Databases in 2023: A Year in Review
ottertune.com
ottertune.com
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.
I'll have to disagree about database customers becoming more savvy; cloud has brought in a whole new crackpipe for managers to smoke.
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1: https://hn.algolia.com/?q=tigrisdata , a FoundationDB-based document DB, alternative to Mongo and DynamoDB.
It is genuine. Larry and I go way back.
Let Riak go...