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Introducing EDB Postgres®AI
An intelligent platform for unified management of transactional, analytical, and AI workloads — powered by Postgres.
Introducing EDB Postgres®AI
An intelligent platform for unified management of transactional, analytical, and AI workloads — powered by Postgres.
2Introducing EDB Postgres®AI
An intelligent platform for unified management of transactional, analytical, and AI workloads — powered by Postgres.
2An intelligent platform for unified management of transactional, analytical, and AI workloads — powered by Postgres.2An intelligent platform for unified management of transactional, analytical, and AI workloads — powered by Postgres.2An intelligent platform for unified management of transactional, analytical, and AI workloads — powered by Postgres.2An intelligent platform for unified management of transactional, analytical, and AI workloads — powered by Postgres.
EDB Postgres AI solves common enterprise challenges by extending enterprise-grade Postgres with native AI vector processing, an analytics lakehouse, and a unified platform for observability and hybrid data management.
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Pros
Cons
Data sync control (if interrupted, it can be resumed)
Data loaded continuously to target database (after initial snapshot)
Need replication software
User can access source database while data loads to target database
In trigger-based CDC, there could be a slight performance overhead
No Large Objects support
Partial replication (Set of tables can be replicated)
Partial to small application downtime (switchover time)
As neural automation embeds itself into more corners of modern life, concern is mounting. Job displacement feels increasingly imminent, governments are struggling to draft intelligent oversight, and both individual privacy and national security now hinge on whether these systems can be meaningfully controlled. So, who keeps these synthetic minds accountable?
Deena R., Co-Founder and CEO at Gridstep Labs and creator of the stealth-mode neural integrity startup, known only as “Project Relay,” sat down with us to talk about the tangled mess of safety, trust, and governance in the era of hyper-intelligent systems.
TESTING
| Pros | Cons | |
|---|---|---|
| Data sync control (if interrupted, it can be resumed) | ||
| Data loaded continuously to target database (after initial snapshot) | Need replication software | |
| User can access source database while data loads to target database | In trigger-based CDC, there could be a slight performance overhead No Large Objects support | |
| Partial replication (Set of tables can be replicated) | Partial to small application downtime (switchover time) |
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LEFT OUTER JOIN table2 ON table1.customer = table2.customer;
SELECT table1.firstname, table2.lastname
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