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# Apache Beam vs Apache Storm Comparison - What are their main differences?

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Apache BeamApache Storm[+ Add Product](#)

Reviews

**Apache Beam** [

4.1/5(16)

](https://www.g2.com/products/apache-beam/reviews#reviews)

**Apache Storm** [

3.7/5(12)

](https://www.g2.com/products/apache-storm/reviews#reviews)

Pricing

**Apache Beam**
No pricing available

**Apache Storm**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Apache Beam**
Not enough reviews yet

**Apache Storm**
1 month

Based on 7 responses

Return on Investment

**Apache Beam**
Not enough reviews yet

**Apache Storm**
10 months

Based on 6 responses

Perceived Cost

**Apache Beam**
$$$$$

**Apache Storm**
Not enough reviews yet

Average Discount

**Apache Beam**
Not enough reviews yet

**Apache Storm**
Not enough reviews yet

Pros & Cons

**Apache Beam**
Not enough data

**Apache Storm**
Not enough data

Ratings

Meets Requirements

**Apache Beam**

8.6

8.612

**Apache Storm**

7.7

7.78

Ease of Use

**Apache Beam**

7.8

7.812

**Apache Storm**

6.0

6.08

Ease of Setup

**Apache Beam**
Not enough data

**Apache Storm**

6.2

6.27

Ease of Admin

**Apache Beam**
Not enough data

**Apache Storm**

7.2

7.26

Quality of Support

**Apache Beam**

7.6

7.611

**Apache Storm**

7.1

7.18

Has the product been a good partner in doing business?

**Apache Beam**
Not enough data

**Apache Storm**

8.0

8.05

Product Direction (% positive)

**Apache Beam**

8.1

8.112

**Apache Storm**

4.2

4.28

Features

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

7.6

12

Not enough data

Database

Real-Time Data Collection

7.7(won by default)

10

Not enough data

Data Distribution

8.0(won by default)

10

Not enough data

Data Lake

7.1(won by default)

7

Not enough data

Integrations

Hadoop Integration

6.0(won by default)

5

Not enough data

Spark Integration

7.3(won by default)

5

Not enough data

Platform

Machine Scaling

8.3(won by default)

6

Not enough data

Data Preparation

8.1(won by default)

7

Not enough data

Spark Integration

7.3(won by default)

5

Not enough data

Processing

Cloud Processing

8.2(won by default)

10

Not enough data

Workload Processing

8.1(won by default)

7

Not enough data

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

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

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

[![Apache Beam](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_afe4fe6b153c8d5d6028d67bd5a633ab/apache-beam.png "Apache Beam")](https://www.g2.com/products/apache-beam/reviews)

Apache Beam

Small-Business(50 or fewer emp.)

35.7%

Mid-Market(51-1000 emp.)

42.9%

Enterprise(\> 1000 emp.)

21.4%

[![Apache Storm](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b350900e1c1cde239f398145fc13d8f3/apache-storm.jpg "Apache Storm")](https://www.g2.com/products/apache-storm/reviews)

Apache Storm

Small-Business(50 or fewer emp.)

50.0%

Mid-Market(51-1000 emp.)

16.7%

Enterprise(\> 1000 emp.)

33.3%

Small-Business

(50 or fewer emp.)

35.7%

50.0%

Mid-Market

(51-1000 emp.)

42.9%

16.7%

Enterprise

(\> 1000 emp.)

21.4%

33.3%

Reviewers' Industry

[![Apache Beam](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_afe4fe6b153c8d5d6028d67bd5a633ab/apache-beam.png "Apache Beam")](https://www.g2.com/products/apache-beam/reviews)
Apache Beam

Retail

14.3%

Logistics and Supply Chain

14.3%

Information Technology and Services

14.3%

Computer Software

14.3%

Telecommunications

7.1%

Other

35.7%

[![Apache Storm](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b350900e1c1cde239f398145fc13d8f3/apache-storm.jpg "Apache Storm")](https://www.g2.com/products/apache-storm/reviews)
Apache Storm

Hospital & Health Care

16.7%

Online Media

8.3%

Market Research

8.3%

Machinery

8.3%

Information Technology and Services

8.3%

Other

50.0%

FAQs

## Apache Beam vs Apache Storm FAQs

Generated using AI

Last updated: August 15, 2026

### What is the difference between Apache Storm vs Apache Beam?

Apache Beam is rated higher than Apache Storm by G2 reviewers, with Beam's top strength being its unified batch and stream processing, while Storm is noted for real-time processing but faces setup complexity.

| | [Apache Storm](https://www.g2.com/products/apache-storm/reviews) | [Apache Beam](https://www.g2.com/products/apache-beam/reviews) |
| --- | --- | --- |
| G2 Rating (reviews) | 3.7/5 (12 reviews) | 4.1/5 (16 reviews) |
| Ease of Setup score | 6.2 | — |
| Quality of Support score | 7.1 | 7.6 |
| Top Reviewer-Cited Strength | Real-time data processing capabilities | Unified batch and stream processing with strong abstraction |

### How do the pricing models of Apache Storm and Apache Beam compare?

Apache Beam is rated higher on value by reviewers, as reflected in its higher satisfaction scores.

- **Apache Storm:** Reviewers highlight that it is free and open source, but note the time investment required to learn and optimize it.
- **Apache Beam:** Reviewers appreciate its flexibility and unified approach for both batch and stream processing, with positive sentiment on its capabilities and documentation.

### What are the best alternatives to Apache Storm and Apache Beam?

The top 3 alternatives to Apache Storm and Apache Beam are Databricks, Google Cloud Dataflow, and BigQuery.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Apache Storm](https://www.g2.com/products/apache-storm/reviews) | 3.7/5 (12) | — | Free and open source | Real-time data processing capabilities |
| [Apache Beam](https://www.g2.com/products/apache-beam/reviews) | 4.1/5 (16) | — | Open source, flexible for batch and stream | Unified batch and stream processing with strong abstraction |
| [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5 (1366) | Enterprise | — | Advanced analytics and collaborative workspace |
| [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews) | 4.2/5 (45) | Enterprise | — | Managed service for stream and batch data processing |
| [BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5 (1224) | Enterprise | — | Scalable, serverless data warehouse for analytics |

### Which Big Data Processing and Distribution features should I prioritize when comparing Apache Storm and Apache Beam?

Buyers comparing Apache Storm and Apache Beam should prioritize Ease of Use, Quality of Support, Meets Requirements, and Ease of Setup.

- **Ease of Use:** Apache Storm scores 6.0, Apache Beam scores 7.8.
- **Quality of Support:** Apache Storm scores 7.1, Apache Beam scores 7.6.
- **Meets Requirements:** Apache Storm scores 7.7, Apache Beam scores 8.6.
- **Ease of Setup:** Apache Storm scores 6.2; Apache Beam's score is not available.

### What are the pros and cons of Apache Storm vs Apache Beam?

Apache Beam's headline strength is its unified batch and stream processing, while Apache Storm is valued for real-time processing but faces setup and performance trade-offs.

- **Apache Storm strengths:** Real-time data processing, open source, supports multiple programming languages, customizable for various use cases.
- **Apache Storm trade-offs:** Setup complexity, time-consuming thread tuning, performance issues with back pressure, less user-friendly, limited documentation and community support, integration limitations.
- **Apache Beam strengths:** Unified batch and stream processing, strong abstraction for distributed paradigms, flexibility across cloud and on-premise, detailed documentation, efficient for ETL and data pipelines.
- **Apache Beam trade-offs:** Learning curve for new users, complex join operations, limited UI for monitoring, slower for large streaming tasks compared to alternatives like Flink.

### Is Apache Storm or Apache Beam better for small businesses?

Apache Beam is a better fit for small businesses, as reflected in its higher Ease of Use and Meets Requirements scores.

- **Apache Storm:** No largest segment data available; reviewers note the product is free and flexible but highlight a steep learning curve and setup complexity.
- **Apache Beam:** No largest segment data available; reviewers cite ease of use, strong documentation, and suitability for both batch and stream processing as advantages for smaller teams.

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

Apache Beam and Apache Storm are at parity for integrations, as no recent reviewer-cited integration data is available for either product.

- **Apache Storm:** No recent reviewer-cited integrations.
- **Apache Beam:** No recent reviewer-cited integrations.

### How do Apache Storm and Apache Beam compare on customer support?

Apache Beam has a slight advantage in Quality of Support, scoring 7.6 versus Apache Storm's 7.1.

- **Apache Storm:** Reviewers describe support as variable, with some noting limited documentation and community resources.
- **Apache Beam:** Reviewers highlight detailed documentation and generally positive support experiences, with some noting a learning curve for new users.

### Which is easier to implement, Apache Storm or Apache Beam?

Apache Storm and Apache Beam are at parity on Ease of Setup, as only Apache Storm has a reported score and both products receive mixed reviewer feedback on implementation complexity.

- **Apache Storm:** Reviewers frequently mention setup complexity, time-consuming configuration, and the need for prior experience or external help.
- **Apache Beam:** Reviewers note a learning curve but also cite strong documentation and efficient pipeline setup once familiar with the APIs.

Alternatives

**Apache Beam Alternatives**

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

[
Databricks
](/products/databricks/reviews)

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

[
Amazon EMR
](/products/amazon-emr/reviews)

 ![Azure Data Lake Store](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-data-lake-store.jpg "Azure Data Lake Store")

[
Azure Data Lake Store
](/products/azure-data-lake-store/reviews)

 ![Azure HDInsight](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f8a2fdaa6a98b6c3313197f7d8472d1b/azure-hdinsight.jpg "Azure HDInsight")

[
Azure HDInsight
](/products/azure-hdinsight/reviews)

**Apache Storm Alternatives**

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

[
Google Cloud Dataflow
](/products/google-cloud-dataflow/reviews)

 ![Google Cloud BigQuery](https://images.g2crowd.com/uploads/product/hd_favicon/875b8a68eca98ce3458f26e9dd34cdf9/google-cloud-bigquery.svg "Google Cloud BigQuery")

[
BigQuery
](/products/google-cloud-bigquery/reviews)

 ![Microsoft SQL Server](https://images.g2crowd.com/uploads/product/hd_favicon/a8a99a96fda235658139f710592f8a53/microsoft-sql-server.svg "Microsoft SQL Server")

[
MS SQL
](/products/microsoft-sql-server/reviews)

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

[
Databricks
](/products/databricks/reviews)

## Apache Beam vs Apache Storm

- Reviewers felt that Apache Beam meets the needs of their business better than Apache Storm.
- When comparing quality of ongoing product support, reviewers felt that Apache Beam is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Apache Beam over Apache Storm.