Stop manually extracting Kafka events into SQL Server tables or writing fragile consumer scripts that break with schema changes. Redbird AI connects your event streams to your enterprise database with intelligent automation that adapts to both systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically consume messages from Kafka topics and insert them into normalized SQL Server tables with proper data typing and constraints. Redbird handles schema evolution, batching for optimal throughput, and error handling for malformed events. Keep your OLTP systems in sync with real-time event data.
Capture INSERT, UPDATE, and DELETE operations from SQL Server tables using change data capture and publish them as events to Kafka topics. Enable event-driven architectures by making your database changes available to microservices, analytics platforms, and monitoring systems. Redbird formats messages with full before/after state for downstream consumers.
Consume user activity events, transaction logs, and sensor data from Kafka and store them in partitioned SQL Server archive tables with automatic retention policies. Redbird compresses and batches events for storage efficiency while maintaining queryability for compliance reporting and forensic analysis.
Monitor SQL Server business logic execution and publish alerts to Kafka topics when stored procedures flag exceptions, threshold breaches, or data quality issues. Route critical events to the right consumers based on severity, enabling real-time response across your event-driven ecosystem without polling databases.
Join incoming device telemetry and sensor events from Kafka with product catalogs, asset hierarchies, and configuration tables in SQL Server before persisting. Redbird performs efficient lookups against dimension tables to add contextual attributes, then writes fully enriched records back to SQL Server fact tables for analytics.
Publish order entries, inventory movements, and financial transactions from SQL Server OLTP systems to Kafka streams that feed real-time dashboards and monitoring tools. Redbird incrementally captures new and changed records, maintaining event order and transactional consistency while enabling sub-second latency for operational analytics.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Kafka and SQL Server 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 Kafka message schemas and SQL Server table structures, automatically mapping between event payloads and relational columns without manual configuration.
Redbird's AI reads your Kafka topic schemas (Avro, JSON, Protobuf) and SQL Server table definitions to intelligently map fields, handle type conversions, and manage schema evolution. It recognizes surrogate keys, foreign key relationships, and computed columns in SQL Server while understanding partition keys, message timestamps, and nested structures in Kafka. When schemas change on either side, Redbird adapts mappings automatically and alerts you to breaking changes. The platform optimizes batch sizes for SQL Server bulk inserts while respecting Kafka consumer group semantics and offset management.
faster than building custom Kafka consumers with JDBC connectors
Redbird can pull from Kafka and SQL Server 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 SQL Server.
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 SQL Server, or from SQL Server 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 SQL Server database change and orchestrate actions across both systems.
Trigger when a new event is published to a specified Kafka topic or topic pattern.
Monitor for messages matching a particular partition key or key pattern in a topic.
Detect when your consumer group falls behind by a specified number of messages or time window.
Send a new event to a Kafka topic with specified key, value, headers, and partition.
Provision a new Kafka topic with specified partition count, replication factor, and retention policies.
Manually adjust consumer group offsets to replay events or skip forward in a topic.
Trigger when a record is added to a specified SQL Server table or view.
Detect when existing records are modified and meet specific WHERE clause criteria.
Monitor for successful or failed execution of a specific SQL Server stored procedure.
Write new records to a SQL Server table with proper data type handling and constraint validation.
Call a SQL Server stored procedure with parameters and capture output values or result sets.
Merge data into SQL Server using MERGE statements, updating existing rows or inserting new ones.
Join teams using Redbird AI to sync Kafka event streams with SQL Server databases without writing consumer code or managing connectors. Get your integration running in minutes, not weeks.