In Binomial distribution, the probability of repeated number of trials is studied while Poisson distribution gives the count of independent events occurring randomly within a given period.
The Binomial distribution has a fixed number of trials while the Poisson distribution has infinite number of trials.
In Binomial distribution, there is only two possible outcomes (success or failure) while the Poisson distribution has unlimited number of possible outcomes.
In Binomial distribution, the mean is greater than the variance while in Poisson distribution, the mean is the same as the variance.
The success in binomial distribution has a constant probability while in Poisson distribution the success has infinitesimal chance.
The Binomial distribution is usually Bi-parametric while in Poisson distribution is usually Uni-parametric. Bi-parametric means that there are two parameters involved while Uni-parametric refers to a single parameter involved.