Analytical Data Store
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.

8.8

Composite
Score

+90

Emotional
Footprint

79

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

96

Reviews

Reviews Say

Compared to Google BigQuery, Snowflake is:

More Inspiring

More Reliable

More Innovative

Worse at Support

Less Efficient

Harder to Use

Amazon

Amazon Redshift

8.7

Composite
Score

+92

Emotional
Footprint

114

Reviews

Reviews Say

Compared to Google BigQuery, Amazon Redshift is:

More Reliable

More Innovative

More Inspiring

More Transparent

Harder to Use

Worse at Support

Oracle

Oracle Exadata

8.0

Composite
Score

+96

Emotional
Footprint

31

Reviews

Reviews Say

Compared to Google BigQuery, Oracle Exadata is:

More Reliable

More Inspiring

More Transparent

More Innovative

More Respectful

Harder to Implement

SAP

SAP HANA Cloud

7.9

Composite
Score

+88

Emotional
Footprint

43

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

Cloudera

Cloudera Data Platform

7.8

Composite
Score

+88

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

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 Innovative

More Efficient

Worse at Support

Harder to Use

Microsoft Corporation

Microsoft Azure Synapse Analytics

7.6

Composite
Score

+85

Emotional
Footprint

65

Reviews

Reviews Say

Compared to Google BigQuery, Microsoft Azure Synapse Analytics is:

Harder to Implement

Harder to Use

Worse at Support

Harder to Customize

Worse at Integrating

Less Caring

Cisco Systems

Splunk Cloud Platform

7.6

Composite
Score

+88

Emotional
Footprint

18

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

IBM

IBM Netezza Performance Server

7.5

Composite
Score

+84

Emotional
Footprint

11

Reviews

Reviews Say

Compared to Google BigQuery, IBM Netezza Performance Server is:

Less Respectful

Less Efficient

Worse at Support

Harder to Customize

Less Reliable

Harder to Implement

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

Worse at Integrating

Harder to Use

Harder to Implement

Teradata

Teradata VantageCloud

7.2

Composite
Score

+83

Emotional
Footprint

21

Reviews

Reviews Say

Compared to Google BigQuery, Teradata VantageCloud is:

Less Efficient

Less Respectful

Less Innovative

Less Caring

Worse at Integrating

Worse at Support

Most Popular Google BigQuery Comparisons