Zoho Analytics vs BigQuery
Side-by-side trajectory, velocity, and editorial themes.
Zoho Analytics is becoming the BI fabric for the Zoho stack — and an embed play for everyone else.
Zoho Analytics is executing on two parallel motions: deepening as the unified analytics layer across Zoho's own vertical apps (CRM, ERP, Inventory, Books, plus the Tally Prime connector for Indian finance teams), and pitching itself to outside SaaS builders as a white-label embedded BI option. The Q1 2026 rollup landed custom visualizations, drill actions, archive-data performance work, and stronger white-label security. Content output is heavy: half of the recent activity reads as thought leadership on embedded and white-label BI rather than feature releases.
The product is moving from "a BI tool you can buy" to "the analytics layer that ties the Zoho suite together," with each new in-house Zoho app (ERP most recently) shipping with an Analytics connector at launch. In parallel, the team is staking out embedded analytics as a category position, betting that ISVs increasingly want to buy that capability rather than build it. AI-driven analytics is being woven in quietly via Zia and the new CRM advanced-analytics framing.
Expect more "advanced analytics for [Zoho app]" launches following the CRM playbook — Books, Desk, and Inventory are the obvious next candidates. The embedded/white-label push will likely get firmer pricing or packaging in the next quarter.
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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