DatriseAI-first ETL

ConfigCat to Amazon DynamoDB Integration

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

How Datrise loads ConfigCat into Amazon DynamoDB

Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules 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

ConfigCat: Feature flag and remote configuration service.

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

How ConfigCat entities map to Amazon DynamoDB

ConfigCat entityAmazon DynamoDB objectNotes
feature flagsconfigcat_feature_flagsid PK · custom fields → nested map/list attributes
settingsconfigcat_settingsid PK · linked to configcat_feature_flags
environmentsconfigcat_environmentsid PK · linked to configcat_feature_flags
config valuesconfigcat_config_valuesid PK · linked to configcat_feature_flags

FAQ

How does Datrise handle ConfigCat'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 ConfigCat 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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