Connect Google Cloud Storage and
Snowflake with AI

Automate the flow of data from your GCP data lake into Snowflake for analytics. Stop writing custom ingestion scripts, manually mapping schemas, or babysitting file-based ETL jobs. Redbird syncs your cloud storage buckets with your data warehouse automatically.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Auto-load new GCS files into Snowflake tables on arrival

When new data files land in Cloud Storage buckets, Redbird detects the schema, maps columns to your Snowflake tables, and loads the data automatically. No manual COPY commands or external stage configuration required.

Archive completed Snowflake queries and results to GCS buckets

Automatically export query results, materialized views, or scheduled report outputs from Snowflake to designated Cloud Storage buckets. Maintain cost-effective long-term storage with GCS lifecycle policies while keeping your warehouse lean.

Sync partitioned data lake files into time-series Snowflake tables

Ingest date-partitioned or hive-style partitioned files from GCS into corresponding Snowflake tables with proper schema evolution. Redbird handles partition detection, incremental loading, and deduplication automatically.

Export Snowflake data shares to GCS for external partner distribution

Convert Snowflake secure data shares into file-based exports stored in Cloud Storage. Enable partners without Snowflake access to receive structured data exports on a schedule or trigger.

Load machine learning training data from GCS into Snowflake feature stores

Automatically ingest ML training datasets, feature engineering outputs, or model predictions stored in Cloud Storage into Snowflake tables for centralized feature store management and model monitoring.

Capture and warehouse application logs from GCS for analytics

Ingest structured or semi-structured log files from Cloud Storage into Snowflake tables for centralized log analytics. Redbird handles JSON/AVRO/Parquet parsing and schema extraction without custom transformation code.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Google Cloud Storage and Snowflake with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands both GCS object metadata and Snowflake table schemas, automatically bridging the gap between cloud storage and your data warehouse.

AI that reads your data lake and warehouse structure

Redbird analyzes your Cloud Storage bucket organization, file formats, and naming conventions alongside your Snowflake database schemas and table structures. It automatically infers column mappings, handles data type conversions between GCS file formats and Snowflake types, and manages incremental loading strategies. When schemas evolve in either system, Redbird detects changes and adapts pipelines without breaking existing workflows.

Parquet & AVRO detection
Schema drift handling
Partition-aware loading
Stage management
10×

faster than building custom COPY INTO pipelines with external stages

No SQL scripting, external stage configuration, or file format definition required

Auto-generated reports

Redbird can pull from Google Cloud Storage and Snowflake simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Google Cloud Storage or Snowflake.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Google Cloud Storage into Snowflake, or from Snowflake back into Google Cloud Storage. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automation from any file event in Cloud Storage or any data change in Snowflake.

Google Cloud Storage
Triggers & Actions
Trigger

New file added to bucket

Triggers when a new object is created in a specified GCS bucket or path prefix.

Trigger

File updated or overwritten

Triggers when an existing object in Cloud Storage is modified or replaced.

Trigger

Bucket lifecycle policy executed

Triggers when GCS moves or archives objects based on lifecycle rules.

Action

Upload file to bucket

Writes data or files to a specified Cloud Storage bucket and path.

Action

Create or update object metadata

Sets custom metadata tags on GCS objects for classification or tracking.

Action

Move object between buckets

Copies objects to a new location and optionally deletes the original.

Snowflake
Triggers & Actions
Trigger

New rows inserted into table

Triggers when data is added to a specified Snowflake table or view.

Trigger

Query execution completed

Triggers when a scheduled or on-demand query finishes running in Snowflake.

Trigger

Table schema changed

Triggers when columns are added, removed, or modified in a Snowflake table.

Action

Load data into table

Inserts or merges data into specified Snowflake tables with deduplication.

Action

Execute SQL query

Runs custom SQL queries or stored procedures in your Snowflake warehouse.

Action

Create or update data share

Manages Snowflake secure data shares with external accounts or regions.

Google Cloud Storage
+
Snowflake

Ready to connect your stack?

Stop building and maintaining custom data pipelines between Google Cloud Storage and Snowflake. Let Redbird handle ingestion, schema mapping, and ongoing synchronization automatically.

Get started → Book a demo