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Best Event Stream Processing Software for Medium-Sized Businesses

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Event Stream Processing category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Event Stream Processing to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Event Stream Processing category.

In addition to qualifying for inclusion in the Event Stream Processing Software category, to qualify for inclusion in the Medium-Sized Business Event Stream Processing Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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7 Listings in Event Stream Processing Available
(22)4.8 out of 5
2nd Easiest To Use in Event Stream Processing software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Redpanda is the most complete, Apache Kafka®-compatible streaming data platform, designed from the ground up to be lighter, faster, and simpler to operate. The all-in-one platform allows data teams to

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 64% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Redpanda Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Customer Support
    16
    Performance
    12
    Setup Ease
    9
    Speed
    8
    Cons
    Missing Features
    4
    Limitations
    3
    Limited Features
    3
    Poor UI Design
    3
    UX Improvement
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Redpanda Data features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.0
    9.5
    Data Sources
    Average: 8.6
    9.8
    Data Processing
    Average: 8.8
    9.3
    Real-Time Processing
    Average: 9.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @redpandadata
    5,173 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    171 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Redpanda is the most complete, Apache Kafka®-compatible streaming data platform, designed from the ground up to be lighter, faster, and simpler to operate. The all-in-one platform allows data teams to

Users
No information available
Industries
  • Computer Software
Market Segment
  • 64% Mid-Market
  • 36% Small-Business
Redpanda Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Customer Support
16
Performance
12
Setup Ease
9
Speed
8
Cons
Missing Features
4
Limitations
3
Limited Features
3
Poor UI Design
3
UX Improvement
3
Redpanda Data features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.0
9.5
Data Sources
Average: 8.6
9.8
Data Processing
Average: 8.8
9.3
Real-Time Processing
Average: 9.2
Seller Details
Company Website
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@redpandadata
5,173 Twitter followers
LinkedIn® Page
www.linkedin.com
171 employees on LinkedIn®
(201)4.3 out of 5
5th Easiest To Use in Event Stream Processing software
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Entry Level Price:Starting at $200.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aiven for Apache Kafka® is a fully managed distributed event streaming service, that can be deployed in the cloud of your choice. Aiven for Apache Kafka is ideal for event-driven applications, near-re

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Mid-Market
    • 23% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Aiven for Apache Kafka Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    8
    Customer Support
    3
    Documentation
    3
    Setup Ease
    3
    Open-Source Integration
    2
    Cons
    Integration Issues
    3
    Connection Issues
    1
    Data Management Issues
    1
    Expensive
    1
    Messaging Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aiven for Apache Kafka features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.5
    Data Sources
    Average: 8.6
    8.5
    Data Processing
    Average: 8.8
    8.6
    Real-Time Processing
    Average: 9.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Aiven
    Company Website
    Year Founded
    2016
    HQ Location
    Helsinki, Southern Finland
    Twitter
    @aiven_io
    3,575 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    432 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Aiven for Apache Kafka® is a fully managed distributed event streaming service, that can be deployed in the cloud of your choice. Aiven for Apache Kafka is ideal for event-driven applications, near-re

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Mid-Market
  • 23% Small-Business
Aiven for Apache Kafka Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
8
Customer Support
3
Documentation
3
Setup Ease
3
Open-Source Integration
2
Cons
Integration Issues
3
Connection Issues
1
Data Management Issues
1
Expensive
1
Messaging Issues
1
Aiven for Apache Kafka features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.0
8.5
Data Sources
Average: 8.6
8.5
Data Processing
Average: 8.8
8.6
Real-Time Processing
Average: 9.2
Seller Details
Seller
Aiven
Company Website
Year Founded
2016
HQ Location
Helsinki, Southern Finland
Twitter
@aiven_io
3,575 Twitter followers
LinkedIn® Page
www.linkedin.com
432 employees on LinkedIn®

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Kinesis Data Streams Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Real-Time Processing
    1
    Real-time Streaming
    1
    Streaming
    1
    Cons
    Complexity
    1
    Data Management
    1
    Data Management Issues
    1
    Poor Documentation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Kinesis Data Streams features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 9.0
    9.1
    Data Sources
    Average: 8.6
    9.0
    Data Processing
    Average: 8.8
    9.4
    Real-Time Processing
    Average: 9.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,229,471 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,150 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Mid-Market
  • 36% Enterprise
Amazon Kinesis Data Streams Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Real-Time Processing
1
Real-time Streaming
1
Streaming
1
Cons
Complexity
1
Data Management
1
Data Management Issues
1
Poor Documentation
1
Amazon Kinesis Data Streams features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 9.0
9.1
Data Sources
Average: 8.6
9.0
Data Processing
Average: 8.8
9.4
Real-Time Processing
Average: 9.2
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,229,471 Twitter followers
LinkedIn® Page
www.linkedin.com
143,150 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(111)4.4 out of 5
6th Easiest To Use in Event Stream Processing software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Confluent Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    2
    Deployment Ease
    1
    Documentation
    1
    Ease of Use
    1
    Easy Learning
    1
    Cons
    Cost
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Confluent features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    8.8
    Data Sources
    Average: 8.6
    8.7
    Data Processing
    Average: 8.8
    9.0
    Real-Time Processing
    Average: 9.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,213 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,482 employees on LinkedIn®
    Ownership
    NASDAQ: CFLT
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

Users
  • Senior Software Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 34% Small-Business
Confluent Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
2
Deployment Ease
1
Documentation
1
Ease of Use
1
Easy Learning
1
Cons
Cost
1
Expensive
1
Confluent features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
8.8
Data Sources
Average: 8.6
8.7
Data Processing
Average: 8.8
9.0
Real-Time Processing
Average: 9.2
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,213 Twitter followers
LinkedIn® Page
www.linkedin.com
3,482 employees on LinkedIn®
Ownership
NASDAQ: CFLT
(122)4.5 out of 5
7th Easiest To Use in Event Stream Processing software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 48% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Apache Kafka Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Easy Integrations
    3
    Integrations
    3
    Reliability
    3
    Data Management
    2
    Cons
    Dependency Issues
    2
    Learning Curve
    2
    Learning Difficulty
    2
    Resource Intensive Learning
    2
    Steep Learning Curve
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Kafka features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.7
    Data Sources
    Average: 8.6
    8.9
    Data Processing
    Average: 8.8
    9.1
    Real-Time Processing
    Average: 9.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,927 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,298 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 48% Enterprise
  • 33% Mid-Market
Apache Kafka Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Easy Integrations
3
Integrations
3
Reliability
3
Data Management
2
Cons
Dependency Issues
2
Learning Curve
2
Learning Difficulty
2
Resource Intensive Learning
2
Steep Learning Curve
2
Apache Kafka features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.7
Data Sources
Average: 8.6
8.9
Data Processing
Average: 8.8
9.1
Real-Time Processing
Average: 9.2
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,927 Twitter followers
LinkedIn® Page
www.linkedin.com
2,298 employees on LinkedIn®
(40)4.2 out of 5
9th Easiest To Use in Event Stream Processing software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Stream

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 43% Mid-Market
    • 30% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spark Streaming features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    9.0
    Data Sources
    Average: 8.6
    9.2
    Data Processing
    Average: 8.8
    9.0
    Real-Time Processing
    Average: 9.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,927 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,298 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Stream

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 43% Mid-Market
  • 30% Small-Business
Spark Streaming features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
9.0
Data Sources
Average: 8.6
9.2
Data Processing
Average: 8.8
9.0
Real-Time Processing
Average: 9.2
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,927 Twitter followers
LinkedIn® Page
www.linkedin.com
2,298 employees on LinkedIn®
(156)4.5 out of 5
1st Easiest To Use in Event Stream Processing software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates th

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 56% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tray.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    19
    Flexibility
    10
    Easy Integrations
    8
    Automation
    7
    Connectors
    7
    Cons
    Limitations
    7
    Data Management Issues
    5
    Expensive
    5
    Connector Issues
    4
    Error Reporting
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tray.ai features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Data Sources
    Average: 8.6
    8.3
    Data Processing
    Average: 8.8
    8.6
    Real-Time Processing
    Average: 9.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tray.io
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @tray
    3,126 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    148 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates th

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 56% Mid-Market
  • 34% Small-Business
Tray.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
19
Flexibility
10
Easy Integrations
8
Automation
7
Connectors
7
Cons
Limitations
7
Data Management Issues
5
Expensive
5
Connector Issues
4
Error Reporting
4
Tray.ai features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.0
9.2
Data Sources
Average: 8.6
8.3
Data Processing
Average: 8.8
8.6
Real-Time Processing
Average: 9.2
Seller Details
Seller
Tray.io
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@tray
3,126 Twitter followers
LinkedIn® Page
www.linkedin.com
148 employees on LinkedIn®