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Document Database
Articles filed under Document Database
Articles
Showing 1–5 of 5
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Event Sourcing and CQRS with Marten
After examining persisted system states in a relational database, Jeremy discovers that he needs to use the Marten library to provide robust support for Event Sourcing.
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To MongoDB, or Not to MongoDB
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Ben Coe argues that the NoSQL versus SQL debate is not absolute and shares his pragmatic experience using MongoDB for Attachments.me. He traces underlying trade-offs—schemaless, denormalized modeling, and developer-oriented design versus traditional SQL robustness and mature tooling—and demonstrates how MongoDB can fit real-world applications, including modeling a music store, executing complex queries, and scaling concerns. Coe cautions against overreliance on sharding, emphasizes indexing and workload characterization, and concludes that MongoDB is powerful for certain big-data and rapid-prototyping needs, but not a universal solution.
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What’s New in RavenDB 2.5
In this article Oren Eini highlights what he views as the standout additions in RavenDB 2.5—result transformers, scripted patching, SQL replication, unbounded streams, dynamic reporting, concurrent writes, and indexing optimizations—explaining how they enable richer server-side projections, safe large exports, easy migrations and RDBMS integration, faster writes and smarter indexing; overall he argues these features make RavenDB a more powerful, production-ready, “zero friction” document database worth adopting.
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Getting Started with RavenDB
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You might have heard some things about NoSQL; how Google and Facebook are using non-relational databases to handle their load. And in most cases, this is where it stopped. NoSQL came about because scaling relational databases is somewhere between extremely hard to impossible.
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Introducing a huMONGOus Database
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Nowadays archiving, searching and processing the explosion of data generated in applications means coming up with nontraditional ways of dealing with the data. NoSQL solutions offer intriguing and unique ways of handling the volumes of data available to us. Additionally, 10Gen offers an open source distributed document-oriented solution called MongoDB.