Redbird AI automates the flow between your enterprise data warehouse and real-time event streams. Stop manually building ingestion pipelines, writing custom connectors, or scheduling batch jobs to sync analytical insights back to operational systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically ingest high-throughput event streams from Kafka topics into Azure Synapse dedicated SQL pools. Redbird handles schema mapping, data type conversion, and batching—no custom Spark jobs or ADF pipelines required. Keep your warehouse continuously updated with clickstream, IoT, and application events.
Push aggregated metrics, ML model scores, and analytical outputs from Synapse back into Kafka topics. Enable real-time applications and microservices to consume warehouse insights without database queries. Automatically trigger publishes when Synapse pipeline runs complete or tables update.
Lookup customer segments, product hierarchies, or reference data from Synapse and append to Kafka messages in flight. Redbird queries your warehouse and enriches event payloads automatically, eliminating the need for stream processors to make database calls. Maintain low-latency streaming while adding analytical context.
Continuously capture Kafka messages into Azure Synapse for compliance, auditing, and historical trend analysis. Redbird manages partitioning, deduplication, and incremental loads—preserving message ordering and metadata. Query years of event history alongside your enterprise data without impacting Kafka retention policies.
Publish alerts to Kafka topics when Synapse queries identify data quality issues, metric thresholds, or analytical anomalies. Enable event-driven responses across your microservices architecture based on warehouse insights. Redbird monitors your analytical workloads and publishes structured alert events automatically.
Automatically publish dimension table changes from Synapse to Kafka topics as change-data-capture events. Keep distributed caches, search indexes, and application databases synchronized with your authoritative warehouse data. Redbird detects Synapse table updates and streams them as Kafka events in real time.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Synapse 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 AI understands both Azure Synapse's SQL pools and external tables alongside Kafka's topics, partitions, and message schemas—connecting analytical and streaming workloads without custom code.
Redbird automatically maps between Azure Synapse column types and Kafka message schemas—handling JSON, Avro, and Protobuf formats without manual configuration. It recognizes Synapse partitioning schemes, dedicated SQL pool structures, and Spark table formats, then intelligently batches Kafka messages for optimal warehouse ingestion. When flowing data back to Kafka, Redbird converts Synapse result sets into properly formatted events with appropriate partitioning keys and headers.
faster than building custom Kafka connectors and Synapse ingestion pipelines
Redbird can pull from Azure Synapse 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 Synapse 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 Synapse into Kafka, or from Kafka back into Azure Synapse. 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 event in Azure Synapse or Kafka—from pipeline completions to incoming messages—and take action across both systems.
Trigger when a dedicated SQL pool pipeline finishes running, fails, or reaches a specific stage.
Detect when specific Azure Synapse tables are updated, inserted into, or exceed row count thresholds.
Run scheduled SQL queries and trigger when results meet specified criteria or anomalies are detected.
Insert, update, or merge data into Azure Synapse tables with automatic schema mapping and batching.
Run Synapse stored procedures with dynamic parameters from Kafka message payloads or other triggers.
Start Azure Synapse pipelines programmatically and pass runtime parameters from upstream events.
Trigger when messages arrive on specific Kafka topics, optionally filtered by partition or header values.
Detect Kafka messages where payload content, keys, or headers match specified conditions or regex patterns.
Monitor Kafka consumer groups and trigger when lag exceeds thresholds or partitions fall behind.
Send messages to Kafka topics with automatic serialization, partition key assignment, and header mapping.
Publish multiple events to Kafka in a single transaction with guaranteed ordering and delivery.
Manage Kafka topic configurations including partition count, retention policies, and replication settings.
Connect Azure Synapse and Kafka in minutes. Redbird AI handles the complexity of streaming data between your warehouse and event platform—no custom connectors or pipeline code required.