# Top 10 Azure Synapse Analytics Alternatives &amp; Competitors
**Average Rating:** 4.4/5
**Total Number of Reviews:** 38
Looking for alternatives or competitors to Azure Synapse Analytics? Big Data Analytics Software is a widely used technology, and many people are seeking easily administered, simple software solutions with notebooks, embedded analytics, and spark integration. Other important factors to consider when researching alternatives to Azure Synapse Analytics include storage and performance. The best overall Azure Synapse Analytics alternative is Google Cloud BigQuery. Other similar apps like Azure Synapse Analytics are Snowflake, Databricks, Teradata Autonomous Knowledge Platform, and Cloudera. Azure Synapse Analytics alternatives can be found in [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics) but may also be in [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) or [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution).


## Best Paid &amp; Free Alternatives to Azure Synapse Analytics
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)
  - [Cloudera](https://www.g2.com/products/cloudera/reviews)
  - [Dremio](https://www.g2.com/products/dremio/reviews)
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [Alteryx](https://www.g2.com/products/alteryx/reviews)
  - [MATLAB](https://www.g2.com/products/matlab/reviews)

## Top 10 Alternatives to Azure Synapse Analytics Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Azure Synapse Analytics stacks up to the competition, check reviews from current &amp; previous users in industries like Information Technology and Services, Computer &amp; Network Security, and Consumer Goods, and find the best product for your business.


  ### 1. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 1,226
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.


Reviewers say compared to Azure Synapse Analytics, Google Cloud BigQuery is:
- Easier to do business with
- Easier to set up
Categories in common with Azure Synapse Analytics: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)

**Compare:** [Azure Synapse Analytics vs Google Cloud BigQuery](https://www.g2.com/compare/azure-synapse-analytics-vs-google-cloud-bigquery)
**Compare Google Cloud BigQuery with other alternatives:**
- [Google Cloud BigQuery vs Snowflake](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Google Cloud BigQuery vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform)
- [Google Cloud BigQuery vs Cloudera](https://www.g2.com/compare/cloudera-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Dremio](https://www.g2.com/compare/dremio-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs dbt](https://www.g2.com/compare/google-cloud-bigquery-vs-dbt)
- [Google Cloud BigQuery vs Alteryx](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs MATLAB](https://www.g2.com/compare/google-cloud-bigquery-vs-matlab)

  ### 2. [Snowflake](https://www.g2.com/products/snowflake/reviews)
By Snowflake, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 756
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.


Reviewers say compared to Azure Synapse Analytics, Snowflake is:
- Easier to do business with
- Easier to set up
- Better at meeting requirements
Categories in common with Azure Synapse Analytics: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)

**Compare:** [Azure Synapse Analytics vs Snowflake](https://www.g2.com/compare/azure-synapse-analytics-vs-snowflake)
**Compare Snowflake with other alternatives:**
- [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Snowflake vs Databricks](https://www.g2.com/compare/databricks-vs-snowflake)
- [Snowflake vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform)
- [Snowflake vs Cloudera](https://www.g2.com/compare/cloudera-vs-snowflake)
- [Snowflake vs Dremio](https://www.g2.com/compare/dremio-vs-snowflake)
- [Snowflake vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-snowflake)
- [Snowflake vs dbt](https://www.g2.com/compare/snowflake-vs-dbt)
- [Snowflake vs Alteryx](https://www.g2.com/compare/alteryx-vs-snowflake)
- [Snowflake vs MATLAB](https://www.g2.com/compare/matlab-vs-snowflake)

  ### 3. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,334
Making big data simple


Reviewers say compared to Azure Synapse Analytics, Databricks is:
- Easier to do business with
- Better at meeting requirements
- Better at support
Categories in common with Azure Synapse Analytics: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Azure Synapse Analytics vs Databricks](https://www.g2.com/compare/azure-synapse-analytics-vs-databricks)
**Compare Databricks with other alternatives:**
- [Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Databricks vs Snowflake](https://www.g2.com/compare/databricks-vs-snowflake)
- [Databricks vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform)
- [Databricks vs Cloudera](https://www.g2.com/compare/cloudera-vs-databricks)
- [Databricks vs Dremio](https://www.g2.com/compare/databricks-vs-dremio)
- [Databricks vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-databricks)
- [Databricks vs dbt](https://www.g2.com/compare/databricks-vs-dbt)
- [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks)
- [Databricks vs MATLAB](https://www.g2.com/compare/databricks-vs-matlab)

  ### 4. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)
By Teradata Autonomous Knowledge Platform
**Average Rating:** 4.3/5
**Total Reviews:** 375
Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.


Categories in common with Azure Synapse Analytics: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Azure Synapse Analytics vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/azure-synapse-analytics-vs-teradata-autonomous-knowledge-platform)
**Compare Teradata Autonomous Knowledge Platform with other alternatives:**
- [Teradata Autonomous Knowledge Platform vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Snowflake](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Databricks](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Cloudera](https://www.g2.com/compare/cloudera-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Dremio](https://www.g2.com/compare/dremio-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs dbt](https://www.g2.com/compare/teradata-autonomous-knowledge-platform-vs-dbt)
- [Teradata Autonomous Knowledge Platform vs Alteryx](https://www.g2.com/compare/alteryx-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs MATLAB](https://www.g2.com/compare/matlab-vs-teradata-autonomous-knowledge-platform)

  ### 5. [Cloudera](https://www.g2.com/products/cloudera/reviews)
By Cloudera
**Average Rating:** 4.1/5
**Total Reviews:** 136
Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.


Reviewers say compared to Azure Synapse Analytics, Cloudera is:
- Easier to do business with
Categories in common with Azure Synapse Analytics: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)

**Compare:** [Azure Synapse Analytics vs Cloudera](https://www.g2.com/compare/azure-synapse-analytics-vs-cloudera)
**Compare Cloudera with other alternatives:**
- [Cloudera vs Google Cloud BigQuery](https://www.g2.com/compare/cloudera-vs-google-cloud-bigquery)
- [Cloudera vs Snowflake](https://www.g2.com/compare/cloudera-vs-snowflake)
- [Cloudera vs Databricks](https://www.g2.com/compare/cloudera-vs-databricks)
- [Cloudera vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/cloudera-vs-teradata-autonomous-knowledge-platform)
- [Cloudera vs Dremio](https://www.g2.com/compare/cloudera-vs-dremio)
- [Cloudera vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-cloudera)
- [Cloudera vs dbt](https://www.g2.com/compare/cloudera-vs-dbt)
- [Cloudera vs Alteryx](https://www.g2.com/compare/alteryx-vs-cloudera)
- [Cloudera vs MATLAB](https://www.g2.com/compare/cloudera-vs-matlab)

  ### 6. [Dremio](https://www.g2.com/products/dremio/reviews)
By Dremio
**Average Rating:** 4.6/5
**Total Reviews:** 70
Dremio is a data analysis software. It is self-service data platform provided that users discover, accelerate and share data at any time.


Reviewers say compared to Azure Synapse Analytics, Dremio is:
- Easier to do business with
- More usable
Categories in common with Azure Synapse Analytics: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Azure Synapse Analytics vs Dremio](https://www.g2.com/compare/azure-synapse-analytics-vs-dremio)
**Compare Dremio with other alternatives:**
- [Dremio vs Google Cloud BigQuery](https://www.g2.com/compare/dremio-vs-google-cloud-bigquery)
- [Dremio vs Snowflake](https://www.g2.com/compare/dremio-vs-snowflake)
- [Dremio vs Databricks](https://www.g2.com/compare/databricks-vs-dremio)
- [Dremio vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/dremio-vs-teradata-autonomous-knowledge-platform)
- [Dremio vs Cloudera](https://www.g2.com/compare/cloudera-vs-dremio)
- [Dremio vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-dremio)
- [Dremio vs dbt](https://www.g2.com/compare/dremio-vs-dbt)
- [Dremio vs Alteryx](https://www.g2.com/compare/alteryx-vs-dremio)
- [Dremio vs MATLAB](https://www.g2.com/compare/dremio-vs-matlab)

  ### 7. [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.3/5
**Total Reviews:** 402
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.


Reviewers say compared to Azure Synapse Analytics, Amazon Redshift is:
- Easier to do business with
Categories in common with Azure Synapse Analytics: [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)

**Compare:** [Azure Synapse Analytics vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-azure-synapse-analytics)
**Compare Amazon Redshift with other alternatives:**
- [Amazon Redshift vs Google Cloud BigQuery](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery)
- [Amazon Redshift vs Snowflake](https://www.g2.com/compare/amazon-redshift-vs-snowflake)
- [Amazon Redshift vs Databricks](https://www.g2.com/compare/amazon-redshift-vs-databricks)
- [Amazon Redshift vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-redshift-vs-teradata-autonomous-knowledge-platform)
- [Amazon Redshift vs Cloudera](https://www.g2.com/compare/amazon-redshift-vs-cloudera)
- [Amazon Redshift vs Dremio](https://www.g2.com/compare/amazon-redshift-vs-dremio)
- [Amazon Redshift vs dbt](https://www.g2.com/compare/amazon-redshift-vs-dbt)
- [Amazon Redshift vs Alteryx](https://www.g2.com/compare/alteryx-vs-amazon-redshift)
- [Amazon Redshift vs MATLAB](https://www.g2.com/compare/amazon-redshift-vs-matlab)

  ### 8. [dbt](https://www.g2.com/products/dbt/reviews)
By dbt Labs
**Average Rating:** 4.7/5
**Total Reviews:** 208
dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.


Reviewers say compared to Azure Synapse Analytics, dbt is:
- Better at meeting requirements
- Easier to do business with
- More usable
Categories in common with Azure Synapse Analytics: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)

**Compare:** [Azure Synapse Analytics vs dbt](https://www.g2.com/compare/azure-synapse-analytics-vs-dbt)
**Compare dbt with other alternatives:**
- [dbt vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-dbt)
- [dbt vs Snowflake](https://www.g2.com/compare/snowflake-vs-dbt)
- [dbt vs Databricks](https://www.g2.com/compare/databricks-vs-dbt)
- [dbt vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/teradata-autonomous-knowledge-platform-vs-dbt)
- [dbt vs Cloudera](https://www.g2.com/compare/cloudera-vs-dbt)
- [dbt vs Dremio](https://www.g2.com/compare/dremio-vs-dbt)
- [dbt vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-dbt)
- [dbt vs Alteryx](https://www.g2.com/compare/alteryx-vs-dbt)
- [dbt vs MATLAB](https://www.g2.com/compare/matlab-vs-dbt)

  ### 9. [Alteryx](https://www.g2.com/products/alteryx/reviews)
By Alteryx
**Average Rating:** 4.6/5
**Total Reviews:** 839
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.


Reviewers say compared to Azure Synapse Analytics, Alteryx is:
- Easier to do business with
Categories in common with Azure Synapse Analytics: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)

**Compare:** [Azure Synapse Analytics vs Alteryx](https://www.g2.com/compare/alteryx-vs-azure-synapse-analytics)
**Compare Alteryx with other alternatives:**
- [Alteryx vs Google Cloud BigQuery](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery)
- [Alteryx vs Snowflake](https://www.g2.com/compare/alteryx-vs-snowflake)
- [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks)
- [Alteryx vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/alteryx-vs-teradata-autonomous-knowledge-platform)
- [Alteryx vs Cloudera](https://www.g2.com/compare/alteryx-vs-cloudera)
- [Alteryx vs Dremio](https://www.g2.com/compare/alteryx-vs-dremio)
- [Alteryx vs Amazon Redshift](https://www.g2.com/compare/alteryx-vs-amazon-redshift)
- [Alteryx vs dbt](https://www.g2.com/compare/alteryx-vs-dbt)
- [Alteryx vs MATLAB](https://www.g2.com/compare/alteryx-vs-matlab)

  ### 10. [MATLAB](https://www.g2.com/products/matlab/reviews)
By MathWorks
**Average Rating:** 4.5/5
**Total Reviews:** 771
MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform&#39;s scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.


Reviewers say compared to Azure Synapse Analytics, MATLAB is:
- Better at meeting requirements
- Easier to do business with
Categories in common with Azure Synapse Analytics: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Azure Synapse Analytics vs MATLAB](https://www.g2.com/compare/azure-synapse-analytics-vs-matlab)
**Compare MATLAB with other alternatives:**
- [MATLAB vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-matlab)
- [MATLAB vs Snowflake](https://www.g2.com/compare/matlab-vs-snowflake)
- [MATLAB vs Databricks](https://www.g2.com/compare/databricks-vs-matlab)
- [MATLAB vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/matlab-vs-teradata-autonomous-knowledge-platform)
- [MATLAB vs Cloudera](https://www.g2.com/compare/cloudera-vs-matlab)
- [MATLAB vs Dremio](https://www.g2.com/compare/dremio-vs-matlab)
- [MATLAB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-matlab)
- [MATLAB vs dbt](https://www.g2.com/compare/matlab-vs-dbt)
- [MATLAB vs Alteryx](https://www.g2.com/compare/alteryx-vs-matlab)


---
## Azure Synapse Analytics Alternatives FAQs

### What are the best alternatives to Azure Synapse Analytics?

The best alternatives to Azure Synapse Analytics, according to G2 user reviews and ratings, are [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) (4.5/5 stars, 1227 reviews), [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5 stars, 756 reviews), and [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 stars, 803 reviews). These platforms consistently receive higher ratings and significantly larger review counts compared to Azure Synapse Analytics (4.4/5 stars, 38 reviews), reflecting strong user satisfaction and market adoption.



### How does Azure Synapse Analytics compare to Google Cloud BigQuery?

According to G2 data, [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews) and [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) have comparable overall user satisfaction with average ratings of 4.4/5 (38 reviews) and 4.5/5 (1,227 reviews) respectively. Azure Synapse scores slightly higher in Ease of Admin (8.9 vs 8.5) and Better at Support (8.7 vs 8.3), while BigQuery leads in Easier to Set Up (8.7 vs 8.6) and Easier to Do Business With (8.6 vs 8.3), with differences ranging from 0.2 to 0.6 points. Both platforms excel in scalability, performance, and integration capabilities, with Azure Synapse praised for its unified platform combining data warehousing, big data, and machine learning within a single workspace, and BigQuery noted for its serverless architecture, fast query execution on massive datasets, and seamless integration within the Google Cloud ecosystem. Users highlight Azure Synapse&#39;s flexibility in switching between serverless SQL, dedicated SQL pools, and Spark environments, while BigQuery is favored for its ease of use, speed, and extensive integration with Google services such as Looker Studio and BigQuery ML. Cost management is a challenge for both, with Azure Synapse users noting complexity in cost estimation and BigQuery users frequently citing unpredictable or high costs due to its pay-per-query pricing model. Overall, Azure Synapse is preferred for deployment automation and administration ease, whereas BigQuery is favored for query speed, scalability, and integration within Google Cloud.



### Which Big Data Analytics tools do reviewers recommend instead of Azure Synapse Analytics?

Reviewers recommend [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) for its serverless architecture, fast query performance on massive datasets, ease of use, and seamless integration with Google Cloud services and AI capabilities. [Snowflake](https://www.g2.com/products/snowflake/reviews) is favored for its separation of compute and storage, ease of scaling, secure data sharing, and user-friendly interface that supports multi-cloud environments. [Databricks](https://www.g2.com/products/databricks/reviews) is highly recommended for its unified platform combining data engineering, analytics, and machine learning, collaborative notebooks, and strong Spark integration enabling fast processing of large-scale data. These tools are preferred for their scalability, performance, and comprehensive feature sets that address complex big data analytics needs beyond Azure Synapse Analytics.



### Why do users choose Google Cloud BigQuery over Azure Synapse Analytics?

Users choose [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) over Azure Synapse Analytics primarily for its serverless architecture that eliminates infrastructure management, enabling effortless scaling and fast querying of massive datasets. With over 1,200 reviews highlighting ease of use, speed, and seamless integration with the Google Cloud ecosystem—including tools like Looker Studio, Dataflow, and BigQuery ML—BigQuery supports rapid analytics and machine learning workflows directly within the platform. Its pay-as-you-go pricing model offers cost efficiency for optimized queries, and the familiar SQL interface lowers the learning curve for analysts and developers. Additionally, BigQuery&#39;s ability to handle petabyte-scale data with consistent performance and its extensive support for real-time analytics and federated queries make it attractive for enterprises needing scalable, high-performance data warehousing. Despite concerns about cost unpredictability, users appreciate BigQuery&#39;s fast query execution, robust ecosystem integration, and minimal operational overhead, which collectively drive its preference over Azure Synapse Analytics for large-scale, cloud-native analytics solutions.




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