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Study mode:
on
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Hosted by Chariot Solutions
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You do need/want ML applied to your database
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Example
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Automating configuration
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How much can we automate?
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Two kinds of cloud databases
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Why Native grows faster
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What query language do Native databases use?
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Table stakes for native cloud databases
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Bonus prediction: multi cloud!
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Shameless plug #1: DataStax Astra
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Three eras of open source
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Cloud vendors?
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Do we just need a different license?
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Prediction: AAS replaces OSS as adoption vector
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Corollary: less OSS overall
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Hybrid cloud, pt 2
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Specialized compute will not be relevant
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Stuff graph databases are good at
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Stuff graph databases are not good at
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Can we add graph features to non-graph DBs?
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Shameless plug 2: DataStax Graph 6.8
Description:
Explore predictions for the future of databases in this 47-minute conference talk. Delve into the impact of machine learning, graph algorithms, hardware trends, and cloud services on database technology. Learn about the automation of database configuration, the growth of native cloud databases, and the evolution of query languages. Examine the changing landscape of open source software and its relationship with cloud vendors. Investigate the potential of hybrid cloud solutions and the role of specialized compute. Gain insights into the strengths and limitations of graph databases, and consider the possibility of integrating graph features into non-graph databases. Discover how these trends may shape the database industry over the next five years.

The Next Five Years in Databases - Predictions and Trends

ChariotSolutions
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