# AWS Data Pipeline vs Google Cloud BigQuery Comparison
---
## AI Generated Summary
- **G2 reviewers report** that Google Cloud BigQuery excels in scalability and performance, allowing users to manage millions of data points without compromising query speed. This is particularly beneficial for organizations that require robust data handling capabilities.
- **Users say** that AWS Data Pipeline offers a user-friendly interface with its drag-and-drop functionality, making it easy to build and manage data workflows. This feature is especially appreciated by those who need to run complex map-reduce jobs seamlessly.
- **According to verified reviews** , Google Cloud BigQuery's integration capabilities are a standout feature, as it connects effortlessly with various services, both on-premises and cloud-based. This flexibility is a significant advantage for teams looking to streamline their data processes.
- **Reviewers mention** that while AWS Data Pipeline integrates well with EMR and supports automation through CloudFormation, some users have experienced challenges with setup and configuration, which can hinder the initial user experience.
- **G2 reviewers highlight** that Google Cloud BigQuery's recent enhancements, including AI features, have transformed it into a more intuitive data warehouse solution, making it feel more accessible and user-friendly for data analysts.
- **Users report** that both platforms provide quality support, but Google Cloud BigQuery has a slight edge in overall satisfaction, with users appreciating its responsive service and commitment to product direction, which fosters confidence in long-term usage.



| | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Star Rating** | 4.1 out of 5 | 4.5 out of 5 | 
| **Total Reviews** | 24 | 1,226 | 
| **Largest Market Segment** | Mid-Market (61.9% of reviews) | Enterprise (38.4% of reviews) | 
| **Entry Level Price** | No pricing available | Free | 

---
## Top Pros & Cons

### AWS Data Pipeline

**Not enough data**

### Google Cloud BigQuery

Pros:
- Ease of Use (129 reviews)
- Speed (126 reviews)

Cons:
- Expensive (112 reviews)
- Query Issues (65 reviews)

---
## Ratings Comparison
| Rating | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
  | **Meets Requirements** | 9.1 (18 reviews) | 8.8 (625 reviews) | 
  | **Ease of Use** | 8.6 (18 reviews) | 8.7 (642 reviews) | 
  | **Ease of Setup** | 6.9 (7 reviews) | 8.7 (414 reviews) | 
  | **Ease of Admin** | 6.9 (7 reviews) | 8.5 (225 reviews) | 
  | **Quality of Support** | 8.3 (17 reviews) | 8.3 (567 reviews) | 
  | **Has the product been a good partner in doing business?** | 7.4 (7 reviews) | 8.6 (219 reviews) | 
  | **Product Direction (% positive)** | 6.1 (18 reviews) | 9.3 (610 reviews) | 

---
## Pricing

### AWS Data Pipeline

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

### Google Cloud BigQuery

#### Entry-Level Pricing

Plan: Free

Price: Free

Description: New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up. 

Key Features:
- 10 GB storage
- Up to 1 TB queries per month

[Browse all 5 editions](https://www.g2.com/products/google-cloud-bigquery/pricing)

#### Free Trial

Yes

---
## Features Comparison By Category

### ETL Tools

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | 8.9/10 | 129 |

#### Management

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Reporting** | Not enough data | 8.5 (114 reviews) | 
| **Auditing** | Not enough data | 8.3 (112 reviews) | 

#### Functionality

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Extraction** | Not enough data | 8.9 (113 reviews) | 
| **Transformation** | Not enough data | 9.1 (116 reviews) | 
| **Loading** | Not enough data | 9.0 (117 reviews) | 
| **Automation** | Not enough data | 8.8 (117 reviews) | 
| **Scalability** | Not enough data | 9.3 (115 reviews) | 

### Data Warehouse

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | 8.6/10 | 271 |

#### Data Management

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Data Integration** | Not enough data | 8.9 (219 reviews) ✓ Verified | 
| **Data Compression** | Not enough data | 8.2 (200 reviews) ✓ Verified | 
| **Data Quality** | Not enough data | 8.8 (208 reviews) ✓ Verified | 
| **Built-In Data Analytics** | Not enough data | 8.5 (211 reviews) ✓ Verified | 
| **In-Database Machine Learning** | Not enough data | 8.2 (194 reviews) ✓ Verified | 
| **Data Lake Analytics** | Not enough data | 8.6 (191 reviews) ✓ Verified | 

#### Integration

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **AI/ ML Integration** | Not enough data | 8.5 (195 reviews) ✓ Verified | 
| **BI Tool Integration** | Not enough data | 8.5 (208 reviews) ✓ Verified | 
| **Data lake Integration** | Not enough data | 8.5 (191 reviews) ✓ Verified | 

#### Deployment

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **On-Premise** | Not enough data | 7.7 (177 reviews) ✓ Verified | 
| **Cloud** | Not enough data | 9.1 (218 reviews) ✓ Verified | 

#### Performance 

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Scalability** | Not enough data | 9.1 (230 reviews) ✓ Verified | 

#### Security

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Data Governance** | Not enough data | 8.8 (199 reviews) ✓ Verified | 
| **Data Security** | Not enough data | 9.1 (206 reviews) ✓ Verified | 

#### Generative AI

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **AI Text Generation** | Not enough data | 7.5 (117 reviews) | 
| **AI Text Summarization** | Not enough data | 7.6 (114 reviews) | 

### Columnar Databases

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | 8.7/10 | 77 |

#### Storage

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Data Model** | Not enough data | 9.0 (66 reviews) | 
| **Data Types** | Not enough data | 8.7 (66 reviews) | 

#### Availability

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Auto Sharding** | Not enough data | 8.3 (58 reviews) | 
| **Auto Recovery** | Not enough data | 8.5 (62 reviews) | 
| **Data Replication** | Not enough data | 8.5 (64 reviews) | 

#### Performance

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Integrated Cache** | Not enough data | 8.5 (61 reviews) | 

#### Security

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Role-Based Authorization** | Not enough data | 8.7 (67 reviews) | 
| **Authentication** | Not enough data | 8.7 (65 reviews) | 
| **Audit Logs** | Not enough data | 8.4 (66 reviews) | 
| **Encryption** | Not enough data | 8.6 (61 reviews) | 

#### Support

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Multi-Model** | Not enough data | 8.7 (62 reviews) | 
| **Operating Systems** | Not enough data | 8.8 (62 reviews) | 

### Data Clean Room

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | 9.0/10 | 25 |

#### Centralized computation

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Centralized Computation** | Not enough data | 8.8 (20 reviews) | 

#### Localized computation

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Localized computation** | Not enough data | 8.2 (21 reviews) | 

### Predictive Analytics

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | 8.6/10 | 81 |

#### Statistical Tool

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Scripting** | Not enough data | 8.6 (75 reviews) | 
| **Data Mining** | Not enough data | 8.9 (75 reviews) | 
| **Algorithms** | Not enough data | 8.8 (77 reviews) | 

#### Data Analysis

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Analysis** | Not enough data | 9.2 (76 reviews) | 
| **Data Interaction** | Not enough data | 9.1 (76 reviews) | 

#### Decision Making

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Modeling** | Not enough data | 8.8 (77 reviews) | 
| **Data Visualizations** | Not enough data | 8.7 (74 reviews) | 
| **Report Generation** | Not enough data | 8.7 (77 reviews) | 
| **Data Unification** | Not enough data | 8.7 (74 reviews) | 

#### Generative AI

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **AI Text Generation** | Not enough data | 7.5 (47 reviews) | 
| **AI Text Summarization** | Not enough data | 7.7 (47 reviews) | 

### Marketing Analytics

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | 8.9/10 | 71 |

#### Marketing Operations

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **ROI Tracking** | Not enough data | 8.8 (63 reviews) | 
| **Data Collection** | Not enough data | 9.2 (62 reviews) | 
| **Customer Insights** | Not enough data | 9.0 (62 reviews) | 
| **Multi-User Access** | Not enough data | 9.3 (63 reviews) | 
| **Spend Management** | Not enough data | 8.8 (61 reviews) | 
| **White Label** | Not enough data | 8.4 (60 reviews) | 

#### Campaign Activity

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Campaign Insights** | Not enough data | 9.0 (65 reviews) | 
| **Reports and Dashboards** | Not enough data | 9.4 (65 reviews) | 
| **Campaign Stickiness** | Not enough data | 8.6 (62 reviews) | 
| **Multichannel Tracking** | Not enough data | 9.2 (59 reviews) | 
| **Brand Optimization** | Not enough data | 8.9 (60 reviews) | 
| **Predictive Analytics** | Not enough data | 9.0 (62 reviews) | 

#### Agentic AI - Marketing Analytics

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | 8.5 (13 reviews) | 
| **Cross-system Integration** | Not enough data | 9.5 (14 reviews) | 
| **Proactive Assistance** | Not enough data | 8.2 (13 reviews) | 

### Big Data Processing and Distribution

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | 8.7/10 | 207 |

#### Database

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Real-Time Data Collection** | Not enough data | 8.7 (166 reviews) | 
| **Data Distribution** | Not enough data | 8.9 (164 reviews) | 
| **Data Lake** | Not enough data | 8.7 (159 reviews) | 

#### Integrations

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Hadoop Integration** | Not enough data | 8.3 (127 reviews) | 
| **Spark Integration** | Not enough data | 8.5 (124 reviews) | 

#### Platform

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Machine Scaling** | Not enough data | 8.8 (141 reviews) | 
| **Data Preparation** | Not enough data | 8.8 (156 reviews) | 
| **Spark Integration** | Not enough data | 8.5 (124 reviews) | 

#### Processing

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Cloud Processing** | Not enough data | 9.2 (159 reviews) | 
| **Workload Processing** | Not enough data | 9.0 (152 reviews) | 

### Big Data Analytics

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | 8.5/10 | 322 |

#### Data Transformation

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Real-Time Analytics** | Not enough data | 8.8 (279 reviews) | 
| **Data Querying** | Not enough data | 9.3 (288 reviews) | 

#### Connectivity

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Hadoop Integration** | Not enough data | 8.0 (245 reviews) | 
| **Spark Integration** | Not enough data | 8.1 (244 reviews) | 
| **Multi-Source Analysis** | Not enough data | 8.7 (273 reviews) | 
| **Data Lake** | Not enough data | 8.7 (264 reviews) | 

#### Operations

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Data Visualization** | Not enough data | 8.4 (273 reviews) | 
| **Data Workflow** | Not enough data | 8.6 (271 reviews) | 
| **Governed Discovery** | Not enough data | 8.3 (249 reviews) | 
| **Embedded Analytics** | Not enough data | 8.4 (256 reviews) | 
| **Notebooks** | Not enough data | 8.5 (248 reviews) | 

### Big Data

| Product | Score | Reviews |
|---|---|---|
| **AWS Data Pipeline** | N/A | N/A |
| **Google Cloud BigQuery** | N/A | N/A |

#### Building Reports

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Data Transformation** | Not enough data | Not enough data | 
| **Data Modeling** | Not enough data | Not enough data | 
| **WYSIWYG Report Design** | Not enough data | Not enough data | 
| **Integration APIs** | Not enough data | Not enough data | 

#### Platform

| Feature | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Mobile User Support** | Not enough data | Not enough data | 
| **Customization ** | Not enough data | Not enough data | 
| **User, Role, and Access Management** | Not enough data | Not enough data | 
| **Internationalization** | Not enough data | Not enough data | 
| **Sandbox / Test Environments** | Not enough data | Not enough data | 
| **Performance and Reliability** | Not enough data | Not enough data | 
| **Breadth of Partner Applications** | Not enough data | Not enough data | 

---
## Categories
**Shared Categories (1):** [ETL Tools](https://www.g2.com/categories/etl-tools)


**Unique to Google Cloud BigQuery (8):** [Columnar Databases](https://www.g2.com/categories/columnar-databases), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms), [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics), [Marketing Analytics Software](https://www.g2.com/categories/marketing-analytics), [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics), [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse), [Data Clean Room Software](https://www.g2.com/categories/data-clean-room)


---
## Reviewer Demographics

### By Company Size

| Segment | AWS Data Pipeline | Google Cloud BigQuery | 
|---|---|---|
| **Small-Business** | 14.3% | 27.5% | 
| **Mid-Market** | 61.9% | 34.1% | 
| **Enterprise** | 23.8% | 38.4% | 

### By Industry

#### AWS Data Pipeline

- **Computer Software:** 23.8%
- **Telecommunications:** 14.3%
- **Information Technology and Services:** 9.5%
- **Financial Services:** 9.5%
- **Sports:** 4.8%
- **Marketing and Advertising:** 4.8%
- **Internet:** 4.8%
- **Insurance:** 4.8%
- **Higher Education:** 4.8%
- **Education Management:** 4.8%
- **Other:** 14.3%

#### Google Cloud BigQuery

- **Information Technology and Services:** 15.2%
- **Computer Software:** 13.6%
- **Retail:** 7.1%
- **Financial Services:** 6.6%
- **Marketing and Advertising:** 5.2%
- **Consulting:** 3.5%
- **Telecommunications:** 2.8%
- **Banking:** 2.6%
- **Computer & Network Security:** 2.2%
- **Hospital & Health Care:** 1.9%
- **Other:** 39.1%

---
## Alternatives

### Alternatives to AWS Data Pipeline

- [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) — 4.6/5 stars (100 reviews)
- [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) — 4.2/5 stars (26 reviews)
- [Fivetran](https://www.g2.com/products/fivetran/reviews) — 4.3/5 stars (795 reviews)
- [Workato](https://www.g2.com/products/workato/reviews) — 4.7/5 stars (757 reviews)
- [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (800 reviews)
- [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) — 4.4/5 stars (398 reviews)
- [Supermetrics](https://www.g2.com/products/supermetrics/reviews) — 4.4/5 stars (823 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (815 reviews)
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- [Celigo](https://www.g2.com/products/celigo/reviews) — 4.6/5 stars (1052 reviews)

### Alternatives to Google Cloud BigQuery

- [Snowflake](https://www.g2.com/products/snowflake/reviews) — 4.5/5 stars (755 reviews)
- [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (800 reviews)
- [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) — 4.1/5 stars (136 reviews)
- [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) — 4.3/5 stars (402 reviews)
- [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) — 4.3/5 stars (375 reviews)
- [OpenText Vertica](https://www.g2.com/products/opentext-vertica/reviews) — 4.3/5 stars (216 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (815 reviews)
- [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) — 4.1/5 stars (682 reviews)
- [Qubole](https://www.g2.com/products/qubole/reviews) — 4.0/5 stars (259 reviews)
- [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) — 4.4/5 stars (2283 reviews)

---
## Top Discussions

### AWS Data Pipeline

No discussions available for this product.

### Google Cloud BigQuery

- Title: [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) — 3 comments, 1 upvote
  > **Top comment:** "my cloud software store "
- Title: [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) — 2 comments, 2 upvotes
  > **Top comment:** "Yes, bigquery is part of google cloud platform."
- Title: [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) — 1 comment
  > **Top comment:** "Dremel: The Execution Engine
Colossus: Distributed Storage
Borg: Compute
Jupiter: The Network
"
- Title: [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) — 1 comment
  > **Top comment:** "BigQuery is a powerful tool for organizations that need to analyze large datasets quickly and effectively and can be used for a variety of purposes depending..."
- Title: [When we can integrate](https://www.g2.com/discussions/when-we-can-integrate) — 1 comment, 1 upvote
  > **Top comment:** "Hi Pankaj, what kind of integration do you want to make?"

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/aws-data-pipeline-vs-google-cloud-bigquery)