CoinGecko to Azure Synapse Integration
AI-first ETL from CoinGecko into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinGecko into Azure Synapse
Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
CoinGecko: Cryptocurrency prices and market data.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How CoinGecko entities map to Azure Synapse
| CoinGecko entity | Azure Synapse object | Notes |
|---|---|---|
| coins | coingecko_coins_coins | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| market prices | coingecko_coins_market_prices | id PK · linked to coingecko_coins_coins |
| market caps | coingecko_coins_market_caps | id PK · linked to coingecko_coins_coins |
| trading volumes | coingecko_coins_trading_volumes | id PK · linked to coingecko_coins_coins |
FAQ
How does Datrise handle CoinGecko's custom fields in Azure Synapse?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.
How does the CoinGecko to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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Early access
Connect CoinGecko to Azure Synapse the easy way
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