Redbird AI automates data movement between your GCP object storage and enterprise database. Stop writing ETL scripts to load Cloud Storage files into SQL Server tables, or manually exporting database snapshots to GCS buckets for archival and analytics.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new data files land in Cloud Storage buckets, Redbird detects schema changes, maps columns, and loads records into the appropriate SQL Server staging tables. Eliminates manual file monitoring and custom SSIS packages for every new data source.
Schedule incremental exports of SQL Server tables to Cloud Storage in Parquet format, partitioned by date. Feeds your GCP data lake with enterprise transactional data for advanced analytics, eliminating brittle export scripts and manual file transfers.
Parse and normalize application logs stored in Cloud Storage, then insert structured log events into SQL Server tables. Enables your security team to query logs alongside operational data using familiar SQL tools and dashboards.
Automate nightly database backups to Cloud Storage buckets with automatic transition to Coldline and Archive storage classes. Maintains compliant retention without maintaining on-premises backup infrastructure or manual intervention.
When vendors drop files in shared GCS buckets, Redbird validates data quality, transforms to your schema standards, and loads into SQL Server. Alerts teams immediately when files fail validation or schema mismatches are detected.
Automatically extract dimension and fact tables from SQL Server to Cloud Storage in formats optimized for both Power BI cloud refresh and GCP analytics tools. Single export serves multiple downstream systems without duplication.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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 GCS bucket structures and SQL Server table schemas, automatically mapping data types and handling format conversions between object storage and relational databases.
Redbird's AI interprets GCS object metadata, file formats (CSV, JSON, Parquet, Avro), and directory structures, then maps them to SQL Server data types, constraints, and indexing strategies. It handles character encoding differences, date format conversions, and null handling between cloud storage files and database tables. When schemas evolve, Redbird detects changes and adjusts mappings without breaking pipelines.
faster than building custom ETL with SSIS, Python scripts, and manual monitoring
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into SQL Server, or from SQL Server back into Google Cloud Storage. 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 file uploads in Cloud Storage or data changes in SQL Server — Redbird handles the rest.
Triggers when a new object is uploaded to a specified GCS bucket or prefix path.
Fires when an existing object in Cloud Storage is modified or replaced.
Periodically checks GCS buckets for new or changed files matching specified patterns.
Writes files or query results to Cloud Storage in specified formats and paths.
Moves objects to different storage classes or removes them based on conditions.
Retrieves metadata for objects matching specific prefixes, dates, or size criteria.
Detects when records are added to specified SQL Server tables or views.
Fires when existing records in tracked tables are modified.
Runs SQL queries on a schedule and triggers on result sets or threshold conditions.
Adds new rows to tables or updates existing records based on primary key matches.
Runs parameterized stored procedures with data from Cloud Storage or other sources.
Clears staging tables and performs full refresh loads from source data.
Stop building and maintaining custom ETL between Google Cloud Storage and SQL Server. Let Redbird AI handle the data movement, transformations, and monitoring so your team can focus on insights instead of pipelines.