GBHackers buyer's guide compares 11 security data lake platforms for 2026 on openness, economics and portable detection
A GBHackers buyer's guide evaluates eleven security data lake platforms: Snowflake, Google SecOps, Databricks, Microsoft Sentinel/ADX, Amazon Security Lake, Panther, Cribl, Scanner.dev, Tenzir, Onum and Hydrolix. It judges them on storage and query economics, openness (table formats, OCSF, export paths), detection fit, reach-back performance and operational burden. The article is product and industry commentary with no incident, vulnerability or threat activity described.
Detalhes técnicos
- Lock-in tests: whether a different query engine can read historical tables without an export project, and whether detections survive a backend change (OCSF portability).
- Pricing comparison metric: monthly cost per terabyte that remains queryable at real volumes and query patterns.
- Object-storage retention is claimed to cost an order of magnitude less than ingest-priced SIEM storage.
- A data lake replaces only the SIEM's storage-economics half; detections and casework still need a separate layer.
Remediação
- Not applicable. Procurement advice: have each finalist reconstruct a six-month-old incident, and include a timed export clause (one terabyte out, open format) in the contract.
Linha do tempo
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GBHackers buyer's guide compares 11 security data lake platforms for 2026 on openness, economics and portable detection
ler a análise desta fonte ocultar
A GBHackers buyer's guide evaluates eleven security data lake platforms: Snowflake, Google SecOps, Databricks, Microsoft Sentinel/ADX, Amazon Security Lake, Panther, Cribl, Scanner.dev, Tenzir, Onum and Hydrolix. It judges them on storage and query economics, openness (table formats, OCSF, export paths), detection fit, reach-back performance and operational burden. The article is product and industry commentary with no incident, vulnerability or threat activity described.
Technical Details
- Lock-in tests: whether a different query engine can read historical tables without an export project, and whether detections survive a backend change (OCSF portability).
- Pricing comparison metric: monthly cost per terabyte that remains queryable at real volumes and query patterns.
- Object-storage retention is claimed to cost an order of magnitude less than ingest-priced SIEM storage.
- A data lake replaces only the SIEM's storage-economics half; detections and casework still need a separate layer.
Remediation
- Not applicable. Procurement advice: have each finalist reconstruct a six-month-old incident, and include a timed export clause (one terabyte out, open format) in the contract.