Stream all your Heap user interaction data directly into Kafka topics in real-time. Stop manually exporting behavioral data or building custom ETL scripts to move events between your analytics platform and streaming infrastructure.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically publish every click, tap, pageview, and custom event captured by Heap to designated Kafka topics. Create a unified event stream that combines behavioral analytics with other real-time data sources for instant processing across your architecture.
Detect when users complete key actions like signups, purchases, or feature adoptions in Heap and immediately publish those events to Kafka. Power real-time personalization engines, fraud detection systems, and customer success workflows with fresh behavioral signals.
When events flow through Kafka, automatically query Heap for historical user behavior and append session history, funnel position, and segment membership. Give every downstream consumer rich behavioral context without manual lookups or complex joins.
Periodically stream comprehensive exports of Heap event data into Kafka topics connected to long-term storage systems. Maintain tamper-proof audit trails of all user interactions for regulatory requirements while keeping data accessible for future analysis.
Monitor Kafka topics for unusual spikes or drops in Heap event throughput that might indicate tracking issues, outages, or unexpected user behavior. Automatically notify teams through their preferred channels when data quality problems emerge.
Capture backend events, API calls, and infrastructure signals flowing through Kafka and push them to Heap as custom events. Analyze the complete user experience including both client-side interactions and server-side operations in one behavioral analytics platform.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Heap and Kafka with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands Heap's auto-captured event schemas and Kafka's topic structures, partitioning strategies, and serialization formats, so you can move behavioral data at scale without custom code.
Redbird automatically maps Heap's event properties, user identities, session data, and custom attributes to properly structured Kafka messages with appropriate keys, headers, and serialization. The platform handles schema evolution as your Heap tracking expands, manages partitioning strategies for high-throughput event streams, and ensures exactly-once delivery semantics. No need to write Kafka producers, manage offset commits, or build error handling for failed events.
faster than building custom Heap-to-Kafka streaming pipelines
Redbird can pull from Heap and Kafka simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Heap or Kafka.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Heap into Kafka, or from Kafka back into Heap. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any user interaction in Heap or any event flowing through your Kafka topics.
Fires when Heap auto-captures any click, tap, pageview, or custom interaction from your web or mobile properties.
Triggers when a user's behavior qualifies them for a specific Heap segment based on interaction patterns or properties.
Detects when a user successfully progresses through all steps of a defined conversion funnel in Heap.
Retrieves the complete session timeline and interaction sequence for a specific user from Heap's behavioral database.
Sends a server-side or enriched event to Heap to augment auto-captured interaction data with backend context.
Modifies identity attributes or custom properties for a user in Heap based on external system data or computed values.
Fires when a new event or message is written to any monitored Kafka topic across your streaming infrastructure.
Triggers when any consumer group falls behind in processing messages by more than a specified offset or time window.
Detects when Kafka topics are repartitioned, signaling infrastructure scaling or configuration updates.
Writes a new event or record to a specified Kafka topic with custom keys, headers, and serialization format.
Provisions a new Kafka topic with specified partition count, replication factor, retention policies, and compaction settings.
Modifies retention periods, cleanup policies, compression settings, or other parameters for existing Kafka topics.
Stop building and maintaining custom streaming pipelines between Heap and Kafka. Connect your behavioral analytics to your event-driven architecture in minutes, not weeks.