> Anything loosely connected to AI + LLMs received the bulk of the attention (rightly so, as it is a new chapter in computing)

Beyond LLMs and vector search, the scope for applying AI / machine learning _within_ databases is enormous: join planning, learned indexes, compression, workload prediction, configuration tuning etc.

Given the current pace of advances perhaps a dedicated "AI in Databases in 2024" review will be on the cards this time next year.

Thanks for the writeup; in my opinion WCOJ is the most interesting development in core technology.

I'll have to disagree about database customers becoming more savvy; cloud has brought in a whole new crackpipe for managers to smoke.

A bit random but I wonder if anybody knows what happened to Tigris? It looked like a pretty promising product [1], then one day all activity just halted without any sort of announcement.

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1: https://hn.algolia.com/?q=tigrisdata , a FoundationDB-based document DB, alternative to Mongo and DynamoDB.

DuckPGQ is a super interesting project, since it would mean we would now have a good option for OLAP + graph queries in the same package. But afaict at the moment is a research project... I wonder if DuckDB has it in its roadmap to actually ship this feature.

Interesting article, what's with the weird sucking up to Larry Ellison at the end though? It was so weird I thought it was sarcasm but it seemed like it might be genuine?

> Basho went bankrupt in 2017, and now Riak is maintained by one person who works for the UK's NHS

Let Riak go...

Is there any progress or news on the main memory based databases?

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