# Apache NiFi vs IBM StreamSets Comparison

---
## Frequently Asked Questions

### What is the difference between Apache NiFi vs IBM StreamSets?

Apache NiFi stands out for its higher G2 rating and setup/support scores, while IBM StreamSets is noted for its ease of use and integration capabilities.

| [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) | [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) |
| --- | --- |
| 4.2/5 (26 reviews) | 4.0/5 (116 reviews) |
| Enterprise | Enterprise |
| 8.8 | 8.0 |
| 7.4 | 8.0 |
| Highly customizable, robust data flow management | Ease of use and integration (30 and 14 all-time mentions) |



### How do the pricing models of Apache NiFi and IBM StreamSets compare?

Apache NiFi is perceived as the stronger value due to higher satisfaction with price/cost-related dimensions.

- **Apache NiFi:** Reviewers consistently highlight its free, open-source model as a major productivity and cost advantage.
- **IBM StreamSets:** In recent reviews, cost is frequently cited as a concern, especially for smaller teams, with several reviewers mentioning the platform as expensive.
- **Switching reasons:** Recent IBM StreamSets reviewers mention switching from other ETL tools due to its low-code interface and integration capabilities, but cost remains a recurring trade-off.



### What are the best alternatives to Apache NiFi and IBM StreamSets?

The top 3 alternatives to Apache NiFi and IBM StreamSets are Fivetran, SnapLogic, and dbt.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) | 4.2/5 (26) | Enterprise | Free, open-source | Highly customizable, robust data flow management |
| [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) | 4.0/5 (116) | Enterprise | Cost is a concern for smaller teams | Ease of use and integration (30 and 14 all-time mentions) |
| [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5 (828) | Mid-Market | — | Automated data integration |
| [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) | 4.4/5 (406) | Enterprise | — | Enterprise-grade integration capabilities |
| [dbt](https://www.g2.com/products/dbt/reviews) | 4.7/5 (209) | Mid-Market | — | Transformations and analytics engineering |



### Which Big Data Integration Platforms features should I prioritize when comparing Apache NiFi and IBM StreamSets?

Buyers comparing Apache NiFi and IBM StreamSets should prioritize ease of use, integration capabilities, setup experience, support quality, and data pipeline management.

- **Ease of Use:** Apache NiFi 8.3, IBM StreamSets 8.4, with 30 all-time mentions for StreamSets.
- **Integration Capabilities:** IBM StreamSets has 14 all-time mentions for integrations and 9 for connectors; Apache NiFi is frequently cited for its connectors and flexibility in recent reviews.
- **Ease of Setup:** Apache NiFi 8.8, IBM StreamSets 8.0.
- **Quality of Support:** Apache NiFi 7.4, IBM StreamSets 8.0.
- **Data Pipeline Management:** IBM StreamSets has 15 all-time mentions for data pipelining and 15 for data management.



### What are the pros and cons of Apache NiFi vs IBM StreamSets?

Apache NiFi&#39;s headline strength is its robust, customizable data flow management, while IBM StreamSets excels in ease of use and integration capabilities.

- **Apache NiFi strengths:** Highly customizable, robust data flow management, open-source and free, strong for complex workflows and high-throughput environments, praised for its drag-and-drop UI and wide range of connectors.
- **Apache NiFi trade-offs:** Steep learning curve, limited cloud offering, monitoring and cluster management complexity, some scalability and stability issues in large deployments.
- **IBM StreamSets strengths:** Ease of use (30 all-time mentions), intuitive drag-and-drop interface, strong integration and connector support (14 and 9 all-time mentions), effective for both batch and streaming pipelines, automation and monitoring features, low-code/no-code pipeline creation.
- **IBM StreamSets trade-offs:** Cost concerns (10 all-time mentions), learning curve for advanced features (13 all-time mentions), occasional slow performance (8 all-time mentions), and support/documentation gaps for complex scenarios.



### Is Apache NiFi or IBM StreamSets better for small businesses?

Apache NiFi is the better fit for small businesses due to its free, open-source model and positive sentiment around cost and flexibility.

- **Apache NiFi:** Largest segment is Enterprise, but reviewers consistently highlight its cost-effectiveness and suitability for both small and large projects.
- **IBM StreamSets:** Largest segment is Enterprise, and recent reviews cite cost as a barrier for smaller teams, with several reviewers noting the platform is expensive for startups and small businesses.



### Which Big Data Integration Platforms platform has better integrations?

IBM StreamSets is favored for integrations, with 14 all-time mentions for integrations and 9 for connectors.

- **Apache NiFi:** Reviewers frequently cite its wide range of connectors and flexibility for integrating with various data sources, including cloud, Kafka, S3, and Hadoop, in recent reviews.
- **IBM StreamSets:** Integrations and connectors are highlighted in 14 and 9 all-time mentions, with reviewers praising its ability to connect to multiple data sources and destinations, including cloud and on-premise systems.



### How do Apache NiFi and IBM StreamSets compare on customer support?

IBM StreamSets leads on Quality of Support with a 0.6-point advantage (8.0 vs 7.4).

- **Apache NiFi:** Reviewers describe support as community-driven and helpful, but note occasional gaps in documentation and response times.
- **IBM StreamSets:** Reviewers consistently mention reliable customer support, regular follow-ups, and helpful onboarding, with 9 all-time mentions for customer support.



### Which is easier to implement, Apache NiFi or IBM StreamSets?

Apache NiFi scores higher on Ease of Setup by 0.8 points (8.8 vs 8.0), making it easier to implement than IBM StreamSets.

- **Apache NiFi:** Reviewers highlight straightforward installation and configuration, with many citing its drag-and-drop UI and rapid pipeline creation as setup advantages.
- **IBM StreamSets:** Reviewers note a generally easy setup process, especially for basic pipelines, but mention a steeper learning curve for advanced features and some complexity in initial onboarding.



### Which product has better Integration?

IBM StreamSets is favored for Integration, with 14 all-time mentions for integrations and 9 for connectors.

- **Apache NiFi:** Frequently cited for its wide range of connectors and integration flexibility in recent reviews, with a Meets Requirements score of 9.3.
- **IBM StreamSets:** Integrations and connectors are highlighted in 14 and 9 all-time mentions, with a Meets Requirements score of 8.2, and reviewers consistently praise its integration capabilities.



| | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Star Rating** | 4.2 out of 5 | 4.0 out of 5 | 
| **Total Reviews** | 26 | 115 | 
| **Largest Market Segment** | Enterprise (50.0% of reviews) | Enterprise (43.8% of reviews) | 
| **Entry Level Price** | No pricing available | Contact Us | 

---
## Top Pros & Cons

### Apache NiFi

**Not enough data**

### IBM StreamSets

Pros:
- Ease of Use (30 reviews)
- User Interface (16 reviews)

Cons:
- Learning Curve (13 reviews)
- Expensive (10 reviews)

---
## Ratings Comparison
| Rating | Apache NiFi | IBM StreamSets | 
|---|---|---|
  | **Meets Requirements** | 9.3 (21 reviews) | 8.2 (93 reviews) | 
  | **Ease of Use** | 8.3 (21 reviews) | 8.4 (95 reviews) | 
  | **Ease of Setup** | 8.8 (10 reviews) | 8.0 (48 reviews) | 
  | **Ease of Admin** | 8.5 (9 reviews) | 7.8 (34 reviews) | 
  | **Quality of Support** | 7.4 (17 reviews) | 8.0 (94 reviews) | 
  | **Has the product been a good partner in doing business?** | 8.9 (9 reviews) | 8.2 (32 reviews) | 
  | **Product Direction (% positive)** | 7.8 (21 reviews) | 8.2 (91 reviews) | 

---
## Pricing

### Apache NiFi

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

### IBM StreamSets

#### Entry-Level Pricing

Plan: We offer custom StreamSets pricing that best fits your business. Please contact us for further details.  

Price: Contact Us

Description: To try StreamSets for 30 days, start a free trial by visiting 

Key Features:
- https://ibm.biz/IBM_StreamSets_Trial

[Learn more about IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews)

#### Free Trial

Yes

---
## Features Comparison By Category

### Event Stream Processing

| Product | Score | Reviews |
|---|---|---|
| **Apache NiFi** | N/A | N/A |
| **IBM StreamSets** | 8.4/10 | 15 |

#### Data

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Data Processing** | Not enough data | 8.2 (15 reviews) | 
| **Data Sources** | Not enough data | 8.0 (14 reviews) | 
| **Integration** | Not enough data | 7.7 (15 reviews) | 
| **Real-Time Processing** | Not enough data | 9.0 (14 reviews) | 

#### Analytics

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Reporting &amp; Analytics** | Not enough data | 7.6 (14 reviews) | 

### Data Extraction

| Product | Score | Reviews |
|---|---|---|
| **Apache NiFi** | N/A | N/A |
| **IBM StreamSets** | 7.8/10 | 33 |

#### Functionality

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Diverse Extraction Points** | Not enough data | 7.7 (32 reviews) | 
| **Data Structuring** | Not enough data | 7.6 (32 reviews) | 
| **Consolidation** | Not enough data | 7.8 (31 reviews) | 
| **Data Cleaning** | Not enough data | 8.0 (31 reviews) | 
| **Cloud Extraction** | Not enough data | 7.7 (31 reviews) | 
| **Visualization** | Not enough data | 7.7 (31 reviews) | 
| **Data Extraction** | Not enough data | Not enough data | 
| **Real-Time Data** | Not enough data | Not enough data | 
| **Image Extraction** | Not enough data | Not enough data | 
| **IP Address Extraction** | Not enough data | Not enough data | 
| **Email Address Extraction** | Not enough data | Not enough data | 
| **Metadata Extraction** | Not enough data | Not enough data | 
| **Document Extraction** | Not enough data | Not enough data | 
| **Phone Number Extraction** | Not enough data | Not enough data | 
| **Auto Extraction** | Not enough data | Not enough data | 
| **IP Address Extraction** | Not enough data | Not enough data | 
| **Email Address Extraction** | Not enough data | Not enough data | 
| **Image Extraction** | Not enough data | Not enough data | 
| **Web Data Extraction** | Not enough data | Not enough data | 

#### Diverse Extraction Points

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Diverse Extraction Points** | Not enough data | 7.7 (32 reviews) | 

#### Additional Functionality

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Data Storage Management** | Not enough data | Not enough data | 
| **Customizable Templates** | Not enough data | Not enough data | 
| **Multiple Data Sources** | Not enough data | Not enough data | 
| **Forecasting** | Not enough data | Not enough data | 
| **Reminders** | Not enough data | Not enough data | 
| **Multi-Language** | Not enough data | Not enough data | 
| **Visual Discovery** | Not enough data | Not enough data | 
| **Mobile Access** | Not enough data | Not enough data | 
| **Rules-Based Workflow** | Not enough data | Not enough data | 
| **API** | Not enough data | Not enough data | 
| **Customizable Forms** | Not enough data | Not enough data | 
| **Drag &amp; Drop** | Not enough data | Not enough data | 
| **Third-Party Integrations** | Not enough data | Not enough data | 
| **Workflow Management** | Not enough data | Not enough data | 
| **Data Mapping** | Not enough data | Not enough data | 
| **Trend Analysis** | Not enough data | Not enough data | 
| **Compliance Management** | Not enough data | Not enough data | 
| **Data Connectors** | Not enough data | Not enough data | 
| **Multi-Channel Distribution** | Not enough data | Not enough data | 
| **Search/Filter** | Not enough data | Not enough data | 
| **Data Transformation** | Not enough data | Not enough data | 
| **Data Import/Export** | Not enough data | Not enough data | 
| **Data Synchronization** | Not enough data | Not enough data | 
| **Reporting/Analytics** | Not enough data | Not enough data | 
| **Surveys &amp; Feedback** | Not enough data | Not enough data | 
| **Customizable Fields** | Not enough data | Not enough data | 
| **Forms Management** | Not enough data | Not enough data | 
| **Multi-Channel Data Collection** | Not enough data | Not enough data | 
| **HIPAA Compliant** | Not enough data | Not enough data | 
| **Metadata Management** | Not enough data | Not enough data | 
| **Secure Data Storage** | Not enough data | Not enough data | 
| **Generative AI** | Not enough data | Not enough data | 
| **Access Controls/Permissions** | Not enough data | Not enough data | 
| **Multi-Device Support** | Not enough data | Not enough data | 
| **AI Copilot** | Not enough data | Not enough data | 
| **Visual Analytics** | Not enough data | Not enough data | 
| **Audience Targeting** | Not enough data | Not enough data | 
| **Offline Response Collection** | Not enough data | Not enough data | 
| **Data Capture and Transfer** | Not enough data | Not enough data | 
| **Customizable Reports** | Not enough data | Not enough data | 
| **Activity Dashboard** | Not enough data | Not enough data | 
| **Dashboard Creation** | Not enough data | Not enough data | 
| **Version Control** | Not enough data | Not enough data | 
| **Query Builder** | Not enough data | Not enough data | 
| **IP Rotation** | Not enough data | Not enough data | 
| **AI/Machine Learning** | Not enough data | Not enough data | 
| **Data Verification** | Not enough data | Not enough data | 
| **Optical Character Recognition** | Not enough data | Not enough data | 
| **Batch Processing** | Not enough data | Not enough data | 
| **Data Aggregation and Publishing** | Not enough data | Not enough data | 
| **Job Scheduling** | Not enough data | Not enough data | 
| **Data Mining** | Not enough data | Not enough data | 
| **Proxy Rotation** | Not enough data | Not enough data | 
| **Geotargeting** | Not enough data | Not enough data | 
| **Data Aggregation** | Not enough data | Not enough data | 
| **JavaScript Rendering** | Not enough data | Not enough data | 
| **HTML Parsing** | Not enough data | Not enough data | 
| **Multiple File Format Support** | Not enough data | Not enough data | 
| **Data Cleansing** | Not enough data | Not enough data | 
| **Reporting &amp; Statistics** | Not enough data | Not enough data | 
| **Natural Language Processing** | Not enough data | Not enough data | 
| **CAPTCHA Solving** | Not enough data | Not enough data | 
| **Integration Management** | Not enough data | Not enough data | 
| **Website Crawling** | Not enough data | Not enough data | 
| **Scheduling** | Not enough data | Not enough data | 
| **Bot Mitigation** | Not enough data | Not enough data | 
| **User Management** | Not enough data | Not enough data | 
| **Customization** | Not enough data | Not enough data | 
| **Proactive Error Detection** | Not enough data | Not enough data | 

### ETL Tools

| Product | Score | Reviews |
|---|---|---|
| **Apache NiFi** | 9.2/10 | 8 |
| **IBM StreamSets** | 7.6/10 | 43 |

#### Management

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Reporting** | 9.4 (8 reviews) | 7.0 (42 reviews) | 
| **Auditing** | 9.0 (8 reviews) | 7.2 (40 reviews) | 

#### Functionality

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Extraction** | 9.6 (8 reviews) | 7.8 (41 reviews) | 
| **Transformation** | 9.3 (7 reviews) | 7.8 (41 reviews) | 
| **Loading** | 9.0 (8 reviews) | 7.7 (41 reviews) | 
| **Automation** | 9.4 (8 reviews) | 7.7 (42 reviews) | 
| **Scalability** | 8.5 (8 reviews) | 7.5 (42 reviews) | 
| **Non-Relational Transformations** | Not enough data | Not enough data | 
| **Data Extraction** | Not enough data | Not enough data | 

#### Additional Functionality

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Data Mapping** | Not enough data | Not enough data | 
| **Monitoring** | Not enough data | Not enough data | 
| **Charting** | Not enough data | Not enough data | 
| **Integration Management** | Not enough data | Not enough data | 
| **Reporting/Analytics** | Not enough data | Not enough data | 
| **Ad hoc Analysis** | Not enough data | Not enough data | 
| **Access Controls/Permissions** | Not enough data | Not enough data | 
| **API** | Not enough data | Not enough data | 
| **Match &amp; Merge** | Not enough data | Not enough data | 
| **Real-Time Monitoring** | Not enough data | Not enough data | 
| **Metadata Management** | Not enough data | Not enough data | 
| **Pipeline Management** | Not enough data | Not enough data | 
| **Job Scheduling** | Not enough data | Not enough data | 
| **Dashboard Creation** | Not enough data | Not enough data | 
| **Data Storage Management** | Not enough data | Not enough data | 
| **Multiple Data Sources** | Not enough data | Not enough data | 
| **Data Import/Export** | Not enough data | Not enough data | 
| **Generative AI** | Not enough data | Not enough data | 
| **Data Quality Control** | Not enough data | Not enough data | 
| **Data Connectors** | Not enough data | Not enough data | 
| **Customizable Reports** | Not enough data | Not enough data | 
| **Single Sign On** | Not enough data | Not enough data | 
| **Version Control** | Not enough data | Not enough data | 
| **Visual Analytics** | Not enough data | Not enough data | 
| **Accounting Integration** | Not enough data | Not enough data | 
| **Real-Time Data** | Not enough data | Not enough data | 
| **eCommerce Management** | Not enough data | Not enough data | 
| **AI Copilot** | Not enough data | Not enough data | 
| **CRM** | Not enough data | Not enough data | 
| **Data Visualization** | Not enough data | Not enough data | 
| **SSL Security** | Not enough data | Not enough data | 
| **Search/Filter** | Not enough data | Not enough data | 
| **Real-Time Analytics** | Not enough data | Not enough data | 
| **Data Capture and Transfer** | Not enough data | Not enough data | 
| **Collaboration Tools** | Not enough data | Not enough data | 
| **Performance Management** | Not enough data | Not enough data | 
| **Data Synchronization** | Not enough data | Not enough data | 
| **Drag &amp; Drop** | Not enough data | Not enough data | 
| **Data Replication** | Not enough data | Not enough data | 
| **Activity Dashboard** | Not enough data | Not enough data | 
| **Database Support** | Not enough data | Not enough data | 
| **Workflow Management** | Not enough data | Not enough data | 
| **Alerts/Notifications** | Not enough data | Not enough data | 
| **Predictive Analytics** | Not enough data | Not enough data | 
| **Data Migration** | Not enough data | Not enough data | 
| **Third-Party Integrations** | Not enough data | Not enough data | 
| **Reporting &amp; Statistics** | Not enough data | Not enough data | 
| **Data Analysis Tools** | Not enough data | Not enough data | 

### DataOps Platforms

| Product | Score | Reviews |
|---|---|---|
| **Apache NiFi** | N/A | N/A |
| **IBM StreamSets** | 7.0/10 | 17 |

#### Data Management

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Data Integration** | Not enough data | 7.4 (16 reviews) | 
| **Metadata** | Not enough data | 6.2 (14 reviews) | 
| **Self-service** | Not enough data | 6.8 (15 reviews) | 
| **Automated workflows** | Not enough data | 7.5 (14 reviews) | 

#### Agentic AI - DataOps Platforms

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 
| **Multi-step Planning** | Not enough data | Not enough data | 
| **Cross-system Integration** | Not enough data | Not enough data | 
| **Adaptive Learning** | Not enough data | Not enough data | 
| **Decision Making** | Not enough data | Not enough data | 

#### Analytics

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Analytics capabilities** | Not enough data | 7.1 (17 reviews) | 
| **Dasboard visualizations** | Not enough data | 7.0 (17 reviews) | 

#### Monitoring and Management

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Data Observability** | Not enough data | 6.7 (16 reviews) | 
| **Testing capabilities** | Not enough data | 7.1 (16 reviews) | 

#### Cloud Deployment

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Hybrid cloud support** | Not enough data | 7.1 (16 reviews) | 
| **Cloud migration capabilities** | Not enough data | 7.0 (16 reviews) | 

#### Generative AI

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **AI Text Generation** | Not enough data | 7.0 (11 reviews) | 
| **AI Text Summarization** | Not enough data | 7.3 (10 reviews) | 

### Big Data

| Product | Score | Reviews |
|---|---|---|
| **Apache NiFi** | N/A | N/A |
| **IBM StreamSets** | N/A | N/A |

#### Building Reports

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **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

| Feature | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **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 | 

---
## Categories
**Shared Categories (2):** [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms), [ETL Tools](https://www.g2.com/categories/etl-tools)


**Unique to IBM StreamSets (4):** [DataOps Platforms](https://www.g2.com/categories/dataops-platforms), [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools), [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing), [Stream Analytics Software](https://www.g2.com/categories/stream-analytics)


---
## Reviewer Demographics

### By Company Size

| Segment | Apache NiFi | IBM StreamSets | 
|---|---|---|
| **Small-Business** | 16.7% | 24.1% | 
| **Mid-Market** | 33.3% | 32.1% | 
| **Enterprise** | 50.0% | 43.8% | 

### By Industry

#### Apache NiFi

- **Telecommunications:** 8.3%
- **Internet:** 8.3%
- **Information Technology and Services:** 8.3%
- **Hospital &amp; Health Care:** 8.3%
- **Health, Wellness and Fitness:** 8.3%
- **Computer Software:** 8.3%
- **Accounting:** 4.2%
- **Airlines/Aviation:** 4.2%
- **Automotive:** 4.2%
- **Banking:** 4.2%
- **Other:** 33.3%

#### IBM StreamSets

- **Information Technology and Services:** 23.2%
- **Computer Software:** 13.4%
- **Banking:** 8.0%
- **Financial Services:** 5.4%
- **Telecommunications:** 4.5%
- **Retail:** 4.5%
- **Pharmaceuticals:** 4.5%
- **Hospital &amp; Health Care:** 3.6%
- **Airlines/Aviation:** 2.7%
- **Education Management:** 2.7%
- **Other:** 27.7%

---
## Alternatives

### Alternatives to Apache NiFi

- [SnapLogic Agentic Integration and Applied AI Platform](https://www.g2.com/products/snaplogic-agentic-integration-and-applied-ai-platform/reviews) — 4.4/5 stars (408 reviews)
- [dbt](https://www.g2.com/products/dbt/reviews) — 4.7/5 stars (209 reviews)
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews) — 4.3/5 stars (202 reviews)
- [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) — 4.6/5 stars (101 reviews)
- [IBM DataStage](https://www.g2.com/products/ibm-datastage/reviews) — 4.0/5 stars (73 reviews)
- [Fivetran](https://www.g2.com/products/fivetran/reviews) — 4.3/5 stars (837 reviews)
- [Pentaho Data Integration](https://www.g2.com/products/pentaho-data-integration/reviews) — 4.3/5 stars (17 reviews)
- [Cloudera](https://www.g2.com/products/cloudera/reviews) — 4.2/5 stars (200 reviews)
- [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (1363 reviews)
- [Maia](https://www.g2.com/products/matillion-maia/reviews) — 4.5/5 stars (125 reviews)

### Alternatives to IBM StreamSets

- [Fivetran](https://www.g2.com/products/fivetran/reviews) — 4.3/5 stars (837 reviews)
- [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (1363 reviews)
- [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) — 4.5/5 stars (639 reviews)
- [SnapLogic Agentic Integration and Applied AI Platform](https://www.g2.com/products/snaplogic-agentic-integration-and-applied-ai-platform/reviews) — 4.4/5 stars (408 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (894 reviews)
- [Snowflake](https://www.g2.com/products/snowflake/reviews) — 4.6/5 stars (762 reviews)
- [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) — 4.2/5 stars (362 reviews)
- [Domo](https://www.g2.com/products/domo/reviews) — 4.3/5 stars (1091 reviews)
- [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) — 4.3/5 stars (547 reviews)
- [Hightouch](https://www.g2.com/products/hightouch/reviews) — 4.6/5 stars (407 reviews)

---
## Top Discussions

### Apache NiFi

No discussions available for this product.

### IBM StreamSets

- Title: [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) — 1 comment
  > **Top comment:** "StreamSets is a data integration platform, delivered as a SaaS. The platform lets you build, run, monitor and manage data pipelines at scale for modern..."
- Title: [here](https://www.g2.com/discussions/33270-here) — 1 comment, 1 upvote
  > **Top comment:** "Hello Srigiri,

So sorry for the late reply here. Let us know if there is any way we can help!

Best,
Hannah Recker
Sr. Product Marketing..."

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/apache-nifi-vs-ibm-streamsets)

