#nosql
#nosql
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#sql #data-management #scalability #data-modeling #couchbase #cloud-computing #graph-databases #tinydb #json #python
fromInfoQ
5 days agoFirestore Adds Pipeline Operations with Over 100 New Query Features
Google has overhauled Firestore Enterprise edition's query engine, adding Pipeline operations that let developers chain together multiple query stages for complex aggregations, array operations, and regex matching. The update removes Firestore's longstanding query limitations and makes indexes optional, putting the database on par with other major NoSQL platforms. Pipeline operations work through sequential stages that transform data inside the database.
Software development
fromdeath and gravity
3 weeks agoDynamoDB crash course: part 1 - philosophy
A table is a collection of items, and an item is a collection of namedattributes. Items are uniquely identified by apartition key attribute and an optionalsort key attribute. The partition key determines where (i.e. on what computer) an item is stored. The sort key is used to get ordered ranges of items from a specific partition. That's is, that's the whole data model. Sure, there's indexes and transactions and other features, but at its core, this is it. Put another way:
fromChannelPro
4 months agoFrom real-time to reasoning: Why NoSQL is core to agentic AI
AI agents are steadily becoming embedded in enterprise workflows: automating customer interactions, coordinating operations, and reasoning across complex datasets. However, if you take a closer look beneath the surface, many organizations are struggling with the technical challenge of supporting them in real time. Legacy data architectures aren't built for this. To make agents performant, scalable, and accountable, IT leaders are turning to something familiar, but more flexible: NoSQL.
Artificial intelligence
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