Automate the flow of behavioral data between your data lake and product analytics platform. Stop manually exporting event files, transforming schemas, and syncing user cohorts—Redbird handles the pipeline so your product and data teams stay aligned.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically detect new event files in your S3 buckets, validate schema structure, and load behavioral events into Amplitude. Transform raw JSON or CSV logs into properly formatted Amplitude events without manual ETL work.
Sync high-value user segments and behavioral cohorts from Amplitude to S3 as structured files. Enable data science teams to build predictive models or feed cohorts into warehouse-based activation workflows.
Automatically export raw event streams from Amplitude to S3 on a schedule for compliance and historical analysis. Maintain complete event history beyond Amplitude's retention window while optimizing analytics costs.
Match incoming event files against Amplitude user profiles to append behavioral context and historical properties. Create unified event streams that combine real-time logs with product analytics dimensions.
Monitor S3 ingestion pipelines and detect schema mismatches, missing required fields, or data quality issues before they break Amplitude dashboards. Get Slack or email notifications with specific validation errors and file locations.
Automatically query Amplitude APIs for conversion metrics, retention cohorts, and experiment results, then write formatted reports to S3. Create a centralized analytics repository that feeds executive dashboards and data warehouse tables.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Amplitude 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 S3 object structures and Amplitude's event taxonomy, so you can connect behavioral analytics to your data lake without building custom ETL pipelines.
Redbird reads your S3 file structures—whether Parquet, JSON, or CSV—and maps them to Amplitude's event format with user IDs, event properties, and timestamps. It detects schema changes in your data lake exports and adjusts Amplitude ingestion automatically. When exporting from Amplitude, Redbird structures cohort files and event streams in formats optimized for your downstream warehouse or ML pipelines, handling nested properties and array fields without custom transformation code.
faster than building S3-to-Amplitude ETL with Glue jobs and Lambda functions
Redbird can pull from Amazon S3 and Amplitude 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 Amazon S3 or Amplitude.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amazon S3 into Amplitude, or from Amplitude back into Amazon S3. 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 any S3 bucket event or Amplitude user behavior, then take action across your entire analytics and data infrastructure.
Trigger when event logs, user data exports, or any file is added to a specific S3 bucket or prefix.
Detect when existing data files are updated or overwritten in S3, triggering re-ingestion or validation workflows.
Run on a time-based schedule to check for new or modified files matching specific patterns in your data lake.
Write processed event data, cohort exports, or analysis results to S3 with custom file naming and partitioning.
Copy Amplitude raw data or transformed analytics outputs to S3 for archival and disaster recovery.
Clean up processed event files or move historical data to Glacier after successful Amplitude ingestion.
Trigger when users meet behavioral criteria and are added to specific Amplitude cohorts or segments.
Detect unusual spikes or drops in event volume by source, triggering data quality investigations.
Run on a daily or weekly schedule to extract updated user segments and behavioral cohorts from Amplitude.
Ingest behavioral events from S3 files into Amplitude with proper user identification and event properties.
Enrich Amplitude user profiles with attributes from S3 data sources like CRM exports or data warehouse outputs.
Build Amplitude cohorts programmatically based on user lists or model scores stored in S3.
Stop building custom pipelines between your data lake and product analytics. Connect Amazon S3 and Amplitude with Redbird and automate event ingestion, cohort syncing, and behavioral data workflows in minutes.