Top Google BigQuery Alternatives and Competitors
Looking to upgrade or change your solution? Take away the guesswork and stay informed with end user feedback to identify and select the solution that best matches your needs.
BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Use BigQuery to manage all data types across clouds, structured and unstructured, with fine-grained access controls. BigQuery's serverless architecture lets you use SQL queries to analyze your data. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives.
Common Features
Analytics and Reporting | Data Security | Data Management | Data Visualization | Metadata Management | Real Time Capabilities | Platform Administration | Data Integration | Workload Management and Monitoring | Analytics and Data Science Tools | Distributed Processing
8.8
Composite
Score
+90
Emotional
Footprint
76
Reviews
Best Alternatives and Competitors to Google BigQuery
Compare how Google BigQuery stacks up to the competition in the areas that matter most to real users to short list options that will best fit your business needs.
Snowflake
Snowflake
8.8
Composite
Score
+91
Emotional
Footprint
94
Reviews
Reviews Say
Compared to Google BigQuery, Snowflake is:
More Inspiring
More Reliable
More Innovative
Worse at Support
Less Caring
Less Efficient
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake is available globally on AWS, Azure and Google Cloud Platform. With a common and interchangeable code base, Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
Amazon
Amazon Redshift
8.7
Composite
Score
+92
Emotional
Footprint
112
Reviews
Reviews Say
Compared to Google BigQuery, Amazon Redshift is:
More Reliable
More Innovative
More Transparent
More Inspiring
Harder to Use
Worse at Support
Amazon Redshift is used to modernize data analytics workloads and deliver insights into businesses. With a fully managed, AI powered, massively parallel processing (MPP) architecture, Amazon Redshift drives business decision making quickly and cost effectively. Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver optimal performance at any scale.
Oracle
Oracle Exadata
8.2
Composite
Score
+96
Emotional
Footprint
30
Reviews
Reviews Say
Compared to Google BigQuery, Oracle Exadata is:
More Reliable
More Inspiring
More Transparent
More Innovative
More Respectful
Harder to Implement
Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs unique optimizations that let transaction processing, analytics, artificial intelligence, and mixed workloads run faster and more efficiently. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase operational efficiency, reduce IT administration, and lower costs.
SAP
SAP HANA Cloud
7.9
Composite
Score
+87
Emotional
Footprint
42
Reviews
Reviews Say
Compared to Google BigQuery, SAP HANA Cloud is:
More Reliable
Worse at Support
Less Efficient
Less Caring
Harder to Implement
Harder to Use
Harness the power of your data and accelerate trusted outcome-driven innovation by developing intelligent and live solutions for real-time decisions and actions on a single data copy. Support next-generation transactional and analytical processing with a broad set of advanced analytics – run securely across hybrid and multicloud environments.
Cloudera
Cloudera Data Platform
7.7
Composite
Score
+87
Emotional
Footprint
49
Reviews
Reviews Say
Compared to Google BigQuery, Cloudera Data Platform is:
More Inspiring
Worse at Support
Less Efficient
Less Caring
Less Respectful
Harder to Implement
Cloudera Data Platform is a hybrid data platform designed for unmatched freedom to choose—any cloud, any analytics, any data. Cloudera delivers fast and easy data management and data analytics for data anywhere, with optimal performance, scalability, and security. Cloudera offers the highest performance and lowest cost platform for using data to drive better business outcomes.
SAS Institute Inc.
Base SAS
7.7
Composite
Score
+91
Emotional
Footprint
29
Reviews
Reviews Say
Compared to Google BigQuery, Base SAS is:
More Reliable
More Respectful
More Efficient
More Innovative
Worse at Support
Harder to Use
Base SAS Software delivers flexible, extensible 4GL and web-based interface for data access, transformation, and reporting. Based on an open, cross-platform architecture, Base SAS is hardware-agile and integrates into any computing infrastructure, enabling you to unify computing efforts and get a single view of your data. From small data issues to large complex data problems, programmers can read, format, analyze and report on data quickly, regardless of format.
Cisco Systems
Splunk Cloud Platform
7.5
Composite
Score
+87
Emotional
Footprint
17
Reviews
Reviews Say
Compared to Google BigQuery, Splunk Cloud Platform is:
More Reliable
Less Innovative
Harder to Use
Harder to Implement
Worse at Support
Worse at Integrating
Splunk Cloud Platform, the Splunk platform capabilities delivered as a service, enables you to make confident decisions and take decisive action on insights from your data without needing to purchase, manage or deploy infrastructure. Splunk Cloud Platform transforms user productivity with streaming, search, analytics, visualization and mobile capabilities, changing the ways users work and interact with data to solve cloudscale problems.
Microsoft Corporation
Microsoft Azure Synapse Analytics
7.5
Composite
Score
+84
Emotional
Footprint
64
Reviews
Reviews Say
Compared to Google BigQuery, Microsoft Azure Synapse Analytics is:
Harder to Implement
Harder to Use
Worse at Support
Less Reliable
Harder to Customize
Worse at Training
Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
OpenText Corporation
Vertica Analytics Platform
7.5
Composite
Score
+84
Emotional
Footprint
28
Reviews
Reviews Say
Compared to Google BigQuery, Vertica Analytics Platform is:
Worse at Support
Worse at Training
Less Inspiring
Harder to Implement
Worse at Integrating
Harder to Use
OpenText Vertica Data Platform is an analytical database that can tap into any data, at any scale, anywhere. It allows organizations to modernize their data warehouse, deploy their analytics in a hybrid-cloud environment, and democratize data and analytics. Vertica is designed for scalability and efficiency from the ground up, lowering organizations’ TCO and minimizing server requirements.
IBM
IBM Netezza Performance Server
7.4
Composite
Score
+82
Emotional
Footprint
10
Reviews
Reviews Say
Compared to Google BigQuery, IBM Netezza Performance Server is:
Less Respectful
Worse at Support
Less Efficient
Harder to Customize
Less Reliable
Less Innovative
IBM Netezza Performance Server is the advanced cloud-native data warehouse designed for unified, scalable analytics and insights available anywhere. Built with data lake and watsonx.data integration, Netezza Performance Server empowers you to run highly complex queries and machine learning to support critical business decisions across your organization.
Teradata
Teradata VantageCloud
7.1
Composite
Score
+81
Emotional
Footprint
20
Reviews
Reviews Say
Compared to Google BigQuery, Teradata VantageCloud is:
Less Efficient
Less Respectful
Less Caring
Less Innovative
Worse at Integrating
Worse at Support
Teradata Vantage is the cloud data analytics platform that unifies everything - data lakes, data warehouses, analytics, and new data sources and types. Leading the way with hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of your business. Vantage's enterprise-grade, multidimensional scalability lets you scale dimensions simultaneously to handle the massive data workloads of the future, today.
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