Automate for event-streaming data at 10X velocity
Easily create workflows that process real-time application log streams, data from IoT platforms, message queues, eCommerce data, and more in just a few clicks. Connect event streams into your stack with a vast built-in library of connectors. Build any application or data integration that consumes or routes real-time streaming data with low-code speed and simplicity.
Instant connectivity to industry-leading message queues
Tray Platform provides integration with leading message queues such as Apache Kafka, IBM MQ, Rabbit MQ, and Amazon SQS. Connect to your queuing service in a few clicks, and begin receiving, deleting, and formatting messages. It's that easy.
Orchestrate event-driven streams with the Pub/Sub connector
Turn a single event-stream into streams that seamlessly feed any number of automations and integrations using the built-in Pub/Sub connector. Maximize incoming events from webhooks, messages, or any other source by publishing them to any number of subscribing Tray Platform workflows.
All-in-one solution for streaming data into your analytics tools
Flowing data across your real-time analytics infrastructure just got easier, with Tray Platform support for Apache Spark, AWS Kinesis, Power BI, Databricks, and other services. Visual business logic includes loops, conditions, and scripts that provide low-code flexibility to dedupe, concatenate, and cleanse data.
Elastic serverless scalability to crunch the biggest event streams
Effortlessly stream at scale with a modern serverless platform that elastically processes nearly unlimited data volumes in parallel, without painful sizing and provisioning. It's the power you need to crunch event-based and streaming data via webhooks, message queues, native application events, or Pub/Sub.