DatriseAI-first ETL

CoinAPI to Amazon DynamoDB Integration

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

How Datrise loads CoinAPI into Amazon DynamoDB

Datrise syncs CoinAPI's exchange rates, symbols, trades, order book snapshots, OHLCV bars, and exchanges 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

CoinAPI: Consolidated crypto market data API.

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

How CoinAPI entities map to Amazon DynamoDB

CoinAPI entityAmazon DynamoDB objectNotes
exchange ratescoin_api_exchange_ratesISO-8601 string or epoch number attributes events
symbolscoin_api_symbolsid PK · linked to coin_api_exchange_rates
tradescoin_api_tradesid PK · linked to coin_api_exchange_rates
order book snapshotscoin_api_order_book_snapshotsid PK · linked to coin_api_exchange_rates

FAQ

How does Datrise handle CoinAPI'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 CoinAPI 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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