Feedly vs BigQuery
Side-by-side trajectory, velocity, and editorial themes.
Feedly compounds its threat-intel edge with steadier coverage and a thickening AI agent layer
Feedly Threat Intelligence ships on a roughly two-week cadence, deepening raw vulnerability coverage (now Oracle, Atlassian, and Apple advisories plus exploit-type tracking) and enrichment (GreyNoise, VirusTotal, Analyst1). On top of that base it keeps extending AI models — sharper cyberattack clustering, smarter insider-threat detection, and an expanding Cyberattack Agent.
The pattern is a widening data-and-integration base with an AI analysis layer built over it. Feedly is positioning the product as both a comprehensive intel source and an AI workspace that clusters attacks, extracts IoCs, and answers analyst questions, with delivery into Slack and Teams.
Expect continued biweekly coverage expansion plus more AI-agent analysis features and third-party enrichment integrations, rather than any single directional pivot.
BigQuery doubles down on Iceberg, graph, and global data sharing as the lakehouse fight intensifies.
BigQuery's May 2026 ship list is dominated by three tracks: open-format lakehouse integration (Iceberg v3 with deletion vectors, REST catalog support in Conversational Analytics), graph capabilities maturing inside BigQuery Studio, and global data exchange via multi-region sharing listings reaching GA. Alongside the feature work, Google is tightening Data Transfer Service security (MFA on Google Ads transfers) and warning about Ads retention changes that will cap historical backfills from June 1. The release notes show a mature warehouse continuing to absorb adjacent workloads rather than reinventing itself.
BigQuery is positioning itself as the federated query and sharing fabric for a multi-format world, with Iceberg getting closer to first-class status and Conversational Analytics extending across external catalogs. The graph and notebook work signals a push to keep more analytical work inside Studio instead of bouncing to specialized tools. Expect continued layering of governance, AI-assisted query, and open-table support on top of the existing engine rather than core engine reinvention.
Next obvious step is GA for Iceberg v3 features and full conversational graph querying without Preview gating. Watch for additional first-party data sources getting MFA mandates, mirroring the Google Ads tightening.
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