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Comparison · Analytics
Whatagraph vs BigQuery
A side-by-side editorial comparison of Whatagraph and BigQuery — release velocity, themes, recent moves, and the top alternatives to consider.
Whatagraph vs BigQuery: at a glance
| Feature | Whatagraph | BigQuery |
|---|---|---|
| Sector | Analytics | Infra & APIs, Analytics |
| Velocity score | 5.0 | 7.5 |
| Sparks · 30d | 0 | 0 |
| Top themes | marketing-analytics, agency-reporting, data-warehouse, integrations | lakehouse, iceberg, data-sharing, governance |
| Last editorial update | 21h ago | 1mo ago |
| Website | — | Visit → |
What is Whatagraph?
Whatagraph is quietly building a data layer beneath its agency reporting tool.
Whatagraph remains an agency-focused marketing reporting platform, but recent releases push two fronts at once: deeper data infrastructure and broader visualization. The Data Storage destination and Snowflake source let it ingest and retain data rather than just pull live API calls each render, while a steady stream of widgets (GeoMap, Gauge, Heatmap) and table controls sharpen the reporting surface clients see. Integration breadth keeps widening with WhatConverts, Shopify collaborator access, and a rebuilt CallTrackingMetrics.
What is BigQuery?
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.
Whatagraph vs BigQuery: editorial side-by-side
Whatagraph
5.0ANALYTICS
Whatagraph is quietly building a data layer beneath its agency reporting tool.
◆ Current state
Whatagraph remains an agency-focused marketing reporting platform, but recent releases push two fronts at once: deeper data infrastructure and broader visualization. The Data Storage destination and Snowflake source let it ingest and retain data rather than just pull live API calls each render, while a steady stream of widgets (GeoMap, Gauge, Heatmap) and table controls sharpen the reporting surface clients see. Integration breadth keeps widening with WhatConverts, Shopify collaborator access, and a rebuilt CallTrackingMetrics.
◆ Where it's heading
The center of gravity is shifting from a connector that visualizes marketing channels toward a data layer that stores and blends first-party and warehouse data. Storage, 24-month backfill, and Snowflake ingestion all reduce dependence on live API calls and position Whatagraph to own more of the pipeline. Visualization work continues in parallel but increasingly reads as table-stakes polish next to the infrastructure bets.
◆ Prediction
Expect the storage and warehouse thread to deepen, with more destinations, longer retention, and richer blended-attribution tooling on the Max plan. AI-assisted report creation (Create with IQ) is the likely next surface to expand.
BigQuery
7.5INFRA · APISANALYTICS
BigQuery doubles down on Iceberg, graph, and global data sharing as the lakehouse fight intensifies.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Whatagraph alternatives
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with Whatagraph.
Holistics
Holistics doubles down on agentic, code-native BI while courting Power BI defectors
Countly
Countly runs a sustained security-hardening pass across its 24.05 and 25.03 lines
Cluvio
Cluvio keeps sharpening the SQL-analyst workflow, and now lets you query files without a database.
Fulcrum
Fulcrum hardens its field-collection core with cross-platform tracking and map fixes
Geckoboard
Geckoboard is refining the dashboard itself — more filtering control and faster data.
BigQuery alternatives
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with BigQuery.
Retool
Retool fills in its AI-native React app builder
Vercel
Vercel keeps stacking the deployment platform for the agent era
Auth0
Auth0 is re-tooling identity for AI agents and B2B multi-tenancy
GitHub
GitHub bends its security stack toward governing the coding agents now writing the code.
Buildkite
Buildkite goes agent-native and secretless while easing the path off GitHub Actions
Ably
Ably is rebuilding its realtime stack around AI agents: transport SDK and agent-native CLI
Recent activity from Whatagraph and BigQuery
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoWhatagraphWhatConverts data available on Whatagraph
- 21d agoWhatagraphSnowflake, bol. Retailer & Advertising, and a rebuilt CallTrackingMetrics
- 1mo agoBigQueryBigQuery May 2026 - Multi-region sharing listings GA and Data Transfer Service updates
- 1mo agoBigQueryMFA required for new Google Ads data transfers
- 1mo agoBigQueryBigQuery Data Transfer Service connectors Google Ads data retention policy change
- 1mo agoBigQueryBigQuery ML ARIMA_PLUS_XREG model support for feature columns
- 1mo agoBigQueryBigQuery sharing listings for multiple regions
- 1mo agoBigQueryBigQuery May 2026 - Graph features, Iceberg v3, and Conversational Analytics ⚡
- 1mo agoWhatagraphSee where your audience actually is with the GeoMap widget (BETA)
- 1mo agoWhatagraphStore your data for faster reporting ⚡
- 2mo agoWhatagraphConditional formatting for tables is live
- 2mo agoWhatagraphShopify available with collaborator access
Frequently asked questions
What is the difference between Whatagraph and BigQuery?
They serve adjacent needs but don't currently overlap on shipped themes. BigQuery is currently shipping more aggressively (velocity 7.5 vs 5.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Whatagraph better than BigQuery?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BigQuery is currently shipping more aggressively (velocity 7.5 vs 5.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Whatagraph?
Top Whatagraph alternatives in Analytics are ranked by recent ship velocity. Browse the "Whatagraph alternatives" section above for the current picks, or visit /alternatives/whatagraph for the full list with editorial commentary on each.
What are the best alternatives to BigQuery?
Top BigQuery alternatives in Analytics are ranked by recent ship velocity. Browse the "BigQuery alternatives" section above for the current picks, or visit /alternatives/bigquery for the full list with editorial commentary on each.