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# Amazon EMR vs Google Cloud Dataflow Comparison - What are their main differences?

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Amazon EMRGoogle Cloud Dataflow[+ Add Product](#)

Pricing

**Amazon EMR**
No pricing available

**Google Cloud Dataflow**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Amazon EMR**
2 months

Based on 6 responses

**Google Cloud Dataflow**
Not enough reviews yet

Return on Investment

**Amazon EMR**
15 months

Based on 5 responses

**Google Cloud Dataflow**
Not enough reviews yet

Perceived Cost

**Amazon EMR**
$$$$$

**Google Cloud Dataflow**
$$$$$

Average Discount

**Amazon EMR**
Not enough reviews yet

**Google Cloud Dataflow**
Not enough reviews yet

**Pros & Cons**
from reviews

**Amazon EMR**
[
Data Integration (1)
](https://www.g2.com/products/amazon-emr/reviews?filters%5Bsentiment_snippet%5D=1956769&qs=pros-and-cons#reviews)[
Ease of Use (1)
](https://www.g2.com/products/amazon-emr/reviews?filters%5Bsentiment_snippet%5D=2453089&qs=pros-and-cons#reviews)[
Performance Issues (1)
](https://www.g2.com/products/amazon-emr/reviews?filters%5Bsentiment_snippet%5D=2453094&qs=pros-and-cons#reviews)[
Poor Performance (1)
](https://www.g2.com/products/amazon-emr/reviews?filters%5Bsentiment_snippet%5D=1956776&qs=pros-and-cons#reviews)

**Google Cloud Dataflow**
[
Analytics (1)
](https://www.g2.com/products/google-cloud-dataflow/reviews?filters%5Bsentiment_snippet%5D=1866910&qs=pros-and-cons#reviews)[
Ease of Use (1)
](https://www.g2.com/products/google-cloud-dataflow/reviews?filters%5Bsentiment_snippet%5D=1866521&qs=pros-and-cons#reviews)[
Cost Management (1)
](https://www.g2.com/products/google-cloud-dataflow/reviews?filters%5Bsentiment_snippet%5D=2034355&qs=pros-and-cons#reviews)[
Expensive (1)
](https://www.g2.com/products/google-cloud-dataflow/reviews?filters%5Bsentiment_snippet%5D=2034357&qs=pros-and-cons#reviews)

Integrations

**Amazon EMR**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-cloudwatch.jpg "Product Avatar Image")

Amazon CloudWatch

](https://www.g2.com/products/amazon-cloudwatch/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_cacdec8b8edeace9b3c89e0c2cded695/amazon-s3-glacier.jpg "Product Avatar Image")

Amazon S3 Glacier

](https://www.g2.com/products/amazon-s3-glacier/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-simple-email-service-amazon-ses.jpg "Product Avatar Image")

Amazon

](https://www.g2.com/products/amazon-simple-email-service-amazon-ses/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/aws-glue.jpg "Product Avatar Image")

AWS Glue

](https://www.g2.com/products/aws-glue/reviews)[
View all
](https://www.g2.com/products/amazon-emr/integrations)

**Google Cloud Dataflow**
Not enough data

**Ratings**
from reviews

Meets Requirements

**Amazon EMR**

8.7

8.755

**Google Cloud Dataflow**

9.0

9.024

Ease of Use

**Amazon EMR**

8.3

8.354

**Google Cloud Dataflow**

8.1

8.124

Ease of Setup

**Amazon EMR**

8.6

8.627

**Google Cloud Dataflow**

7.9

7.97

Ease of Admin

**Amazon EMR**

8.6

8.622

**Google Cloud Dataflow**

8.0

8.05

Quality of Support

**Amazon EMR**

8.3

8.353

**Google Cloud Dataflow**

8.3

8.321

Has the product been a good partner in doing business?

**Amazon EMR**

8.9

8.922

**Google Cloud Dataflow**

9.0

9.05

Product Direction (% positive)

**Amazon EMR**

8.1

8.148

**Google Cloud Dataflow**

9.0

9.023

**Features**
ratings from reviews

Big Data Processing and Distribution[Hide 10 FeaturesShow 10 Features](javascript:void(0);)

8.8

43

8.2

15

Database

Real-Time Data Collection

8.2

28

8.3(won by 0.1)

11

Data Distribution

8.7

34

8.9(won by 0.2)

11

Data Lake

8.5(tied score)

9

8.5(tied score)

10

Integrations

Hadoop Integration

9.0(won by 2.1)

34

 (There is a greater than 0.5 difference between this product's rating and its competitors)

6.9

7

Spark Integration

9.0(won by 2.1)

34

 (There is a greater than 0.5 difference between this product's rating and its competitors)

6.9

8

Platform

Machine Scaling

8.7

28

8.8(won by 0.1)

11

Data Preparation

8.8(won by 0.2)

34

8.6

12

Spark Integration

9.0(won by 2.1)

34

 (There is a greater than 0.5 difference between this product's rating and its competitors)

6.9

8

Processing

Cloud Processing

9.1(won by 0.2)

33

8.9

12

Workload Processing

8.7

33

9.2(won by 0.5)

10

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Event Stream Processing[Hide 5 FeaturesShow 5 Features](javascript:void(0);)

Not enough data

9.3

8

Data

Data Processing

Not enough data

9.8(won by default)

7

Data Sources

Not enough data

9.6(won by default)

8

Integration

Not enough data

9.3(won by default)

7

Real-Time Processing

Not enough data

9.6(won by default)

8

Analytics

Reporting & Analytics

Not enough data

8.3(won by default)

5

Show 1 feature category with incomplete data

Big Data[Hide 17 FeaturesShow 17 Features](javascript:void(0);)

Not enough data

Not enough data

Building Reports

Integration APIs

Not enough data

Not enough data

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

Real-Time Data

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Platform

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

Mobile Access

Not enough data

Not enough data

Metadata Management

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![Amazon EMR](https://images.g2crowd.com/uploads/product/hd_favicon/1528476487/amazon-emr.svg "Amazon EMR")](https://www.g2.com/products/amazon-emr/reviews)

Amazon EMR

Small-Business(50 or fewer emp.)

21.0%

Mid-Market(51-1000 emp.)

21.0%

Enterprise(\> 1000 emp.)

58.1%

[![Google Cloud Dataflow](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0c51d2c2e5f85fe45126eb818f748267/google-cloud-dataflow.png "Google Cloud Dataflow")](https://www.g2.com/products/google-cloud-dataflow/reviews)

Google Cloud Dataflow

Small-Business(50 or fewer emp.)

33.3%

Mid-Market(51-1000 emp.)

33.3%

Enterprise(\> 1000 emp.)

33.3%

Small-Business

(50 or fewer emp.)

21.0%

33.3%

Mid-Market

(51-1000 emp.)

21.0%

33.3%

Enterprise

(\> 1000 emp.)

58.1%

33.3%

Reviewers' Industry

[![Amazon EMR](https://images.g2crowd.com/uploads/product/hd_favicon/1528476487/amazon-emr.svg "Amazon EMR")](https://www.g2.com/products/amazon-emr/reviews)
Amazon EMR

Financial Services

23.0%

Computer Software

21.3%

Information Technology and Services

14.8%

Retail

4.9%

Biotechnology

3.3%

Other

32.8%

[![Google Cloud Dataflow](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0c51d2c2e5f85fe45126eb818f748267/google-cloud-dataflow.png "Google Cloud Dataflow")](https://www.g2.com/products/google-cloud-dataflow/reviews)
Google Cloud Dataflow

Computer Software

11.9%

Internet

7.1%

Entertainment

7.1%

Higher Education

4.8%

Hospital & Health Care

4.8%

Other

64.3%

FAQs

## Amazon EMR vs Google Cloud Dataflow FAQs

Generated using AI

Last updated: August 15, 2026

### What is the difference between Amazon EMR vs Google Cloud Dataflow?

Amazon EMR and Google Cloud Dataflow are both rated 4.2/5 by G2 reviewers, but Amazon EMR is noted for its integration with AWS services and Spark performance, while Google Cloud Dataflow is highlighted for its fully managed, serverless data processing and Apache Beam support.

| [Amazon EMR](https://www.g2.com/products/amazon-emr/reviews) | [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews) |
| --- | --- |
| 4.2/5 (70 reviews) | 4.2/5 (45 reviews) |
| Enterprise | Enterprise |
| 8.6 | 7.9 |
| 8.3 | 8.3 |
| Integration with AWS services and Spark performance | Fully managed, serverless processing and Apache Beam support |

### How do the pricing models of Amazon EMR and Google Cloud Dataflow compare?

Amazon EMR and Google Cloud Dataflow are rated at parity for value, with both products scoring similarly on price satisfaction in G2 reviews.

- **Amazon EMR:** Reviewers highlight cost savings through features like auto-termination and spot instances, but note that costs can rise if clusters are not managed carefully.
- **Google Cloud Dataflow:** Reviewers mention that Dataflow can be costly if not configured properly, and cost management requires attention, especially for large-scale or streaming workloads.

### What are the best alternatives to Amazon EMR and Google Cloud Dataflow?

The top three alternatives to Amazon EMR and Google Cloud Dataflow are Databricks, Snowflake, and Apache Kafka.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Amazon EMR](https://www.g2.com/products/amazon-emr/reviews) | 4.2/5 (70) | Enterprise | Reviewers highlight cost savings with spot instances and auto-termination | Integration with AWS services and Spark performance |
| [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews) | 4.2/5 (45) | Enterprise | Reviewers note potential high costs if not configured properly | Fully managed, serverless processing and Apache Beam support |
| [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5 (1366) | Enterprise | — | Unified analytics platform with strong collaboration features |
| [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5 (763) | Mid-Market | — | Scalable cloud data warehousing and ease of use |
| [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) | 4.5/5 (132) | Enterprise | — | High-throughput real-time data streaming |

### Which Big Data Processing and Distribution features should I prioritize when comparing Amazon EMR and Google Cloud Dataflow?

Buyers should prioritize ease of setup, integration capabilities, scalability, cost management, and support for distributed processing frameworks when comparing Amazon EMR and Google Cloud Dataflow.

- **Ease of Setup:** Amazon EMR scores 8.6, Google Cloud Dataflow scores 7.9.
- **Integration Capabilities:** Amazon EMR is frequently cited for integration with AWS services and Spark; Google Cloud Dataflow is noted for integration with Google Cloud services and Apache Beam.
- **Scalability:** Both products are praised for handling large-scale data processing, with Amazon EMR supporting auto-scaling and Google Cloud Dataflow offering serverless scaling.
- **Cost Management:** Reviewers for both products mention the importance of managing costs, with Amazon EMR offering spot instances and auto-termination, and Google Cloud Dataflow requiring careful configuration to avoid high costs.
- **Support for Distributed Processing Frameworks:** Amazon EMR supports Spark, Hadoop, Hive, and more; Google Cloud Dataflow is built around Apache Beam for both batch and streaming workloads.

### What are the pros and cons of Amazon EMR vs Google Cloud Dataflow?

Amazon EMR's headline strength is its integration with AWS services and Spark performance, while Google Cloud Dataflow excels with fully managed, serverless processing and Apache Beam support.

- **Amazon EMR strengths:** Integration with AWS services and Spark performance (all-time mentions: 1), ease of use (all-time mentions: 1), efficient handling of large datasets (all-time mentions: 1).
- **Amazon EMR trade-offs:** Reviewers note performance issues (all-time mentions: 1), slow performance (all-time mentions: 1), and complexity in cluster configuration and optimization.
- **Google Cloud Dataflow strengths:** Real-time analytics and processing (all-time mentions: 1), ease of use (all-time mentions: 1), easy management (all-time mentions: 1), strong integration with Google Cloud services and Apache Beam.
- **Google Cloud Dataflow trade-offs:** Reviewers mention cost management challenges (all-time mentions: 1), expensive pricing (all-time mentions: 1), installation and learning difficulty (all-time mentions: 1), and limited documentation for some SDKs.

### Is Amazon EMR or Google Cloud Dataflow better for small businesses?

Both Amazon EMR and Google Cloud Dataflow are primarily used by enterprise customers, with no clear small-business segment leader in G2 data.

- **Amazon EMR:** Largest segment is Enterprise; reviewers highlight ease of use and integration with AWS, but note a learning curve for new users.
- **Google Cloud Dataflow:** Largest segment is Enterprise; reviewers mention ease of management and serverless operation, but also cite complexity for beginners and cost management as considerations.

### Which Big Data Processing and Distribution platform has better integrations?

Google Cloud Dataflow is favored by reviewers for integrations, with more recent mentions of integration capabilities.

- **Amazon EMR:** Reviewers cite integration with AWS services such as S3 and Airflow in recent reviews.
- **Google Cloud Dataflow:** Reviewers mention integration with Google Cloud services, Apache Beam, BigQuery, Pub/Sub, and Kafka in recent reviews.

### How do Amazon EMR and Google Cloud Dataflow compare on customer support?

Amazon EMR and Google Cloud Dataflow are rated at parity for Quality of Support, both scoring 8.3 in G2 reviews.

- **Amazon EMR:** Reviewers describe support as straightforward and responsive, though some note challenges with debugging and support ticket resolution.
- **Google Cloud Dataflow:** Reviewers report positive experiences with support, highlighting helpfulness and responsiveness, but also mention limited documentation and resources for troubleshooting.

### Which is easier to implement, Amazon EMR or Google Cloud Dataflow?

Amazon EMR scores higher on Ease of Setup (8.6 vs 7.9), making it easier to implement than Google Cloud Dataflow according to G2 reviewers.

- **Amazon EMR:** Reviewers consistently describe setup as straightforward, with a user-friendly UI and quick cluster launch, though some note a learning curve for advanced configuration.
- **Google Cloud Dataflow:** Reviewers mention that setup is generally easy for basic use cases, but complexity increases for advanced configurations and beginners may face a steeper learning curve.

Alternatives

**Amazon EMR Alternatives**

 ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks")

[
Databricks
](/products/databricks/reviews)

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

[
Snowflake
](/products/snowflake/reviews)

 ![Qubole](https://images.g2crowd.com/uploads/product/hd_favicon/1542306394/qubole.svg "Qubole")

[
Qubole
](/products/qubole/reviews)

 ![Google Cloud Managed Service for Apache Spark](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0c51d2c2e5f85fe45126eb818f748267/google-cloud-managed-service-for-apache-spark.png "Google Cloud Managed Service for Apache Spark")

[
Google Cloud Managed Service for Apache Spark
](/products/google-cloud-managed-service-for-apache-spark/reviews)

**Google Cloud Dataflow Alternatives**

 ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks")

[
Databricks
](/products/databricks/reviews)

 ![Apache Kafka](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_809aa88d3571ee805a47d8fb156ba412/apache-kafka.jpg "Apache Kafka")

[
Apache Kafka
](/products/apache-kafka/reviews)

 ![Amazon Kinesis Data Streams](https://images.g2crowd.com/uploads/product/hd_favicon/5383be31b099738701f86724a8b5cf9a/aws-amazon-kinesis-data-streams.svg "Amazon Kinesis Data Streams")

[
Amazon Kinesis Data Streams
](/products/aws-amazon-kinesis-data-streams/reviews)

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

[
Snowflake
](/products/snowflake/reviews)

## Amazon EMR vs Google Cloud Dataflow

When assessing the two solutions, reviewers found Amazon EMR easier to use, set up, and administer. However, reviewers preferred doing business with Google Cloud Dataflow overall.

- Reviewers felt that Google Cloud Dataflow meets the needs of their business better than Amazon EMR.
- When comparing quality of ongoing product support, Amazon EMR and Google Cloud Dataflow provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of Google Cloud Dataflow over Amazon EMR.