It is a high-performance data processing framework with capabilities to handle streaming and batch data. It can leverage high-performance clusters as well we cloud services to efficiently process data.
Twister2 is a tool in the Background Jobs category of a tech stack.
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What are some alternatives to Twister2?
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
Python, Apache Beam are some of the popular tools that integrate with Twister2. Here's a list of all 2 tools that integrate with Twister2.