π Meet @ferret_db β the fully open-source @MongoDB alternative powered by PostgreSQL!
π Learn more: https://t.co/AJ4tbxDjs3
Hereβs why FerretDB is a game-changer:
β Seamless MongoDB compatibility with PostgreSQL.
β Use familiar tools, drivers, and query languages you already know.
β A stateless proxy that converts MongoDB queries into SQL for ultimate efficiency.
Itβs a true drop-in replacement for MongoDB, keeping your stack open-source and future-ready!
π Our community is fully supported by @ferret_db
#OpenSource #PostgreSQL #MongoDB #Tech
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
π Best NoSQL Practices for Ensuring Consistent Data Reads
π https://t.co/2F3nvcNlzo
This piece offers strategies to achieve consistent data reads in NoSQL environments.
π Data Modeling in Machine Learning Pipelines: Best Practices Using SQL and NoSQL Databases
π https://t.co/gFPwfjA60V
Explore the significance of data management in machine learning workflows and best practices for data modeling using both SQL and NoSQL databases.
π Guide to NoSQL Databases in 2025
π https://t.co/wD1i0wiDBd
In-depth overview of NoSQL databases, discussing their types, advantages, disadvantages, and popular options.
π SQL and NoSQL Databases Software architectures performance analysis and assessments
π https://t.co/AlCkdVEQhW
Systematic literature review analyzing the software architectures of SQL and NoSQL databases, particularly in the context of Big Data processing and cloud environments.
π A Taxonomy of Schema Changes for NoSQL Databases
π https://t.co/ZoJKGhHGCX
β¬οΈ Generic approach for evolving NoSQL and relational schemas, introducing a taxonomy of schema changes for all U-Schema elements.
β Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications
πhttps://t.co/gO5RQ9zc61
Analysis of various data consistency settings for widely used NoSQL DBMSs, including @MongoDB, @Redisinc, and @cassandra.
π Comparing CosmosDB, DocumentDB, MongoDB, and FerretDB as Document Database for Your Stack
π https://t.co/u4meMSF46J
Dated June, 2023 -> Old but still gold π
π Microsoftβs new DocumentDB rethinks NoSQL on PostgreSQL
π https://t.co/9vtWujCKEb
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.
π§βπ» Bridging two worlds: An introduction to document-relational databases
π https://t.co/dF0krKWAt3
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 βοΈ
β‘οΈ Best NoSQL Databases for Microservices: Features, Pros, and Cons
π https://t.co/K2wo8qTRDV
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.
ποΈ The importance of interoperability and compatibility in database systems
π https://t.co/5lfe8ZPGlX
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 offerings (like AI/ML, development, deployment, and storage) drives decisions more than the database itself.