Stream database changes from Azure SQL to Kafka in real time without building custom change data capture pipelines or maintaining brittle connector infrastructure. Redbird AI automates the flow between your operational database and event streaming platform so your team can focus on building event-driven systems, not plumbing.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture inserts, updates, and deletes from Azure SQL tables and publish them as events to Kafka topics. Enable downstream consumers to react to database changes instantly without polling or impacting production query performance.
Transform row-level changes in Azure SQL into domain events published to Kafka. Power microservices, real-time analytics, and audit trails without coupling services directly to your database schema.
Push complete table snapshots or incremental changes from Azure SQL to Kafka topics for consumption by stream processing frameworks. Enable real-time analytics on operational data without adding load to production databases.
Consume events from Kafka topics and persist them in Azure SQL tables with proper schema mapping and transaction handling. Enable SQL-based reporting and analysis on streaming data without writing custom consumer logic.
Process high-volume event streams in Kafka and write computed results to Azure SQL tables for operational dashboards and applications. Bridge real-time processing with traditional SQL-based reporting workflows.
Automatically persist critical events from Kafka topics into structured Azure SQL tables for long-term retention, compliance, and audit requirements. Maintain queryable historical records while keeping Kafka topics lean.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure SQL 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 both Azure SQL schemas and Kafka topic structures, automatically handling serialization, partitioning, and change data capture patterns without manual connector configuration.
Redbird maps Azure SQL column types, foreign keys, and constraints to appropriate Kafka serialization formats (Avro, JSON, Protobuf). It automatically detects primary keys for idempotent event publishing, handles schema evolution between SQL DDL changes and Kafka Schema Registry, and manages transactional boundaries for exactly-once semantics. No need to manually configure Debezium, write custom serializers, or maintain offset tracking logic.
faster than building custom CDC pipelines with Debezium and Kafka Connect
Redbird can pull from Azure SQL 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 Azure SQL 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 Azure SQL into Kafka, or from Kafka back into Azure SQL. 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 from any database event in Azure SQL or any message pattern in Kafka to build real-time data flows across your stack.
Trigger when a new record is added to any Azure SQL table.
Trigger when specific columns or any field in a table is modified.
Trigger when records are removed from tracked tables.
Write new rows to Azure SQL tables with proper type mapping and constraint handling.
Modify records based on primary key or composite key matches.
Call Azure SQL stored procedures with parameters for complex transactional logic.
Trigger when messages are published to specific Kafka topics or topic patterns.
Trigger when consumer lag exceeds defined thresholds for monitoring and alerting.
Trigger on messages matching key filters or header conditions in topics.
Send events to Kafka topics with configurable partitioning and serialization.
Publish multiple related events in a single batch with transaction support.
Manage Kafka topic configuration including partitions, replication, and retention.
Stop building and maintaining custom change data capture pipelines. Let Redbird AI sync Azure SQL and Kafka so you can focus on building event-driven applications, not infrastructure.