Snowplow to Amazon S3 Data Lake Integration
AI-first ETL from Snowplow into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Snowplow into Amazon S3 Data Lake
Datrise syncs Snowplow's events, users, sessions, contexts, page views, and event schemas 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
Snowplow: Behavioral event pipeline with a strict schema.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Snowplow entities map to Amazon S3 Data Lake
| Snowplow entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| events | snowplow_events | ISO-8601 timestamp columns events |
| users | snowplow_users | id PK · linked to snowplow_events |
| sessions | snowplow_sessions | id PK · linked to snowplow_events |
| contexts | snowplow_contexts | id PK · linked to snowplow_events |
FAQ
How does Datrise handle Snowplow'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 Snowplow 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 Snowplow
More sources for Amazon S3 Data Lake
- SonarCloud → Amazon S3 Data Lake
- Amazon DynamoDB → Amazon S3 Data Lake
- SparkPost → Amazon S3 Data Lake
- StackAdapt → Amazon S3 Data Lake
- Statuspage → Amazon S3 Data Lake
- SurveyCTO → Amazon S3 Data Lake
- SurveySparrow → Amazon S3 Data Lake
- Taboola → Amazon S3 Data Lake
- Tempo → Amazon S3 Data Lake
- Teradata → Amazon S3 Data Lake
- The Guardian API → Amazon S3 Data Lake
- TiDB → Amazon S3 Data Lake
Early access
Connect Snowplow to Amazon S3 Data Lake the easy way
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