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
Overview
Syllabus
Hosted by Chariot Solutions
You do need/want ML applied to your database
Example
Automating configuration
How much can we automate?
Two kinds of cloud databases
Why Native grows faster
What query language do Native databases use?
Table stakes for native cloud databases
Bonus prediction: multi cloud!
Shameless plug #1: DataStax Astra
Three eras of open source
Cloud vendors?
Do we just need a different license?
Prediction: AAS replaces OSS as adoption vector
Corollary: less OSS overall
Hybrid cloud, pt 2
Specialized compute will not be relevant
Stuff graph databases are good at
Stuff graph databases are not good at
Can we add graph features to non-graph DBs?
Shameless plug 2: DataStax Graph 6.8
Taught by
ChariotSolutions
