Link copied to clipboard # Google Cloud BigQuery vs Power Query Comparison - What are their main differences? Share [ Export ](/compare/google-cloud-bigquery/power-query/export.csv) BigQueryPower Query[+ Add Product](#) Pricing **Google Cloud BigQuery** Free Trial **Free** · Free **$0.04** · Standard **$0.06** · Enterprise **$0.10** · Enterprise Plus **Pay As You Go** Per Month · Startup Program Show more **Power Query** No pricing available **Pricing Insights** from reviews Perceived Cost **Google Cloud BigQuery** $$$$$ **Power Query** Not enough reviews yet Average Discount **Google Cloud BigQuery** 12% **Power Query** Not enough reviews yet Uncover valuable pricing insights from real user feedback to improve your shopping experience. See it for free Time to Implement **Google Cloud BigQuery** 6 months Based on 100 responses **Power Query** 6 months Based on 100 responses Return on Investment **Google Cloud BigQuery** 6 months Based on 100 responses **Power Query** 6 months Based on 100 responses **Pros & Cons** from reviews **Google Cloud BigQuery** [ Ease of Use (156) ](https://www.g2.com/products/google-cloud-bigquery/reviews?filters%5Bsentiment_snippet%5D=1145443&qs=pros-and-cons#reviews)[ Speed (143) ](https://www.g2.com/products/google-cloud-bigquery/reviews?filters%5Bsentiment_snippet%5D=1142578&qs=pros-and-cons#reviews)[ Expensive (127) ](https://www.g2.com/products/google-cloud-bigquery/reviews?filters%5Bsentiment_snippet%5D=1143964&qs=pros-and-cons#reviews)[ Query Issues (78) ](https://www.g2.com/products/google-cloud-bigquery/reviews?filters%5Bsentiment_snippet%5D=1144445&qs=pros-and-cons#reviews) **Power Query** [ Automation (1) ](https://www.g2.com/products/power-query/reviews?filters%5Bsentiment_snippet%5D=2480219&qs=pros-and-cons#reviews)[ Ease of Use (1) ](https://www.g2.com/products/power-query/reviews?filters%5Bsentiment_snippet%5D=2480223&qs=pros-and-cons#reviews)[ Lack of Real-Time Data (1) ](https://www.g2.com/products/power-query/reviews?filters%5Bsentiment_snippet%5D=2480217&qs=pros-and-cons#reviews)[ Refresh Issues (1) ](https://www.g2.com/products/power-query/reviews?filters%5Bsentiment_snippet%5D=2480230&qs=pros-and-cons#reviews) Integrations **Google Cloud BigQuery** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_f972a2c87e06845d7e603ede176c7bc7/appsheet.png "Product Avatar Image") AppSheet ](https://www.g2.com/products/appsheet/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_13aba37ae908d9cf29a2452925257ccc/azure-databricks.jpeg "Product Avatar Image") Azure Databricks ](https://www.g2.com/products/azure-databricks/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_072232548a7a15072969c18d6ea3e2f8/boomi-data-integration.jpg "Product Avatar Image") Boomi Data Integration ](https://www.g2.com/products/boomi-data-integration/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_5a70c0e0f26ded6f6c6813e514d2fa20/claude.png "Product Avatar Image") Claude ](https://www.g2.com/products/claude/reviews)[ View all ](https://www.g2.com/products/google-cloud-bigquery/integrations) **Power Query** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_033aa224b72b00b72e8860e4e6401efc/microsoft-excel.png "Product Avatar Image") Microsoft Excel ](https://www.g2.com/products/microsoft-excel/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b8b49f2b6f9cd484b0efa52a4abd8269/microsoft-microsoft-power-bi.png "Product Avatar Image") Microsoft Power BI ](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_9e189c9a0582c6b3467658109ad95bd9/oracle-netsuite.png "Product Avatar Image") NetSuite ](https://www.g2.com/products/oracle-netsuite/reviews)[ View all ](https://www.g2.com/products/power-query/integrations) Screenshots **Google Cloud BigQuery** ![Google Cloud BigQuery screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/1235544/BigQuery-screenshot-Capterra.png) **Power Query** No screenshot available **Ratings** from reviews Meets Requirements **Google Cloud BigQuery** **8.8** /10 Based on 632 responses **Power Query** **8.6** /10 Based on 16 responses Ease of Use **Google Cloud BigQuery** **8.7** /10 Based on 650 responses **Power Query** **8.9** /10 Based on 17 responses Ease of Setup **Google Cloud BigQuery** **8.7** /10 Based on 422 responses **Power Query** **8.6** /10 Based on 6 responses Ease of Admin **Google Cloud BigQuery** **8.5** /10 Based on 232 responses **Power Query** Not enough data Quality of Support **Google Cloud BigQuery** **8.3** /10 Based on 572 responses **Power Query** **8.6** /10 Based on 15 responses Has the product been a good partner in doing business? **Google Cloud BigQuery** **8.6** /10 Based on 226 responses **Power Query** Not enough data Product Direction (% positive) **Google Cloud BigQuery** **9.2** /10 Based on 617 responses **Power Query** **10.0** /10 Based on 16 responses **Features** ratings from reviews ETL Tools **8.9** /10 Based on 126 responses **8.7** /10 Based on 16 responses Data Warehouse **8.7** /10 Based on 279 responses Not enough data Columnar Databases **8.7** /10 Based on 76 responses Not enough data Uncover more feature rated insights from real users to improve your shopping experience. See it for free Data Clean Room **8.9** /10 Based on 24 responses Not enough data Predictive Analytics **8.6** /10 Based on 81 responses Not enough data Marketing Analytics **8.9** /10 Based on 71 responses Not enough data Big Data Processing and Distribution **8.7** /10 Based on 204 responses Not enough data Big Data Analytics **8.5** /10 Based on 320 responses Not enough data User Insights **Reviewers' Company Size** Small-Business(50 or fewer emp.) 27.6% Mid-Market(51-1000 emp.) 34.2% Enterprise(\> 1000 emp.) 38.3% Small-Business(50 or fewer emp.) 27.6% Mid-Market(51-1000 emp.) 34.2% Enterprise(\> 1000 emp.) 38.3% Small-Business(50 or fewer emp.) 29.4% Mid-Market(51-1000 emp.) 52.9% Enterprise(\> 1000 emp.) 17.6% Small-Business(50 or fewer emp.) 29.4% Mid-Market(51-1000 emp.) 52.9% Enterprise(\> 1000 emp.) 17.6% **Reviewers' Industry** [![Google Cloud BigQuery](https://images.g2crowd.com/uploads/product/hd_favicon/875b8a68eca98ce3458f26e9dd34cdf9/google-cloud-bigquery.svg "Google Cloud BigQuery")](https://www.g2.com/products/google-cloud-bigquery/reviews) Google Cloud BigQuery Information Technology and Services 15.0% Computer Software 13.5% Retail 7.1% Financial Services 6.8% Marketing and Advertising 5.2% Other 52.5% [![Power Query](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_13aba37ae908d9cf29a2452925257ccc/power-query.jpeg "Power Query")](https://www.g2.com/products/power-query/reviews) Power Query Financial Services 11.8% Transportation/Trucking/Railroad 5.9% Telecommunications 5.9% Retail 5.9% Non-Profit Organization Management 5.9% Other 64.7% Alternatives **Google Cloud BigQuery Alternatives** ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake") [ Snowflake ](/products/snowflake/reviews) ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks") [ Databricks ](/products/databricks/reviews) ![Cloudera](https://images.g2crowd.com/uploads/product/hd_favicon/dcfb9e6879febb34cef773ddde921835/cloudera.svg "Cloudera") [ Cloudera ](/products/cloudera/reviews) ![Amazon Redshift](https://images.g2crowd.com/uploads/product/hd_favicon/1528476479/amazon-redshift.svg "Amazon Redshift") [ Amazon Redshift ](/products/amazon-redshift/reviews) **Power Query Alternatives** ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks") [ Databricks ](/products/databricks/reviews) ![Alteryx](https://images.g2crowd.com/uploads/product/hd_favicon/5200f776b24b5976b8f7d151d1d2e8fd/alteryx.svg "Alteryx") [ Alteryx ](/products/alteryx/reviews) ![Supermetrics](https://images.g2crowd.com/uploads/product/hd_favicon/2f396db22ac6d3c75a88648cbca3a331/supermetrics.svg "Supermetrics") [ Supermetrics ](/products/supermetrics/reviews) ![Domo](https://images.g2crowd.com/uploads/product/hd_favicon/4addbaa38068707b69040d20adb0fbc5/domo.svg "Domo") [ Domo ](/products/domo/reviews) ## BigQuery vs Power Query FAQs Generated using AI Last updated: August 15, 2026 ### What is the difference between BigQuery vs Power Query? BigQuery and Power Query differ most clearly in scale and use case, with BigQuery excelling in large-scale, cloud-based analytics and Power Query focused on data transformation within Microsoft environments. | [BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | [Power Query](https://www.g2.com/products/power-query/reviews) | | --- | --- | | 4.5/5 (1,224 reviews) | 4.4/5 (16 reviews) | | — | — | | 8.7 | 8.3 | | 8.3 | 8.6 | | Speed | Ease of Use | ### How do the pricing models of BigQuery and Power Query compare? BigQuery is rated higher for value by reviewers, with a stronger Price/Cost satisfaction score than Power Query. - **BigQuery:** Reviewers highlight the pay-as-you-query model as offering good value, especially for large-scale analytics, but note that costs can become unpredictable if queries are not optimized. - **Power Query:** Reviewers appreciate its integration with Excel and Power BI for data transformation, but do not emphasize pricing as a key differentiator. ### What are the best alternatives to BigQuery and Power Query? Snowflake, Databricks, and Cloudera are the top three alternatives to BigQuery and Power Query according to G2 rankings. | Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength | | --- | --- | --- | --- | --- | | [BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5 (1,224 reviews) | — | Pay-as-you-query model offers strong ROI for large-scale analytics | Speed | | [Power Query](https://www.g2.com/products/power-query/reviews) | 4.4/5 (16 reviews) | — | — | Ease of Use | | [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5 (763 reviews) | Mid-Market | — | Performance | | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5 (1,366 reviews) | Enterprise | — | Scalability | | [Cloudera](https://www.g2.com/products/cloudera/reviews) | 4.1/5 (136 reviews) | Enterprise | — | Data Management | ### Which Data Warehouse features should I prioritize when comparing BigQuery and Power Query? Buyers comparing BigQuery and Power Query should prioritize scalability, speed, integrations, ease of use, and automation. - **Scalability:** BigQuery is cited for scalability in 99 all-time reviews; Power Query is not cited for scalability. - **Speed:** BigQuery is cited for speed in 126 all-time reviews; Power Query is not cited for speed. - **Integrations:** BigQuery is cited for integrations in 110 all-time reviews; Power Query is not cited for integrations. - **Ease of Use:** BigQuery is cited for ease of use in 129 all-time reviews; Power Query is cited for ease of use in recent reviews. - **Automation:** Power Query is cited for automation in recent reviews; BigQuery is not cited for automation. ### What are the pros and cons of BigQuery vs Power Query? BigQuery's headline strength is speed and scalability, while Power Query's is ease of use for data transformation. - **BigQuery strengths:** Speed (126 all-time mentions), scalability (99), integrations (110), fast querying (105), ease of use (129), and efficiency improvement (75). - **BigQuery trade-offs:** Expensive (112), query issues (65), unpredictable costs, and a learning curve for beginners. - **Power Query strengths:** Ease of use, intuitive interface, automation, and time-saving for repetitive data transformation tasks (recent reviews). - **Power Query trade-offs:** Lacks real-time data, refresh issues, and can be slow or complex with large datasets (recent reviews). ### Is BigQuery or Power Query better for small businesses? Power Query is better suited for small businesses, as reflected in reviewer sentiment and its integration with Excel and Power BI. - **BigQuery:** No dominant small-business segment; reviewers note its strengths in large-scale analytics but mention complexity and unpredictable costs for smaller use cases. - **Power Query:** Reviewers highlight its fit for small businesses due to ease of use, automation, and integration with familiar Microsoft tools. ### Which Data Warehouse platform has better integrations? BigQuery is favored by reviewers for integrations, with extensive mention counts for key analytics and BI tools. - **BigQuery:** Looker (63 all-time mentions), Tableau (32), Snowflake (15); reviewers consistently highlight integration with Google Analytics and Ads. - **Power Query:** Reviewers mention integration with Excel and Power BI in recent reviews, but no all-time mention counts are available. ### How do BigQuery and Power Query compare on customer support? Power Query and BigQuery are rated in near-parity for Quality of Support, with scores of 8.6 and 8.3 respectively, indicating similar reviewer satisfaction. - **BigQuery:** Reviewers describe support as generally responsive, with some noting variability depending on support tier. - **Power Query:** Reviewers consistently praise the support experience, citing helpfulness and availability in recent reviews. ### Which is easier to implement, BigQuery or Power Query? BigQuery and Power Query score within 0.4 points on Ease of Setup (8.7 vs 8.3), indicating similar ease of implementation. - **BigQuery:** Reviewers describe setup as straightforward, especially for those familiar with SQL, but note a learning curve for advanced features and cost management. - **Power Query:** Reviewers highlight an intuitive setup process, especially for users already using Excel or Power BI, with some noting a learning curve for advanced data transformation tasks. ### Which product has better Cloud? BigQuery is the stronger product for Cloud, as supported by reviewer sentiment and all-time mention counts. - **BigQuery:** Cloud is cited as a top feature in 64 all-time reviews, with reviewers highlighting its serverless architecture and cloud-based scalability. - **Power Query:** No reviewer-cited cloud strengths or mention counts are available.