Redbird AI syncs Kafka event streams with MySQL databases automatically. Stop writing custom consumers to persist events, manually building ETL pipelines, or losing data in fragile scripts. Stream events directly into structured tables with intelligent schema mapping.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically consume Kafka topics and persist messages to MySQL tables. Redbird maps event schemas to table columns, handles type conversions, and manages upserts based on message keys. No consumer code or Kafka Connect configuration required.
Monitor MySQL binlog changes and publish inserts, updates, and deletes to Kafka topics in real-time. Enable event-driven architectures by broadcasting database changes to microservices, analytics platforms, and cache invalidation systems.
Consume clickstream, sensor, or log events from Kafka and batch-write to time-partitioned MySQL tables. Redbird handles batching, deduplication, and partition management automatically, making event data queryable for operational dashboards and analytics.
Query MySQL for customer profiles, product catalogs, or configuration data and inject into Kafka messages as they flow through topics. Redbird caches frequently accessed records and handles lookup failures gracefully to maintain stream throughput.
Monitor MySQL tables for critical transactions and publish alerts to Kafka topics when thresholds are exceeded. Route notifications to downstream alerting systems, trigger automated workflows, or fan out to multiple consumer groups based on event severity.
Consume windowed aggregates, session data, or computed metrics from Kafka and write to MySQL reporting tables. Enable BI tools and operational dashboards to query real-time metrics without direct Kafka access or complex stream processing code.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Kafka and MySQL 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 message schemas, topic partitioning, and consumer offsets alongside MySQL table structures, indexes, and transaction patterns to automate the entire streaming-to-relational pipeline.
Redbird automatically analyzes Kafka message schemas (Avro, JSON, Protobuf) and maps them to MySQL table definitions, handling nested objects, arrays, and type conversions. The AI generates idempotent upsert logic based on message keys, manages offset commits for exactly-once semantics, and optimizes batch sizes based on table indexes. For reverse flows, Redbird interprets binlog events and structures them as Kafka messages with proper partitioning keys.
faster than building Kafka Connect pipelines with custom converters
Redbird can pull from Kafka and MySQL 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 MySQL.
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 MySQL, or from MySQL 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 topic event or MySQL table change and automate data flows across your entire streaming and transactional infrastructure.
Trigger when a new message is published to a specified Kafka topic or partition.
Trigger when consumer group lag for a topic exceeds a defined message count or time threshold.
Trigger when a new schema version is registered for a topic in the schema registry.
Write a message to a Kafka topic with specified key, value, headers, and partition routing.
Create a new Kafka topic or update configuration like partitions, retention, and compaction settings.
Rewind or fast-forward consumer group offsets to replay messages or skip to latest position.
Trigger when a new record is inserted into a specified MySQL table.
Trigger when existing rows are updated and match specified column value conditions.
Trigger when a custom SQL query returns results exceeding defined row count or aggregate thresholds.
Upsert records into MySQL tables using INSERT ON DUPLICATE KEY UPDATE or REPLACE logic.
Call a MySQL stored procedure with parameters and handle result sets or output values.
Batch-insert multiple rows into a table using optimized bulk loading for high-throughput writes.
Stop building fragile Kafka consumers and custom ETL scripts. Redbird connects Kafka event streams to MySQL databases with intelligent automation that understands both systems.