Link copied to clipboard # ClickHouse vs Google Cloud BigQuery Comparison - What are their main differences? Share [ Export ](/compare/clickhouse/google-cloud-bigquery/export.csv) ClickHouseBigQuery[+ Add Product](#) Pricing **ClickHouse** **Starting at $1.00** Per Month · ClickHouse 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 **Pricing Insights** from reviews Perceived Cost **ClickHouse** Not enough reviews yet **Google Cloud BigQuery** $$$$$ Average Discount **ClickHouse** 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 **ClickHouse** 6 months Based on 100 responses **Google Cloud BigQuery** 6 months Based on 100 responses Return on Investment **ClickHouse** 6 months Based on 100 responses **Google Cloud BigQuery** 6 months Based on 100 responses **Pros & Cons** from reviews **ClickHouse** [ Easy Integrations (2) ](https://www.g2.com/products/clickhouse/reviews?filters%5Bsentiment_snippet%5D=1173116&qs=pros-and-cons#reviews)[ Integrations (2) ](https://www.g2.com/products/clickhouse/reviews?filters%5Bsentiment_snippet%5D=1173076&qs=pros-and-cons#reviews)[ Beginner Unfriendliness (1) ](https://www.g2.com/products/clickhouse/reviews?filters%5Bsentiment_snippet%5D=2359804&qs=pros-and-cons#reviews)[ Complex Usage (1) ](https://www.g2.com/products/clickhouse/reviews?filters%5Bsentiment_snippet%5D=2359921&qs=pros-and-cons#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) Integrations **ClickHouse** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_809aa88d3571ee805a47d8fb156ba412/apache-kafka.jpg "Product Avatar Image") Apache Kafka ](https://www.g2.com/products/apache-kafka/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_f176b4154a751d10150daa67a57b7dc5/azure-data-factory.jpg "Product Avatar Image") Azure Data Factory ](https://www.g2.com/products/azure-data-factory/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)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_017ca5b65bc8cc79fa434f2716af16ee/dbt.png "Product Avatar Image") dbt ](https://www.g2.com/products/dbt/reviews)[ View all ](https://www.g2.com/products/clickhouse/integrations) **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 **ClickHouse** ![ClickHouse 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/1384096/Screenshot-2024-06-21-at-7.45.48-AM.png) **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 **ClickHouse** **9.0** /10 Based on 34 responses **Google Cloud BigQuery** **8.8** /10 Based on 632 responses Ease of Use **ClickHouse** **8.6** /10 Based on 35 responses **Google Cloud BigQuery** **8.7** /10 Based on 650 responses Ease of Setup **ClickHouse** **8.2** /10 Based on 29 responses **Google Cloud BigQuery** **8.7** /10 Based on 422 responses Ease of Admin **ClickHouse** **7.2** /10 Based on 15 responses **Google Cloud BigQuery** **8.5** /10 Based on 232 responses Quality of Support **ClickHouse** **8.1** /10 Based on 28 responses **Google Cloud BigQuery** **8.3** /10 Based on 572 responses Has the product been a good partner in doing business? **ClickHouse** **8.5** /10 Based on 10 responses **Google Cloud BigQuery** **8.6** /10 Based on 226 responses Product Direction (% positive) **ClickHouse** **9.2** /10 Based on 31 responses **Google Cloud BigQuery** **9.2** /10 Based on 617 responses **Features** ratings from reviews Columnar Databases **8.2** /10 Based on 12 responses **8.7** /10 Based on 76 responses ETL Tools Not enough data **8.9** /10 Based on 126 responses Data Warehouse Not enough data **8.7** /10 Based on 280 responses Uncover more feature rated insights from real users to improve your shopping experience. See it for free Database Management Systems (DBMS) **8.9** /10 Based on 7 responses Not enough data Relational Databases **9.0** /10 Based on 7 responses Not enough data Data Clean Room Not enough data **8.9** /10 Based on 24 responses Real-time Analytic Database **9.2** /10 Based on 25 responses Not enough data 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 Processing and Distribution Not enough data **8.7** /10 Based on 205 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.) 44.6% Mid-Market(51-1000 emp.) 41.1% Enterprise(\> 1000 emp.) 14.3% Small-Business(50 or fewer emp.) 44.6% Mid-Market(51-1000 emp.) 41.1% Enterprise(\> 1000 emp.) 14.3% 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.) 27.6% Mid-Market(51-1000 emp.) 34.2% Enterprise(\> 1000 emp.) 38.3% **Reviewers' Industry** [![ClickHouse](https://images.g2crowd.com/uploads/product/hd_favicon/1085fc1aec988cc21861ba894db51044/clickhouse.svg "ClickHouse")](https://www.g2.com/products/clickhouse/reviews) ClickHouse Information Technology and Services 20.9% Computer Software 16.3% Financial Services 11.6% Banking 4.7% Logistics and Supply Chain 4.7% Other 41.9% [![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 52.5% Alternatives **ClickHouse Alternatives** ![MySQL](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_240340edca859994ec71e4490aa20022/mysql.png "MySQL") [ MySQL ](/products/mysql/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) ## ClickHouse vs BigQuery FAQs Generated using AI Last updated: August 14, 2026 ### What is the difference between BigQuery vs ClickHouse? BigQuery and ClickHouse are both highly rated data warehouse solutions, but BigQuery stands out for its integrations and scalability, while ClickHouse is recognized for its speed and performance on large datasets. | [BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | [ClickHouse](https://www.g2.com/products/clickhouse/reviews) | | --- | --- | | 4.5/5 (1,224 reviews) | 4.5/5 (23 reviews) | | — | — | | 8.7 | 9.0 | | 8.3 | 8.3 | | Integrations (110 all-time mentions) | Speed and performance (recent reviews) | ### How do the pricing models of BigQuery and ClickHouse compare? BigQuery and ClickHouse are rated at parity for value, with both products receiving strong satisfaction scores for pricing and cost. - **BigQuery:** In recent reviews, many users highlight the pay-as-you-go model and appreciate the value for large-scale analytics, but note that costs can become unpredictable with unoptimized queries. - **ClickHouse:** Reviewers describe ClickHouse as delivering exceptional performance at a low hardware footprint, with positive sentiment around its cost-effectiveness for handling large datasets. ### What are the best alternatives to BigQuery and ClickHouse? Snowflake, Databricks, and MySQL are the top three alternatives to BigQuery and ClickHouse 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-go model, value for large-scale analytics | Integrations (110 all-time mentions) | | [ClickHouse](https://www.g2.com/products/clickhouse/reviews) | 4.5/5 (23 reviews) | — | Low hardware footprint, cost-effective for large datasets | Speed and performance (recent reviews) | | [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5 (763 reviews) | Mid-Market | — | Scalability and performance (recent reviews) | | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5 (1,366 reviews) | Enterprise | — | Advanced analytics and AI capabilities (recent reviews) | | [MySQL](https://www.g2.com/products/mysql/reviews) | 4.4/5 (1,682 reviews) | Small-Business | — | Reliability and widespread adoption (recent reviews) | ### Which Data Warehouse features should I prioritize when comparing BigQuery and ClickHouse? Buyers comparing BigQuery and ClickHouse should prioritize integrations, scalability, speed, ease of setup, and query efficiency. - **Integrations:** BigQuery: 110 all-time mentions; ClickHouse: recent reviews cite easy integrations. - **Scalability:** BigQuery: 99 all-time mentions; ClickHouse: recent reviews highlight handling of large datasets. - **Speed:** BigQuery: 126 all-time mentions; ClickHouse: recent reviews emphasize fast query execution. - **Ease of Setup:** BigQuery: 8.7; ClickHouse: 9.0. - **Query Efficiency:** BigQuery: 100 all-time mentions; ClickHouse: recent reviews cite efficient querying on large data. ### What are the pros and cons of BigQuery vs ClickHouse? BigQuery’s headline strength is its integrations and scalability, while ClickHouse’s is its speed and performance on large datasets. - **BigQuery strengths:** Integrations (110 all-time mentions), scalability (99), speed (126), ease of use (129), fast querying (105), and efficiency improvement (75). - **BigQuery trade-offs:** Expensive (112 all-time mentions), unpredictable costs, complex UI for beginners, and vendor lock-in. - **ClickHouse strengths:** Speed and performance (recent reviews), efficient handling of large datasets, cost-effectiveness, and flexible data structuring. - **ClickHouse trade-offs:** Initial learning curve, advanced query optimization requires expertise, and documentation for advanced use cases could be improved. ### Is BigQuery or ClickHouse better for small businesses? MySQL is the top-ranked alternative for small businesses, but among BigQuery and ClickHouse, both are used by small-business reviewers with positive sentiment. - **BigQuery:** Small-business reviewers highlight ease of use, integrations, and value for smaller datasets, especially with the free tier. - **ClickHouse:** Small-business reviewers cite fast performance and cost-effectiveness for handling large data volumes, but note a learning curve for advanced features. ### Which Data Warehouse platform has better integrations? BigQuery is favored for integrations, with a significantly higher number of reviewer-cited integration mentions. - **BigQuery:** Looker (63 all-time mentions), Tableau (32), Snowflake (15). - **ClickHouse:** Recent reviews mention integrations with Grafana and dbt. ### How do BigQuery and ClickHouse compare on customer support? BigQuery and ClickHouse are rated at parity for Quality of Support, both scoring 8.3. - **BigQuery:** Reviewers describe support as prompt and effective, with positive experiences noted for onboarding and troubleshooting, though some mention variability depending on support tier. - **ClickHouse:** Reviewers highlight strong community and documentation support, with positive experiences for troubleshooting and best practices, though some note a learning curve for advanced issues. ### Which is easier to implement, BigQuery or ClickHouse? ClickHouse scores higher on Ease of Setup (9.0 vs. 8.7), indicating reviewers find ClickHouse easier to implement than BigQuery. - **BigQuery:** Reviewers describe setup as straightforward, especially for those familiar with SQL and Google Cloud, but note complexity for beginners and in managing permissions. - **ClickHouse:** Reviewers highlight ease of implementation and quick onboarding, with some noting a learning curve for advanced data modeling and optimization. ### Which product has better Cloud? BigQuery is the stronger performer for Cloud, with extensive reviewer-cited strengths in cloud integration and serverless architecture. - **BigQuery:** Cloud integration is the most frequently mentioned feature, with 110 all-time mentions for integrations and 99 for scalability; reviewers consistently highlight its serverless, fully managed cloud architecture. - **ClickHouse:** Recent reviews note cloud deployment options and performance, but with fewer reviewer-cited mentions for cloud-specific features.