Redbird AI syncs your LookML semantic layer with Oracle's transactional data automatically. Stop manually validating schemas, refreshing dashboards with stale data, or writing custom ETL scripts to bridge your BI layer and enterprise database.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When analysts update dimension definitions in LookML, Redbird validates the corresponding Oracle table schemas and flags mismatches. Automatically document schema drift and create alignment tickets so your Looker models stay in sync with source data structures.
Capture slow query patterns and dashboard load times from Looker's system activity. Write performance telemetry to Oracle monitoring tables so DBAs can optimize indexes and partitioning strategies based on actual BI usage patterns.
Monitor real-time transaction rates in Oracle and trigger alerts when volumes exceed thresholds defined in Looker explores. Redbird reads your business logic from LookML and applies it directly to Oracle data streams without duplicating metric definitions.
Calculate CLV and engagement scores in Looker using your centralized semantic layer, then write those enriched attributes back to Oracle customer tables. Keep operational systems updated with analytics-derived insights without building separate pipelines.
When scheduled Looker compliance reports finish running, automatically archive the underlying Oracle audit records to cold storage. Redbird coordinates retention policies between your BI layer and transactional database based on report completion events.
Trigger Looker persistent derived table rebuilds immediately after Oracle completes scheduled materialized view refreshes. Eliminate stale dashboard data by syncing your BI cache layer with source database refresh cycles automatically.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker 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 LookML's semantic layer and Oracle's complex schema structures, table partitioning, and PL/SQL procedures — mapping business logic to database objects intelligently.
Redbird parses your LookML views, explores, and measures to understand how business metrics are defined, then maps them to Oracle table structures, foreign keys, and indexes. It detects when dimension definitions reference columns that have changed datatype or moved schemas in Oracle. The AI validates join paths in LookML against actual Oracle constraint relationships and flags misalignments before they break dashboards.
faster than building custom Looker-to-Oracle sync jobs
Redbird can pull from Looker 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 Looker 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 Looker into Oracle DB, or from Oracle DB back into Looker. 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 Looker dashboard updates, query events, or Oracle table changes, transactions, and procedure executions.
Fires when a new version of your LookML project is pushed to production.
Triggers when Looker finishes generating and sending a scheduled report or dashboard.
Activates when a user query takes longer than a specified duration to return results.
Generate new saved queries or modify existing Looks with updated filters and dimensions.
Trigger PDT rebuild jobs to refresh materialized query results on demand.
Evaluate custom conditions against Looker query results and route notifications.
Fires when new records are added or existing rows are modified in specified Oracle tables.
Activates after Oracle completes a scheduled or manual refresh of an MVIEW.
Triggers when a specific PL/SQL procedure finishes running, with access to output parameters.
Write new records or modify existing data in Oracle tables with ACID transaction support.
Call stored procedures with parameters to run business logic or data transformations.
Trigger Oracle flashback or export utilities to capture point-in-time data states.
Connect Looker and Oracle DB in minutes. Let Redbird handle the schema mapping, validation, and sync logic while your team focuses on building better analytics on trusted data.