Les 10 concurrents hydradb.com les plus visités

hydra.so

Serverless Analytics on Postgres

surrealdb.com

Common questions about managed instances: getting started, limits, security, pricing, legal terms, and troubleshooting.

appwrite.io

Appwrite's privacy policy outlines the purpose and scope of data collection necessary to operate our business and its impact on users.

dbdb.io

Database systems matching: Databases Tagged with Acquired Company.

arxiv.org

We perform a behavioral experiment of karma, a class of mechanisms for repeated resource allocation with attractive fairness and efficiency properties, in theory. Individuals in these mechanisms bid non-tradable credits that flow from resource consumers to yielders, like karma. Human subjects recruited on Amazon MTurk are repeatedly and randomly paired to bid karma according to time-varying and stochastic individual preferences or urgency to acquire resources. Treatments varied in the dynamic urgency process (frequent moderate urgency versus sporadic high urgency) and the richness of the bidding scheme (binary versus full range). Results are benchmarked against random allocation, and karma achieves a (almost) Pareto improvement over random, despite the MTurk subjects deviating significantly from the theoretically optimal Nash bidding policy. Maximum improvement is attained by subjects that deviate from Nash by up to one karma bid unit on average, and positive improvement is attained with average deviations of up to 3-4 bid units. These findings hold across all treatments, among which no significant differences are found, with the exception of the sporadic high urgency process with binary bidding treatment being (weakly) favorable over others. These results offer behaviorally robust lower bounds for the expected performance of karma in human populations. They also provide guidance for future testing and implementation of karma mechanisms in the real world.

ieeexplore.ieee.org

ieee xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | ieee xplore

dl.acm.org

acm digital library home page

github.com

Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity.

ycombinator.com

Y Combinator created a new model for funding early stage startups. Four times a year we invest in a large number of startups.

valiotti.com

The modern data stack tools we use in our projects are versatile and efficient. Contact us to learn what data stack is the best fit for your needs and goals.