A streaming distributed decentralized database task system can perform multiple tasks on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.