Redbird AI automates the flow between your event streams and relational database. Stop writing custom consumers, managing offset commits, and building batch jobs to land Kafka data in PostgreSQL—Redbird handles schema evolution, transformations, and reliable persistence automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Consume messages from Kafka topics and insert them into PostgreSQL tables in real time. Redbird automatically maps event schemas to table columns, handles data type conversions, and manages consumer offsets so your operational database stays current with every event.
Capture inserts, updates, and deletes from PostgreSQL tables and publish them as events to Kafka topics. Enable downstream services to react to database changes without polling or tight coupling, supporting event sourcing and CQRS patterns.
Process high-volume Kafka streams and write aggregated metrics, rollups, and time-windowed summaries into PostgreSQL. Transform raw clickstream or sensor data into queryable analytics tables without building Kafka Streams applications or Flink jobs.
Read events from Kafka, lookup related records in PostgreSQL tables, and write enriched messages back to a target Kafka topic. Add customer profiles, product details, or geolocation data to raw events without maintaining complex join logic in stream processors.
Automatically consume and store Kafka message history in time-partitioned PostgreSQL tables for audit trails and regulatory compliance. Redbird manages partition creation, data retention policies, and efficient bulk loading without custom archival scripts.
Monitor PostgreSQL tables for threshold breaches, status changes, or anomalies and publish structured events to Kafka topics. Enable real-time alerting and downstream workflows when critical business conditions occur in your operational database.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Kafka and PostgreSQL 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 both Kafka message schemas and PostgreSQL table structures, automatically handling serialization formats, data types, and schema evolution across your streaming and relational layers.
Redbird parses Avro, JSON, and Protobuf message formats from Kafka and intelligently maps them to PostgreSQL column types and constraints. It detects schema changes in your Kafka topics and adapts table structures accordingly, handles nested JSON fields with PostgreSQL's JSONB support, and optimizes bulk inserts with COPY operations. When moving data from PostgreSQL to Kafka, Redbird automatically serializes table rows into properly formatted messages with schema registry integration.
faster than building custom Kafka consumers and database writers
Redbird can pull from Kafka and PostgreSQL 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 PostgreSQL.
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 PostgreSQL, or from PostgreSQL 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 automations from new Kafka messages or PostgreSQL table changes and take action across both platforms.
Fires when a new message arrives in a specified Kafka topic or partition.
Triggers when consumer group lag crosses a defined threshold for monitoring.
Activates when message content meets specific field values or patterns.
Write a new event to a Kafka topic with specified key and value.
Provision a new Kafka topic with defined partition count and replication factor.
Manually set or reset consumer group offsets for replay or skip scenarios.
Fires when a new record is added to a specified PostgreSQL table.
Triggers when existing rows are modified and meet defined filter criteria.
Runs a SQL query on a schedule and triggers when results are returned.
Add new records to a PostgreSQL table with specified column values.
Insert or update rows using ON CONFLICT clauses for idempotent writes.
Run parameterized SQL statements for complex updates or stored procedures.
Sync Kafka event streams with PostgreSQL in minutes. Redbird handles the complexity of streaming data pipelines, schema management, and reliable persistence so you can focus on building products instead of infrastructure.