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AirMettle Select
por AirMettle, Inc.
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Run SQL directly on your data in Azure Blob Storage — no ETL, no ingestion, no clusters to manage.
AirMettle Select lets you run standard SQL against objects sitting in your own Azure Blob Storage — no ingestion, no ETL pipelines, no database or Spark cluster to stand up, and no copies of your data. Point Select at a blob and get back the rows and columns you asked for, streamed over HTTPS as they are produced.
Key Benefits
• Query data where it lives — zero ingestion, zero duplication, zero pipeline maintenance. Your data stays in your storage account.
• Massive parallelism, even on a single object , including inside gzip-compressed objects, something conventional query engines cannot do.
• Pay for what you scan — usage-based metering tied to data actually processed, not idle infrastructure.
• Enterprise-grade tenancy and security — clients authenticate with an API key; your storage credentials are held by the service and never distributed to query clients.
Key Capabilities
• Rich analytical SQL over objects: projections, filters, aggregates (COUNT, SUM, AVG, MIN, MAX, STDDEV), GROUP BY, HAVING, ORDER BY, LIMIT, CASE, LIKE and regular expressions, date/time functions, and path navigation into nested JSON documents.
• Broad format support: CSV, JSON (documents and lines), gzip-compressed CSV/JSON, and Parquet.
• Streaming results: rows stream back over HTTP/2 as they are produced, so large result sets start arriving immediately.
• Simple integration: the Python CLI, or direct REST calls.
Ideal For
• Log, telemetry, and event archives — filter and aggregate cold data in object storage on demand, without building a pipeline first.
• Data-lake exploration — profile, filter, and reduce raw objects before anything is loaded into a warehouse.
• Compliance, audit, and forensics — extract the handful of records you need from terabytes of archives without downloading them.
• Application builders — embed targeted queries over stored objects behind a single REST call, instead of operating query infrastructure of your own.
AirMettle Select turns Azure Blob Storage into a queryable, pay-per-scan analytical surface with minimal friction. Subscribe, link a storage account, prepare your blobs, and run your first query in minutes.
Key Benefits
• Query data where it lives — zero ingestion, zero duplication, zero pipeline maintenance. Your data stays in your storage account.
• Massive parallelism, even on a single object , including inside gzip-compressed objects, something conventional query engines cannot do.
• Pay for what you scan — usage-based metering tied to data actually processed, not idle infrastructure.
• Enterprise-grade tenancy and security — clients authenticate with an API key; your storage credentials are held by the service and never distributed to query clients.
Key Capabilities
• Rich analytical SQL over objects: projections, filters, aggregates (COUNT, SUM, AVG, MIN, MAX, STDDEV), GROUP BY, HAVING, ORDER BY, LIMIT, CASE, LIKE and regular expressions, date/time functions, and path navigation into nested JSON documents.
• Broad format support: CSV, JSON (documents and lines), gzip-compressed CSV/JSON, and Parquet.
• Streaming results: rows stream back over HTTP/2 as they are produced, so large result sets start arriving immediately.
• Simple integration: the Python CLI, or direct REST calls.
Ideal For
• Log, telemetry, and event archives — filter and aggregate cold data in object storage on demand, without building a pipeline first.
• Data-lake exploration — profile, filter, and reduce raw objects before anything is loaded into a warehouse.
• Compliance, audit, and forensics — extract the handful of records you need from terabytes of archives without downloading them.
• Application builders — embed targeted queries over stored objects behind a single REST call, instead of operating query infrastructure of your own.
AirMettle Select turns Azure Blob Storage into a queryable, pay-per-scan analytical surface with minimal friction. Subscribe, link a storage account, prepare your blobs, and run your first query in minutes.
De un vistazo
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