Redbird AI connects your event streams to your enterprise database automatically. Stop building custom consumers, managing offset commits, and writing brittle ETL jobs to move streaming data into Oracle tables.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically consume event streams from your Kafka topics and insert or upsert into Oracle DB tables in real-time. Redbird handles schema mapping, batching, and error handling so your transactional system stays current with every event.
Capture database change events from Oracle and publish them to Kafka topics for event-driven architectures. Enable CDC patterns without custom triggers or log mining scripts, keeping microservices in sync with your source of truth.
Route audit logs, clickstream data, and sensor readings from Kafka into Oracle's partitioned tables automatically. Redbird manages partition strategies and retention policies so you meet compliance requirements without custom archival jobs.
Query Oracle DB for customer profiles, product catalogs, or pricing data as events flow through Kafka. Redbird joins streaming data with enterprise master data in real-time, eliminating the need for duplicate reference tables in your stream processing layer.
Publish events to Kafka topics whenever high-value orders process, payment transactions settle, or batch jobs complete in Oracle. Enable real-time alerting and workflow orchestration across your event-driven stack without polling databases.
Consume time-windowed analytics from Kafka streams and write summary reports directly into Oracle reporting tables. Redbird handles stream aggregation, deduplication, and transactional writes so business teams see real-time operational metrics.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Kafka and Oracle DB 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's event schema registry patterns and Oracle's complex table structures, partitioning schemes, and PL/SQL conventions — no manual mapping required.
Redbird automatically discovers your Avro, Protobuf, or JSON schemas in Kafka Schema Registry and matches them to Oracle table definitions. It understands Oracle's data types, constraints, sequences, and triggers, generating the right INSERT, UPSERT, or MERGE logic. When schemas evolve, Redbird detects changes and adapts transformations without breaking pipelines. No more writing custom deserializers or managing type conversions between streaming formats and relational tables.
faster than building custom Kafka Connect pipelines with JDBC sinks
Redbird can pull from Kafka and Oracle DB 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 Oracle DB.
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 Oracle DB, or from Oracle DB 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 Oracle database events, then take action across your entire data stack.
Triggers when a new event is published to a specified Kafka topic or topic pattern.
Triggers when message backlog for a consumer group exceeds a defined lag limit.
Triggers when a schema version is registered or updated in Kafka Schema Registry.
Writes a new event to a Kafka topic with specified key, value, and headers.
Creates a new Kafka topic or updates partition count and retention configuration.
Registers a new Avro, Protobuf, or JSON schema version in Schema Registry.
Triggers when a new record is inserted into a specified Oracle table or view.
Triggers when existing rows are updated and meet specific WHERE clause criteria.
Triggers on a schedule when a SQL query returns rows or meets threshold conditions.
Inserts new records or updates existing rows using MERGE logic based on primary keys.
Runs a custom SQL query, stored procedure, or PL/SQL block with parameters.
Loads large datasets into Oracle tables using SQL*Loader or external table patterns.
Stop maintaining custom Kafka consumers and database ETL scripts. Redbird AI connects Kafka and Oracle DB so you can focus on building features, not data plumbing.