Link copied to clipboard # AWS Lake Formation vs Google Cloud BigQuery Comparison - What are their main differences? Share [ Export ](/compare/aws-lake-formation/google-cloud-bigquery/export.csv) AWS Lake FormationBigQuery[+ Add Product](#) Pricing **AWS Lake Formation** Free Trial No pricing available **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 **Pricing Insights** from reviews Perceived Cost **AWS Lake Formation** $$$$$ **Google Cloud BigQuery** $$$$$ Average Discount **AWS Lake Formation** Not enough reviews yet **Google Cloud BigQuery** 12% Uncover valuable pricing insights from real user feedback to improve your shopping experience. See it for free Time to Implement **AWS Lake Formation** 6 months Based on 100 responses **Google Cloud BigQuery** 6 months Based on 100 responses Return on Investment **AWS Lake Formation** 6 months Based on 100 responses **Google Cloud BigQuery** 6 months Based on 100 responses **Pros & Cons** from reviews **AWS Lake Formation** Not enough data **Google Cloud BigQuery** Ease of Use (156) Speed (143) Expensive (127) Query Issues (78) Integrations **AWS Lake Formation** Not enough data **Google Cloud BigQuery** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_dc218a7b4e898f9384267cbd98b09aa8/apache-airflow.jpg "Product Avatar Image") Apache Airflow ](https://www.g2.com/products/apache-airflow/reviews)[ ![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)[ View all ](https://www.g2.com/products/google-cloud-bigquery/integrations) Screenshots **AWS Lake Formation** No screenshot available **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) **Ratings** from reviews Meets Requirements **AWS Lake Formation** **8.8** /10 Based on 26 responses **Google Cloud BigQuery** **8.8** /10 Based on 635 responses Ease of Use **AWS Lake Formation** **8.7** /10 Based on 26 responses **Google Cloud BigQuery** **8.7** /10 Based on 653 responses Ease of Setup **AWS Lake Formation** **8.5** /10 Based on 11 responses **Google Cloud BigQuery** **8.7** /10 Based on 425 responses Ease of Admin **AWS Lake Formation** **8.0** /10 Based on 9 responses **Google Cloud BigQuery** **8.5** /10 Based on 232 responses Quality of Support **AWS Lake Formation** **8.3** /10 Based on 25 responses **Google Cloud BigQuery** **8.3** /10 Based on 573 responses Has the product been a good partner in doing business? **AWS Lake Formation** **9.0** /10 Based on 8 responses **Google Cloud BigQuery** **8.6** /10 Based on 226 responses Product Direction (% positive) **AWS Lake Formation** **10.0** /10 Based on 22 responses **Google Cloud BigQuery** **9.2** /10 Based on 620 responses **Features** ratings from reviews Big Data Processing and Distribution **8.5** /10 Based on 20 responses **8.7** /10 Based on 205 responses ETL Tools Not enough data **8.9** /10 Based on 126 responses Data Warehouse Not enough data **8.8** /10 Based on 282 responses Uncover more feature rated insights from real users to improve your shopping experience. See it for free Columnar Databases Not enough data **8.7** /10 Based on 76 responses Data Clean Room Not enough data **8.9** /10 Based on 24 responses Predictive Analytics Not enough data **8.6** /10 Based on 82 responses Marketing Analytics Not enough data **8.9** /10 Based on 71 responses Big Data Analytics Not enough data **8.5** /10 Based on 320 responses User Insights **Reviewers' Company Size** Small-Business(50 or fewer emp.) 42.4% Mid-Market(51-1000 emp.) 27.3% Enterprise(\> 1000 emp.) 30.3% Small-Business(50 or fewer emp.) 42.4% Mid-Market(51-1000 emp.) 27.3% Enterprise(\> 1000 emp.) 30.3% Small-Business(50 or fewer emp.) 27.5% Mid-Market(51-1000 emp.) 34.2% Enterprise(\> 1000 emp.) 38.3% Small-Business(50 or fewer emp.) 27.5% Mid-Market(51-1000 emp.) 34.2% Enterprise(\> 1000 emp.) 38.3% **Reviewers' Industry** [![AWS Lake Formation](https://images.g2crowd.com/uploads/product/hd_favicon/5383be31b099738701f86724a8b5cf9a/aws-lake-formation.svg "AWS Lake Formation")](https://www.g2.com/products/aws-lake-formation/reviews) AWS Lake Formation Information Technology and Services 25.0% Banking 9.4% Retail 6.3% Computer Software 6.3% Management Consulting 6.3% Other 46.9% [![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 52.4% Alternatives **AWS Lake Formation Alternatives** ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks") [ Databricks ](/products/databricks/reviews) ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake") [ Snowflake ](/products/snowflake/reviews) ![Microsoft SQL Server](https://images.g2crowd.com/uploads/product/hd_favicon/a8a99a96fda235658139f710592f8a53/microsoft-sql-server.svg "Microsoft SQL Server") [ MS SQL ](/products/microsoft-sql-server/reviews) ![Teradata Autonomous Knowledge Platform](https://images.g2crowd.com/uploads/product/hd_favicon/18effe7340087cf76270e479644d3e42/teradata-autonomous-knowledge-platform.svg "Teradata Autonomous Knowledge Platform") [ Teradata Autonomous Knowledge Platform ](/products/teradata-autonomous-knowledge-platform/reviews) **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) ## AWS Lake Formation vs BigQuery FAQs Generated using AI Last updated: November 13, 2026 ### What is the difference between BigQuery vs AWS Lake Formation? BigQuery is a serverless analytics warehouse, while AWS Lake Formation is distinguished in reviews by data-lake setup, governance, and access control within AWS. | Dimension | [BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | [AWS Lake Formation](https://www.g2.com/products/aws-lake-formation/reviews) | | --- | --- | --- | | G2 Rating (reviews) | 4.5/5 (1.2k+ reviews) | 4.4/5 (30+ reviews) | | Largest Segment | Enterprise | Small-Business | | Ease of Setup | 8.7/10 | 8.5/10 | | Quality of Support | 8.3/10 | 8.3/10 | | Top Reviewer-Cited Strength | Ease of Use (100+ mentions) | Secure data-lake setup and centralized governance | ### How do the pricing models of BigQuery and AWS Lake Formation compare? BigQuery leads on reviewer-rated value, with a Price/Cost satisfaction score of 8.6/10 versus AWS Lake Formation’s 8.0/10. - **BigQuery:** In recent reviews, users value its pay-for-use flexibility and free small-scale use, while warning that query costs can rise unexpectedly and require monitoring. - **AWS Lake Formation:** In recent reviews, users value the service’s data-lake and governance benefits, while describing cost as a concern, particularly for large environments. ### What are the best alternatives to BigQuery and AWS Lake Formation? Snowflake, Databricks, and Cloudera are the top three G2-ranked alternatives to BigQuery and AWS Lake Formation. | 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 (1.2k+ reviews) | Enterprise | Recent reviewers cite free small-scale use and warn of unpredictable query costs. | Fast analytics on large datasets | | [AWS Lake Formation](https://www.g2.com/products/aws-lake-formation/reviews) | 4.4/5 (30+ reviews) | Small-Business | Recent reviewers describe cost as a concern. | Secure data-lake setup and centralized governance | | [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.6/5 (700+ reviews) | Mid-Market | | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5 (1.4k+ reviews) | Enterprise | | [Cloudera](https://www.g2.com/products/cloudera/reviews) | 4.2/5 (200+ reviews) | Enterprise | ### Which Data Warehouse features should I prioritize when comparing BigQuery and AWS Lake Formation? Prioritize ease of use, scalability, analytics performance, governance and access control, and administration when evaluating BigQuery and AWS Lake Formation. - **Ease of use:** Both score 8.7/10; BigQuery’s ease of use is cited in 100+ reviews, and recent reviewers describe AWS Lake Formation’s centralized permissions as useful but its permission model as complex. - **Scalability and analytics:** BigQuery’s scalability has 100+ all-time mentions and analytics has 80+; recent reviewers highlight fast querying and handling large datasets. - **Governance and access control:** Recent AWS Lake Formation reviews emphasize centralized permissions, secure data-lake management, and fine-grained access controls. - **Administration:** BigQuery scores 8.5/10 for Ease of Admin versus 8.0/10 for AWS Lake Formation, a 0.5-point advantage for BigQuery. ### What are the pros and cons of BigQuery vs AWS Lake Formation? BigQuery’s headline strength is fast, scalable analytics without infrastructure management; AWS Lake Formation’s is secure data-lake governance and centralized access control. - **BigQuery strengths:** G2 reviewers cite ease of use (100+ mentions), scalability (100+), and analytics (80+); recent reviews praise SQL querying, large-dataset performance, and integrations. - **BigQuery trade-offs:** Recent reviewers say query costs can be difficult to predict, and beginners can find pricing, permissions, and the interface challenging. - **AWS Lake Formation strengths:** Recent reviewers value centralized governance, secure access management, and support for organizing varied data in a lake. - **AWS Lake Formation trade-offs:** Recent reviewers describe permission configuration and troubleshooting as complex, and note reliance on AWS services and limited integration beyond AWS. ### Is BigQuery or AWS Lake Formation better for small businesses? AWS Lake Formation is the stronger small-business fit by reviewer segment, while BigQuery offers small-scale users a free starting point and serverless analytics. - **BigQuery:** Its largest reviewer segment is Enterprise; recent small-scale reviewers value free use at low volumes and a low-cost learning sandbox, while cautioning that costs can grow with query use. - **AWS Lake Formation:** Its largest reviewer segment is Small-Business; reviewers describe it as useful for building a secure, centralized data lake, while noting setup and ongoing management can require expertise. ### Which Data Warehouse platform has better integrations? BigQuery has the stronger integration signal, with recent reviews naming multiple analytics and reporting connections; AWS Lake Formation reviewers emphasize AWS-native interoperability and note limits beyond that ecosystem. - **BigQuery:** G2 reviews mention Looker (60+ mentions), Tableau (30+), and Google Analytics (20+); recent reviewers also cite Google Cloud services and Power BI. - **AWS Lake Formation:** Recent reviewers cite AWS Glue, Athena, Redshift, and S3 integrations, while describing integration with non-AWS tools and data sources as more challenging. ### How do BigQuery and AWS Lake Formation compare on customer support? BigQuery and AWS Lake Formation are at parity on Quality of Support, both scoring 8.3/10, a difference below the 0.2-point materiality threshold. - **BigQuery:** Recent reviewers describe support experiences ranging from helpful documentation and onboarding to troubleshooting that can depend on the selected support tier. - **AWS Lake Formation:** Reviewers describe support as helpful in several experiences, while also noting that technical assistance can be costly. ### Which is easier to implement, BigQuery or AWS Lake Formation? BigQuery leads AWS Lake Formation on Ease of Setup by 0.2 points, scoring 8.7/10 versus 8.5/10; BigQuery also leads Ease of Admin, 8.5/10 to 8.0/10. - **BigQuery:** Recent reviewers often describe setup as straightforward, citing serverless operation and SQL-based workflows; others note that permissions and initial Google Cloud navigation can take effort. - **AWS Lake Formation:** Reviewers describe quick data-lake setup, but also report that scalable governance, permissions, and manual configuration require AWS experience. ### Which product has better Cloud? Cloud is the focus feature for BigQuery and AWS Lake Formation. - **BigQuery:** Reviewers describe cloud-based, serverless analytics that avoids infrastructure management; recent reviews cite integration with Google Cloud services. - **AWS Lake Formation:** Reviewers describe a managed cloud data-lake service with centralized security and access control; recent reviews emphasize governance across AWS analytics services.