DatriseAI-first ETL

Real Geeks to Amazon DynamoDB Integration

AI-first ETL from Real Geeks into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Real Geeks into Amazon DynamoDB

Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

Real Geeks: Real estate lead generation sites with an integrated CRM.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Real Geeks entities map to Amazon DynamoDB

Real Geeks entityAmazon DynamoDB objectNotes
leadsreal_geeks_leadsid PK · custom fields → nested map/list attributes
contactsreal_geeks_contactsid PK · linked to real_geeks_leads
listingsreal_geeks_listingsid PK · linked to real_geeks_leads
saved searchesreal_geeks_saved_searchesid PK · linked to real_geeks_leads

FAQ

How does Datrise handle Real Geeks's custom fields in Amazon DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the Real Geeks to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

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