Redbird AI automates the movement and transformation of data between Google's cloud data warehouse and your enterprise Oracle database. Stop manually exporting transaction data, writing custom ETL scripts, or waiting on engineering to sync operational systems with analytics workflows.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync tables from Oracle DB into BigQuery datasets on a schedule or trigger. Redbird handles schema mapping, type conversions, and incremental loads so your analytics stay current without custom pipeline code.
Push pre-computed metrics, ML predictions, or aggregated reporting tables from BigQuery into Oracle DB tables. Business applications and internal tools can query fast summary data instead of hitting the warehouse directly.
Move aged transaction records, audit logs, or compliance data from Oracle into cost-effective BigQuery storage. Preserve query access through SQL while reducing Oracle licensing and storage costs for infrequently accessed data.
Run churn predictions, lifetime value models, or segmentation in BigQuery, then write scores back to Oracle customer tables. Sales and support applications immediately surface AI-driven insights without touching the data warehouse.
Compare row counts, sums, or key metrics between Oracle tables and their BigQuery replicas. Redbird notifies your team when sync drift is detected so you can maintain data quality across your hybrid stack.
Combine live Oracle transaction data with BigQuery's historical analytics and third-party datasets, then generate consolidated reports. Finance teams get accurate, multi-source reporting without manual SQL across systems.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery 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 understands both Oracle's enterprise relational structures and BigQuery's denormalized, columnar schemas — so you can move data between OLTP and OLAP worlds without losing fidelity.
Redbird's AI maps Oracle's VARCHAR2, NUMBER, and CLOB types to BigQuery's STRING, NUMERIC, and BYTES — handling precision, nullability, and character encoding automatically. It recognizes Oracle's partitioned tables, materialized views, and sequence-driven primary keys, then translates them into BigQuery's clustering, partitioning, and date-sharded table patterns. Whether you're replicating normalized transaction schemas or flattening them for analytics, Redbird preserves referential integrity and optimizes for each platform's query engine.
faster than building Oracle-to-BigQuery ETL pipelines with Dataflow or custom scripts
Redbird can pull from BigQuery 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 BigQuery 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 BigQuery into Oracle DB, or from Oracle DB back into BigQuery. 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 Oracle transactions, BigQuery query completions, or any event across your data stack.
Fires when a scheduled or on-demand BigQuery SQL job finishes running.
Triggers when a BigQuery table exceeds a specified number of rows or daily growth rate.
Activates when a BigQuery ML model completes training and is ready for predictions.
Write new records to a BigQuery table with automatic schema matching and type conversion.
Execute a BigQuery SQL statement with dynamic variables from upstream workflow data.
Add columns, modify descriptions, or adjust partitioning on existing BigQuery tables.
Fires when a transaction, order, or record is added to a monitored Oracle table.
Triggers when a specific field changes in Oracle DB, like order status or customer tier.
Activates after an Oracle PL/SQL procedure completes, signaling business process completion.
Upsert rows into Oracle tables based on primary key, merging new data with existing records.
Run custom DDL or DML commands against Oracle DB with dynamic parameter binding.
Move or truncate Oracle table partitions to manage storage and prepare data for warehouse migration.
Sync BigQuery with Oracle DB in minutes — no pipeline engineering required. Redbird handles schema translation, incremental syncs, and bidirectional workflows so your team can focus on insights, not infrastructure.