SuiteCRM → Amazon S3 Data Lake
AI-first ETL from SuiteCRM into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads SuiteCRM into Amazon S3 Data Lake
Datrise syncs SuiteCRM's open-source CRM entities, custom modules, and configurable workflows 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
SuiteCRM: Open-source CRM for customizable sales and customer operations.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How SuiteCRM entities map to Amazon S3 Data Lake
| SuiteCRM entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| open-source CRM entities | suitecrm_open_source_crm_entities | id PK · custom fields → nested struct/map fields in Parquet |
| custom modules | suitecrm_custom_modules | id PK · linked to suitecrm_open_source_crm_entities |
| configurable workflows | suitecrm_configurable_workflows | id PK · linked to suitecrm_open_source_crm_entities |
FAQ
How does Datrise handle SuiteCRM'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 SuiteCRM 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.
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Early access
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