Try our new research platform with insights from 80,000+ expert users
BigQuery Logo

Top 10 BigQuery Alternatives

Vendor: Google
4.1 out of 5
Badge Leader
Leave a review

Top BigQuery Competitors

Discover the top alternatives and competitors to BigQuery based on the interviews we conducted with its users. The top alternative solutions include Databricks, Azure Data Factory, and Teradata. The alternatives are sorted based on how often peers compare the solutions. BigQuery surpasses its competitors by offering unparalleled speed, scalability, and a user-friendly interface, enabling real-time analytics on massive datasets while integrating seamlessly with Google's ecosystem, enhancing decision-making processes for businesses of all sizes.

Google Alternatives Report

Learn what solutions real users are comparing with Google, and compare use cases, valuable features, and pricing.
Get the alternatives report
BigQuery Logo
Databricks
4.1 out of 5
BigQuery Logo
Databricks
4.1 out of 5

Databricks is a platform for large-scale data processing, analytics, and machine learning. Organizations use it for ETL, real-time streaming, and big data management across Azure and AWS. Features include user-friendly interface, Delta Lake data transformation, flexibility with multiple languages, and collaborative notebooks, enhancing productivity and team collaboration.

Download BigQuery vs. Databricks Report
Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
View comparison
Pricing
Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
BigQuery Logo
Azure Data Factory
4.0 out of 5
BigQuery Logo
Azure Data Factory
4.0 out of 5
Azure Data Factory excels with robust ETL capabilities and flexibility in data workflows. In comparison, BigQuery shines with real-time processing and efficient large-scale analysis. Azure Data Factory's integration and pricing can be complex, whereas BigQuery's limitations involve data handling and flexible pricing for enterprises.
Download Azure Data Factory vs. BigQuery Report
Azure Data Factory's setup cost is known for being competitive, while BigQuery tends to have a higher initial investment, reflecting its advanced capabilities and built-in optimizations.
View comparison
Pricing
Azure Data Factory's setup cost is known for being competitive, while BigQuery tends to have a higher initial investment, reflecting its advanced capabilities and built-in optimizations.
BigQuery Logo
Teradata
4.1 out of 5
BigQuery Logo
Teradata
4.1 out of 5
Teradata's robust parallel processing architecture supports fast query execution and scalability. In comparison, BigQuery's cloud-native, serverless design offers cost-effective analytics and machine learning integration, ideal for seamless cloud integration. Both cater to large-scale data tasks with distinct approaches to infrastructure and cost.
Download BigQuery vs. Teradata Report
Teradata requires a higher upfront setup cost compared to BigQuery, which offers a more cost-effective initial setup.
View comparison
Pricing
Teradata requires a higher upfront setup cost compared to BigQuery, which offers a more cost-effective initial setup.
BigQuery Logo
Snowflake
4.2 out of 5
BigQuery Logo
Snowflake
4.2 out of 5
Snowflake offers strong scalability and flexible data management features, making it suitable for various formats. In comparison, BigQuery excels with its integrated machine learning and columnar storage, appealing for advanced analytics and high-volume data processing. Each solution offers unique advantages for tech buyers.
Download BigQuery vs. Snowflake Report
Snowflake features straightforward setup costs, appealing to businesses seeking quick deployment, while BigQuery’s adaptable pricing structure allows for more customized scaling. Their contrasting approaches highlight distinct advantages for different business strategies.
View comparison
Pricing
Snowflake features straightforward setup costs, appealing to businesses seeking quick deployment, while BigQuery’s adaptable pricing structure allows for more customized scaling. Their contrasting approaches highlight distinct advantages for different business strategies.
BigQuery Logo
BigQuery Logo
OpenText Analytics Database (Vertica)
4.1 out of 5
OpenText Analytics Database is ideal for complex queries and real-time analytics without typical constraints. In comparison, BigQuery excels with Google Cloud integration, offering ease of deployment and flexibility, attracting those invested in the cloud ecosystem and seeking deployment simplicity.
Download BigQuery vs. OpenText Analytics Database (Vertica) Report
OpenText Analytics Database (Vertica) requires an initial setup fee, while BigQuery has no upfront setup costs, highlighting a significant cost structure difference between the two solutions.
View comparison
Pricing
OpenText Analytics Database (Vertica) requires an initial setup fee, while BigQuery has no upfront setup costs, highlighting a significant cost structure difference between the two solutions.
BigQuery Logo
Dremio
4.2 out of 5
BigQuery Logo
Dremio
4.2 out of 5
Dremio offers flexible deployment and cost-effective solutions, appealing to those seeking versatile cloud options and minimal resource consumption. In comparison, BigQuery excels in scalability and integration within Google Cloud, suitable for large-scale data processing needs.
Download BigQuery vs. Dremio Report
Dremio involves an initial setup cost that is predictable, while BigQuery's setup is simpler with no upfront fees. These distinct approaches highlight Dremio's focus on cost management and BigQuery's emphasis on ease of entry.
View comparison
Pricing
Dremio involves an initial setup cost that is predictable, while BigQuery's setup is simpler with no upfront fees. These distinct approaches highlight Dremio's focus on cost management and BigQuery's emphasis on ease of entry.
BigQuery Logo
BigQuery Logo
Microsoft Azure Synapse Analytics
3.9 out of 5
Microsoft Azure Synapse Analytics excels with high scalability and advanced data integration but could improve its interface and external tool integration. In comparison, BigQuery effectively handles large datasets and provides real-time insights, with cost-effective pricing and consistent customer support, although facing complexity in support requests.
Download BigQuery vs. Microsoft Azure Synapse Analytics Report
Microsoft Azure Synapse Analytics typically incurs higher setup costs, whereas BigQuery often provides a more cost-effective initial setup. This cost difference may influence budget-conscious decision-making for organizations.
View comparison
Pricing
Microsoft Azure Synapse Analytics typically incurs higher setup costs, whereas BigQuery often provides a more cost-effective initial setup. This cost difference may influence budget-conscious decision-making for organizations.
BigQuery Logo
BigQuery Logo
Oracle Autonomous Data Warehouse
4.2 out of 5
Oracle Autonomous Data Warehouse presents strong automation and security, focusing on simplicity and superior support. In comparison, BigQuery excels with real-time analytics and diverse integrations, offering significant scalability. Tech buyers might choose Oracle for ease and support, while BigQuery appeals for versatility and speed.
Download BigQuery vs. Oracle Autonomous Data Warehouse Report
Oracle Autonomous Data Warehouse offers a lower setup cost compared to BigQuery, highlighting affordability as a key differentiator. In contrast, BigQuery demands higher initial investment, showcasing its emphasis on premium features and extensive capabilities.
View comparison
Pricing
Oracle Autonomous Data Warehouse offers a lower setup cost compared to BigQuery, highlighting affordability as a key differentiator. In contrast, BigQuery demands higher initial investment, showcasing its emphasis on premium features and extensive capabilities.
BigQuery Logo
AWS Lake Formation
4.0 out of 5
BigQuery Logo
AWS Lake Formation
4.0 out of 5
AWS Lake Formation is preferred for its data security, seamless AWS integration, and cost-effectiveness. In comparison, BigQuery attracts those seeking advanced analytics and rapid processing capabilities, despite potentially higher costs. These distinctions guide tech buyers towards tailored data management solutions.
Download AWS Lake Formation vs. BigQuery Report
AWS Lake Formation typically incurs setup costs due to its intricate initial configuration, while BigQuery offers a simpler setup with integrated pricing models. AWS Lake Formation requires more initial investment in time and resources compared to BigQuery's streamlined approach.
View comparison
Pricing
AWS Lake Formation typically incurs setup costs due to its intricate initial configuration, while BigQuery offers a simpler setup with integrated pricing models. AWS Lake Formation requires more initial investment in time and resources compared to BigQuery's streamlined approach.
BigQuery Logo
BigQuery Logo
SAP Business Warehouse
3.9 out of 5
SAP Business Warehouse offers robust integration into SAP ecosystems, benefiting those with complex ERP needs. In comparison, BigQuery excels in speed and performance with a cloud-native deployment, appealing to organizations requiring scalable, cost-effective analytics solutions with real-time data processing capabilities.
Download BigQuery vs. SAP Business Warehouse Report
SAP Business Warehouse setup costs are significantly higher compared to BigQuery, making BigQuery a more cost-effective choice for initial investment.
View comparison
Pricing
SAP Business Warehouse setup costs are significantly higher compared to BigQuery, making BigQuery a more cost-effective choice for initial investment.
BigQuery Logo
BigQuery Logo
Yellowbrick Cloud Data Warehouse
1 out of 5

Introducing the Yellowbrick Cloud Data Warehouse – overcome the scale, cost and performance challenges posed by traditional cloud data warehouses. Multi-cloud support allows customers to connect multiple public and private clouds to a single Yellowbrick Cloud Data Warehouse. Support the applications, users and public clouds of your choice.

View comparison

Related categories

Cloud Data Warehouse
Data Science Platforms
Data Management Platforms (DMP)