Data engineers building real-time ingestion pipelines into Iceberg lakehouses, and platform teams evaluating AIStor Tables as a unified destination for both structured streaming data and unstructured object storage.
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AIStor Tables stores 9.2 million flight state records ingested over approximately 24-28 hours in just 30 GB using Parquet with Snappy compression, and the Iceberg catalog, metadata, and warehouse are all created and managed automatically with a single MC table warehouse create command.
Kafka decouples the Open Sky producer from the AIStor Tables consumer, meaning either side can go offline independently without losing data, a critical architectural requirement for any pipeline where source availability and destination maintenance windows do not align.
Any query engine that speaks Iceberg, including Trino, PySpark, or others, connects directly to AIStor Tables via the standard REST catalog, with no MinIO-specific libraries or configuration required beyond standard S3 credentials.
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