DatriseAI-first ETL

Azure Table Storage to Amazon Athena Integration

AI-first ETL from Azure Table Storage into Amazon Athena. Governed entities, incremental sync, typed landing tables.

How Datrise loads Azure Table Storage into Amazon Athena

Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

Azure Table Storage: Key-value NoSQL store on Azure.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Azure Table Storage entities map to Amazon Athena

Azure Table Storage entityAmazon Athena objectNotes
tablesazure_table_storage_tablesid PK · custom fields → struct/map columns in Parquet
entitiesazure_table_storage_entitiesid PK · linked to azure_table_storage_tables
partition keysazure_table_storage_partition_keysid PK · linked to azure_table_storage_tables
row keysazure_table_storage_row_keysid PK · linked to azure_table_storage_tables

FAQ

How does Datrise handle Azure Table Storage's custom fields in Amazon Athena?

Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.

How does the Azure Table Storage to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

Related pipelines

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