal of connecting to your network for better job opportunities. It had only 2,700 members the first week. Fast forward many years, and LinkedInβs product portfolio,...
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π Distributed Systems for Fun and Profit π https://t.co/KZijKo7KoK A free ebook that covers the fundamentals of distributed systems.
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π Database Scaling Strategies/ Cheat Sheet Check below π
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π Data Modeling in Machine Learning Pipelines: Best Practices Using SQL and NoSQL Databases π https://t.co/uz8FdAtaPP Explore the significance of data management in machine learning workflows and best practices for data modeling using both SQL and NoSQL databases.
dataversity.net
Successful machine learning (ML) pipelines depend on effective data modeling, making use of SQL and NoSQL database technologies in general.Β
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βοΈ Cloud Database Cheat Sheet Check below π
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βοΈ NoSQL Data Modeling Techniques π https://t.co/nyesEO0hlX A detailed guide on various data modeling techniques specific to NoSQL databases.
highlyscalable.wordpress.com
NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. This aspect of NoSQL is well-studied both in practice and theory because spβ¦
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π Guide to NoSQL Databases in 2025 π https://t.co/7UZ4TPgF9Y In-depth overview of NoSQL databases, discussing their types, advantages, disadvantages, and popular options.
vinova.sg
The global NoSQL database market is projected to grow significantly, from USD 12,295.11 million in 2024 to USD 141,624.06 million by 2033, with a CAGR of
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β‘οΈ Open Standards, Licensing, and Open Source π
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π SQL and NoSQL Databases Software architectures performance analysis and assessments π https://t.co/EWg7y4A1SS Systematic literature review analyzing the software architectures of SQL and NoSQL databases, particularly in the context of Big Data processing and cloud
arxiv.org
Context: The efficient processing of Big Data is a challenging task for SQL and NoSQL Databases, where competent software architecture plays a vital role. The SQL Databases are designed for...
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π A Taxonomy of Schema Changes for NoSQL Databases π https://t.co/yGau202Yee β¬οΈ Generic approach for evolving NoSQL and relational schemas, introducing a taxonomy of schema changes for all U-Schema elements.
arxiv.org
Schema evolution is a crucial aspect in database management. The proposed taxonomies of schema changes have neglected the set of operations that involves relationships between entity types:...
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Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications π https://t.co/ZYwirZAUC4 Analysis of various data consistency settings for widely used NoSQL DBMSs, including @MongoDB, @Redisinc, and @cassandra.
link.springer.com
Journal of Cloud Computing - When using database management systems (DBMSs), it is common to distribute instance replicas across multiple locations for disaster recovery and scaling purposes. To...
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π Comparing CosmosDB, DocumentDB, MongoDB, and FerretDB as Document Database for Your Stack π https://t.co/D7CiLCm9AA Dated June, 2023 -> Old but still gold π
documentdatabase.org
A blog post by David Murphy (Udemy) about the document databases' benefits and use cases for various technologies.
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π Microsoftβs new DocumentDB rethinks NoSQL on PostgreSQL π https://t.co/acJfhtEsGE 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.
infoworld.com
Standalone document-oriented database gives developers an open-source alternative to MongoDB now and perhaps an industry standard NoSQL API and engine later.
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π§βπ» Bridging two worlds: An introduction to document-relational databases π https://t.co/6n5EPmJ1Ad 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
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β‘οΈ Best NoSQL Databases for Microservices: Features, Pros, and Cons π https://t.co/jO5JHiSAMf This paper analyzes the features, advantages, and drawbacks of databases like @MongoDB and @cassandra, providing insights into their performance, scalability, and applicability in
researchgate.net
PDF | NoSQL databases have become essential for microservices architecture due to their scalability, flexibility, and ability to handle unstructured... | Find, read and cite all the research you need...
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ποΈ The importance of interoperability and compatibility in database systems π https://t.co/ewueSHPltY Database interoperability and compatibility are crucial in todayβs cloud-first world. In this session, weβll discuss how integrating with existing systems and all-in-one cloud
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