Alpha Vantage to Amazon S3 Data Lake Integration
AI-first ETL from Alpha Vantage into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Alpha Vantage into Amazon S3 Data Lake
Datrise syncs Alpha Vantage's time series quotes, symbols, technical indicators, fundamentals, and FX rates into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.
Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.
Endpoints
Alpha Vantage: Market data API for equities, FX, and indicators.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Alpha Vantage entities map to Amazon S3 Data Lake
| Alpha Vantage entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| time series quotes | alpha_vantage_time_series_quotes | id PK · custom fields → nested struct/map fields in Parquet |
| symbols | alpha_vantage_symbols | id PK · linked to alpha_vantage_time_series_quotes |
| technical indicators | alpha_vantage_technical_indicators | id PK · linked to alpha_vantage_time_series_quotes |
| fundamentals | alpha_vantage_fundamentals | id PK · linked to alpha_vantage_time_series_quotes |
FAQ
How does Datrise handle Alpha Vantage's custom fields in Amazon S3 Data Lake?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.
How does the Alpha Vantage to Amazon S3 Data Lake sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.
Related pipelines
More destinations for Alpha Vantage
- Alpha Vantage → Azure Data Lake Storage
- Alpha Vantage → Azure Synapse
- Alpha Vantage → Spreadsheets
- Alpha Vantage → Airtable
- Alpha Vantage → CSV Files
- Alpha Vantage → MongoDB
- Alpha Vantage → Supabase
- Alpha Vantage → Neon
- Alpha Vantage → PlanetScale
- Alpha Vantage → Amazon DynamoDB
- Alpha Vantage → Looker
- Alpha Vantage → Looker Studio
More sources for Amazon S3 Data Lake
- Amazon Ads → Amazon S3 Data Lake
- Amazon RDS → Amazon S3 Data Lake
- Amazon Seller Partner → Amazon S3 Data Lake
- Apache Spark → Amazon S3 Data Lake
- Apify → Amazon S3 Data Lake
- Appfollow → Amazon S3 Data Lake
- Apple Search Ads → Amazon S3 Data Lake
- Ashby → Amazon S3 Data Lake
- Autopilot → Amazon S3 Data Lake
- AWS CloudTrail → Amazon S3 Data Lake
- Azure Table Storage → Amazon S3 Data Lake
- Azure Blob Storage → Amazon S3 Data Lake
Early access
Connect Alpha Vantage to Amazon S3 Data Lake the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.