The market for PostgreSQL DBMS offerings has heated up considerably in the last couple of years, especially as multiple solutions for optimization by leveraging cloud services have emerged. Recently I had the opportunity to talk to Apex Fintech, a provider of services for brokerage and wealth management about their use of Google Cloud AlloyDB.

Multiple recent surveys show that a high percentage of enterprises need to develop solutions that incorporate artificial intelligence, yet a low percentage of enterprises feel that they are ready for AI. The same studies show that data is an area of low readiness. In addition, I suspect that organizations and their data are likewise unprepared for techniques closely related to AI, such as GenAI, ML, LLM, RAG, and other forms of advanced analytics (predictive, statistics, single views).

Digesting our thoughts on the flight back from Amazon Web Services (AWS) hashtag#reinvent24, one of our first impressions was that Matt Garman's keynote did not start with all AI all the time, but began with the infrastructure and data that must support it.

The market for PostgreSQL DBMS offerings has heated up considerably in the last couple of years, especially as multiple solutions for optimization by leveraging cloud services have emerged. Recently I had the opportunity to talk to Apex Fintech, a provider of services for brokerage and wealth management about their use of Google Cloud AlloyDB.