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Best Enterprise Event Stream Processing Software

Blue Bowen
BB
Researched and written by Blue Bowen

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, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise 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 Enterprise Business Event Stream Processing category.

In addition to qualifying for inclusion in the Event Stream Processing Software category, to qualify for inclusion in the Enterprise Business Event Stream Processing Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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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 Enterprise Event Stream Processing Software Available

(114)4.0 out of 5
Optimized for quick response
11th Easiest To Use in Event Stream Processing software
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured,

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM StreamSets 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
    27
    User Interface
    15
    Data Management
    13
    Data Pipelining
    12
    Integrations
    12
    Cons
    Learning Curve
    12
    Expensive
    8
    Steep Learning Curve
    8
    Learning Difficulty
    7
    Poor Documentation
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM StreamSets features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.0
    Data Sources
    Average: 8.6
    8.2
    Data Processing
    Average: 8.7
    9.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured,

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 33% Mid-Market
IBM StreamSets 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
27
User Interface
15
Data Management
13
Data Pipelining
12
Integrations
12
Cons
Learning Curve
12
Expensive
8
Steep Learning Curve
8
Learning Difficulty
7
Poor Documentation
7
IBM StreamSets features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 9.0
8.0
Data Sources
Average: 8.6
8.2
Data Processing
Average: 8.7
9.0
Real-Time Processing
Average: 9.1
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(235)4.3 out of 5
6th Easiest To Use in Event Stream Processing software
Save to My Lists
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
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 46% Mid-Market
    • 29% 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
    18
    Setup Ease
    16
    Customer Support
    14
    Management Ease
    11
    Deployment Ease
    9
    Cons
    Expensive
    14
    Limited Features
    6
    Poor Documentation
    6
    Complexity
    5
    Not User-Friendly
    4
  • 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
    8.4
    Data Sources
    Average: 8.6
    8.4
    Data Processing
    Average: 8.7
    8.5
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Aiven
    Company Website
    Year Founded
    2016
    HQ Location
    Helsinki, Southern Finland
    Twitter
    @aiven_io
    3,625 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    448 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
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 46% Mid-Market
  • 29% 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
18
Setup Ease
16
Customer Support
14
Management Ease
11
Deployment Ease
9
Cons
Expensive
14
Limited Features
6
Poor Documentation
6
Complexity
5
Not User-Friendly
4
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
8.4
Data Sources
Average: 8.6
8.4
Data Processing
Average: 8.7
8.5
Real-Time Processing
Average: 9.1
Seller Details
Seller
Aiven
Company Website
Year Founded
2016
HQ Location
Helsinki, Southern Finland
Twitter
@aiven_io
3,625 Twitter followers
LinkedIn® Page
www.linkedin.com
448 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
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Mid-Market
    • 37% 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
    API Integration
    1
    Cloud Services
    1
    Data Management
    1
    Fast Processing
    1
    Integrations
    1
    Cons
    Complexity
    1
    Complexity Issues
    1
    Complex Setup
    1
    Difficult Setup
    1
    Expensive
    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
    9.1
    Data Processing
    Average: 8.7
    9.4
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,364 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 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
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Mid-Market
  • 37% 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
API Integration
1
Cloud Services
1
Data Management
1
Fast Processing
1
Integrations
1
Cons
Complexity
1
Complexity Issues
1
Complex Setup
1
Difficult Setup
1
Expensive
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
9.1
Data Processing
Average: 8.7
9.4
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(125)4.5 out of 5
8th Easiest To Use in Event Stream Processing software
View top Consulting Services for Apache Kafka
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  • 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
    • 47% Enterprise
    • 34% 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
    Scalability
    4
    Performance
    3
    Real-time Data
    3
    Reliability
    3
    Ease of Use
    2
    Cons
    Debugging Issues
    2
    Resource Intensive Learning
    2
    Complexity
    1
    Difficult Debugging
    1
    Initial Difficulties
    1
  • 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
    8.8
    Data Processing
    Average: 8.7
    9.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,738 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,345 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
  • 47% Enterprise
  • 34% 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
Scalability
4
Performance
3
Real-time Data
3
Reliability
3
Ease of Use
2
Cons
Debugging Issues
2
Resource Intensive Learning
2
Complexity
1
Difficult Debugging
1
Initial Difficulties
1
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
8.8
Data Processing
Average: 8.7
9.0
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,738 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
(112)4.4 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.

    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
    • 35% 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
    Cloud Computing
    1
    Cloud Services
    1
    Connectors
    1
    Data Integration
    1
    Documentation
    1
    Cons
    Cost Estimation
    1
    Expensive
    1
    Initial Difficulties
    1
    Lack of Features
    1
    Learning Curve
    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
    8.8
    Data Processing
    Average: 8.7
    9.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,527 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,654 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
  • 35% 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
Cloud Computing
1
Cloud Services
1
Connectors
1
Data Integration
1
Documentation
1
Cons
Cost Estimation
1
Expensive
1
Initial Difficulties
1
Lack of Features
1
Learning Curve
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
8.8
Data Processing
Average: 8.7
9.0
Real-Time Processing
Average: 9.1
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,527 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizi

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 42% Small-Business
    • 38% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Red Hat OpenShift Streams for Apache Kafka features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.6
    Data Sources
    Average: 8.6
    8.3
    Data Processing
    Average: 8.7
    8.5
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Red Hat
    Year Founded
    1993
    HQ Location
    Raleigh, NC
    Twitter
    @RedHat
    297,275 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19,575 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizi

Users
No information available
Industries
  • Computer Software
Market Segment
  • 42% Small-Business
  • 38% Enterprise
Red Hat OpenShift Streams for Apache Kafka features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.0
8.6
Data Sources
Average: 8.6
8.3
Data Processing
Average: 8.7
8.5
Real-Time Processing
Average: 9.1
Seller Details
Seller
Red Hat
Year Founded
1993
HQ Location
Raleigh, NC
Twitter
@RedHat
297,275 Twitter followers
LinkedIn® Page
www.linkedin.com
19,575 employees on LinkedIn®
(40)4.2 out of 5
10th 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: 8.7
    9.0
    Real-Time Processing
    Average: 9.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,738 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,345 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: 8.7
9.0
Real-Time Processing
Average: 9.1
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,738 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®