DatriseAI-first ETL

Persistiq to Amazon DynamoDB Integration

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

How Datrise loads Persistiq into Amazon DynamoDB

Datrise syncs Persistiq's prospects, campaigns, sequences, email events, users, and dispositions 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

Persistiq: Outbound sales sequences and prospect tracking.

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

How Persistiq entities map to Amazon DynamoDB

Persistiq entityAmazon DynamoDB objectNotes
prospectspersistiq_prospectsid PK · custom fields → nested map/list attributes
campaignspersistiq_campaignsid PK · linked to persistiq_prospects
sequencespersistiq_sequencesid PK · linked to persistiq_prospects
email eventspersistiq_email_eventsISO-8601 string or epoch number attributes events

FAQ

How does Datrise handle Persistiq'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 Persistiq 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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