Redbird AI syncs real-time event streams from Kafka directly into Snowflake tables, transforming and loading data automatically. Stop building and maintaining custom connectors, managing schema drift, or writing brittle ETL scripts to keep your warehouse current.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically ingest user behavior events from Kafka topics into Snowflake tables as they occur. Redbird transforms nested JSON payloads, flattens event hierarchies, and maintains partition structures so your BI tools always query fresh clickstream data without lag.
Continuously stream high-volume sensor readings, telemetry, and device status messages into optimized Snowflake schemas. Redbird handles batching, deduplication, and timestamp normalization across millions of events per hour without custom pipeline code.
Automatically route application logs, error traces, and performance metrics from Kafka into structured Snowflake tables. Your data team can run complex queries across historical logs without building log aggregation infrastructure or managing retention policies manually.
Monitor Snowflake tables for specific conditions—like anomalies in aggregated metrics or threshold breaches in daily rollups—and publish events to Kafka topics. Downstream microservices and applications react to analytical insights without polling the warehouse.
Join real-time Kafka event streams with reference tables, customer dimensions, and master data stored in Snowflake. Redbird enriches each event before writing it back to a new topic or loading it into warehouse tables with complete context.
Consume change data capture events from Kafka and apply them as inserts, updates, or deletes in Snowflake slowly-changing dimension tables. Redbird handles operation types, ordering, and conflict resolution so your warehouse reflects the latest state of operational systems.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Kafka and Snowflake 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 Kafka's event schemas and partition structures alongside Snowflake's table definitions, variant types, and clustering strategies—no custom connector configuration required.
Redbird reads Avro, JSON, and Protobuf schemas from Kafka topics and intelligently maps them to Snowflake table structures—handling nested objects, arrays, and variant columns. When event schemas evolve, Redbird detects changes and adjusts warehouse columns or transformations without breaking pipelines. You define the destination once; Redbird manages flattening, type casting, and column mapping as your event structure changes.
faster than building Kafka Connect pipelines with custom converters and transforms
Redbird can pull from Kafka and Snowflake 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 Kafka or Snowflake.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Kafka into Snowflake, or from Snowflake back into Kafka. 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 workflows from any Kafka event stream or Snowflake table change, then automate actions across your entire data infrastructure.
Trigger when a new event is published to a specified Kafka topic or topic pattern.
Trigger when consumer group lag for a topic exceeds a defined threshold indicating backlog.
Trigger when a new schema version is registered or an existing schema is updated.
Send a new message to a Kafka topic with specified key, value, and headers.
Provision a new Kafka topic with partition count and replication settings or modify existing topic configurations.
Register or update an Avro, JSON, or Protobuf schema in the schema registry for a subject.
Trigger when new records appear in a specified Snowflake table or view.
Trigger when rows matching specific filter criteria are inserted, updated, or deleted in a table.
Trigger when a scheduled analytical query returns results that meet defined business rule conditions.
Write new records or upsert data into Snowflake tables using merge logic on specified keys.
Run analytical SQL queries, transformations, or stored procedures and return results or status.
Provision new tables, alter column definitions, or update clustering keys and data retention policies.
Sync Kafka event streams with Snowflake in minutes. Redbird handles schema mapping, transformations, and ongoing maintenance so your team can focus on analytics instead of pipeline engineering.